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Xinchao Wang

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2024
[j39]
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Qiyuan Yang, Zhongtian Cheng, Yan Kang, Xinchao Wang:
A novel multi-view contrastive learning for herb recommendation. Appl. Intell. 54(22): 11412-11429 (2024)
[j38]
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Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang:
A systematic review of image-level camouflaged object detection with deep learning. Neurocomputing 566: 127050 (2024)
[j37]
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Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 150-170 (2024)
[j36]
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Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 896-912 (2024)
[j35]
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Xinchao Wang, Wei Wang, Cheng Huang, Ping Cao, Youwen Zhu, Qihui Wu:
Blockchain-Based Certificateless Conditional Anonymous Authentication for IIoT. IEEE Syst. J. 18(1): 656-667 (2024)
[c154]
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Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI 2024: 6657-6665
[c153]
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Runpeng Yu, Xinchao Wang:
Neural Lineage. CVPR 2024: 4797-4807
[c152]
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Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CVPR 2024: 5672-5683
[c151]
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Yinwei Wu, Xingyi Yang, Xinchao Wang:
Relation Rectification in Diffusion Model. CVPR 2024: 7685-7694
[c150]
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Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CVPR 2024: 11333-11342
[c149]
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Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CVPR 2024: 11375-11385
[c148]
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Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CVPR 2024: 11944-11953
[c147]
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Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CVPR 2024: 11954-11963
[c146]
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Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. CVPR 2024: 15762-15772
[c145]
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Jiahao Lu, Xingyi Yang, Xinchao Wang:
Unsegment Anything by Simulating Deformation. CVPR 2024: 24294-24304
[c144]
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Xingyi Yang, Xinchao Wang:
Neural Metamorphosis. ECCV (34) 2024: 1-19
[c143]
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Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. ECCV (46) 2024: 1-17
[c142]
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Qi Li, Runpeng Yu, Xinchao Wang:
Encapsulating Knowledge in One Prompt. ECCV (65) 2024: 215-232
[c141]
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Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan:
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions. ECCV (47) 2024: 221-239
[c140]
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Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. ECCV (30) 2024: 232-250
[c139]
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Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. ECCV (30) 2024: 251-268
[c138]
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  - conf/eccv/KongLMW24
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Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
DreamDrone: Text-to-Image Diffusion Models Are Zero-Shot Perpetual View Generators. ECCV (13) 2024: 324-341
[c137]
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Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He:
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation. ECCV (67) 2024: 342-359
[c136]
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Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. ECCV (45) 2024: 346-363
[c135]
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Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang:
Vista3D: Unravel the 3D Darkside of a Single Image. ECCV (22) 2024: 405-421
[c134]
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Qiuhong Shen, Xingyi Yang, Xinchao Wang:
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally. ECCV (22) 2024: 456-472
[c133]
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  - conf/iclr/Mo0HSZW024
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Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu:
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR 2024
[c132]
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  - conf/icml/HuLWF24
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Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo:
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML 2024
[c131]
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Dongze Lian, Weihao Yu, Xinchao Wang:
Receptive Fields As Experts in Convolutional Neural Architectures. ICML 2024
[c130]
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Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. ICML 2024
[c129]
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Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang:
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models. ICML 2024
[c128]
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Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. ICML 2024
[c127]
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  - conf/ijcai/ChenLYMW24
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Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang:
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters. IJCAI 2024: 686-694
[c126]
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  - conf/mm/XiaoLMXW24
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Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, Xinchao Wang:
Unraveling Motion Uncertainty for Local Motion Deblurring. ACM Multimedia 2024: 3065-3074
[c125]
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Zeyu Xiao, Zhihe Lu, Xinchao Wang:
P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation. ACM Multimedia 2024: 8365-8373
[i161]
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  - journals/corr/abs-2401-09953
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Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann:
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR abs/2401.09953 (2024)
[i160]
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  - journals/corr/abs-2403-12570
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Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR abs/2403.12570 (2024)
[i159]
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  - journals/corr/abs-2403-18795
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Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang:
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. CoRR abs/2403.18795 (2024)
[i158]
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  - journals/corr/abs-2403-20249
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Yinwei Wu, Xingyi Yang, Xinchao Wang:
Relation Rectification in Diffusion Model. CoRR abs/2403.20249 (2024)
[i157]
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  - journals/corr/abs-2404-02585
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Jiahao Lu, Xingyi Yang, Xinchao Wang:
Unsegment Anything by Simulating Deformation. CoRR abs/2404.02585 (2024)
[i156]
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  - journals/corr/abs-2404-06091
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Xingyi Yang, Xinchao Wang:
Hash3D: Training-free Acceleration for 3D Generation. CoRR abs/2404.06091 (2024)
[i155]
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  - journals/corr/abs-2404-07850
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Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR abs/2404.07850 (2024)
[i154]
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  - journals/corr/abs-2404-14006
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Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CoRR abs/2404.14006 (2024)
[i153]
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  - journals/corr/abs-2404-14016
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Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CoRR abs/2404.14016 (2024)
[i152]
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  - journals/corr/abs-2405-05800
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Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang:
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation. CoRR abs/2405.05800 (2024)
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  - journals/corr/abs-2405-07992
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Weihao Yu, Xinchao Wang:
MambaOut: Do We Really Need Mamba for Vision? CoRR abs/2405.07992 (2024)
[i150]
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  - journals/corr/abs-2405-18426
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Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang:
GFlow: Recovering 4D World from Monocular Video. CoRR abs/2405.18426 (2024)
[i149]
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  - journals/corr/abs-2406-00275
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Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR abs/2406.00275 (2024)
[i148]
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  - journals/corr/abs-2406-01733
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Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang:
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. CoRR abs/2406.01733 (2024)
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  - journals/corr/abs-2406-06367
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Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang:
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR abs/2406.06367 (2024)
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  - journals/corr/abs-2406-06911
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Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang:
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. CoRR abs/2406.06911 (2024)
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  - journals/corr/abs-2406-08810
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Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang:
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR abs/2406.08810 (2024)
[i144]
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  - journals/corr/abs-2406-11129
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Runpeng Yu, Xinchao Wang:
Neural Lineage. CoRR abs/2406.11129 (2024)
[i143]
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  - journals/corr/abs-2406-16260
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Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang:
Video-Infinity: Distributed Long Video Generation. CoRR abs/2406.16260 (2024)
[i142]
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  - journals/corr/abs-2407-04616
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Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. CoRR abs/2407.04616 (2024)
[i141]
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Xingyi Yang, Xinchao Wang:
Compositional Video Generation as Flow Equalization. CoRR abs/2407.06182 (2024)
[i140]
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Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR abs/2407.06964 (2024)
[i139]
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Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang:
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. CoRR abs/2407.10468 (2024)
[i138]
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Qi Li, Runpeng Yu, Xinchao Wang:
Encapsulating Knowledge in One Prompt. CoRR abs/2407.11902 (2024)
[i137]
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Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan:
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions. CoRR abs/2407.15451 (2024)
[i136]
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Runpeng Yu, Weihao Yu, Xinchao Wang:
KAN or MLP: A Fairer Comparison. CoRR abs/2407.16674 (2024)
[i135]
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Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang:
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. CoRR abs/2408.00765 (2024)
[i134]
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Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang:
Heavy Labels Out! Dataset Distillation with Label Space Lightening. CoRR abs/2408.08201 (2024)
[i133]
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Bonan Li, Zicheng Zhang, Xingyi Yang, Xinchao Wang:
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation. CoRR abs/2408.13149 (2024)
[i132]
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Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He:
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation. CoRR abs/2408.13983 (2024)
[i131]
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Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang:
LinFusion: 1 GPU, 1 Minute, 16K Image. CoRR abs/2409.02097 (2024)
[i130]
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Yinwei Wu, Xianpan Zhou, Bing Ma, Xuefeng Su, Kai Ma, Xinchao Wang:
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation. CoRR abs/2409.08240 (2024)
[i129]
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Qiuhong Shen, Xingyi Yang, Xinchao Wang:
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally. CoRR abs/2409.08270 (2024)
[i128]
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Xingyi Yang, Xinchao Wang:
Kolmogorov-Arnold Transformer. CoRR abs/2409.10594 (2024)
[i127]
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Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang:
Vista3D: Unravel the 3D Darkside of a Single Image. CoRR abs/2409.12193 (2024)
[i126]
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  - journals/corr/abs-2409-17143
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Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. CoRR abs/2409.17143 (2024)
[i125]
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Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang:
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. CoRR abs/2409.17481 (2024)
[i124]
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Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. CoRR abs/2410.07579 (2024)
[i123]
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Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan:
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting. CoRR abs/2410.08190 (2024)
[i122]
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  - journals/corr/abs-2410-11878
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Xingyi Yang, Xinchao Wang:
Neural Metamorphosis. CoRR abs/2410.11878 (2024)
[i121]
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Mengnan Zhao, Lihe Zhang, Jingwen Ye, Huchuan Lu, Baocai Yin, Xinchao Wang:
Adversarial Training: A Survey. CoRR abs/2410.15042 (2024)
[i120]
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  - journals/corr/abs-2411-01155
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Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. CoRR abs/2411.01155 (2024)
2023
[j34]
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Yan Kang, Yulong Xu, Xinchao Wang, Bin Pu, Xuekun Yang, Yulong Rao, Jianguo Chen:
HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction. Briefings Bioinform. 24(1) (2023)
[j33]
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Yan Kang, Xinchao Wang, Cheng Xie, Huadong Zhang, Wentao Xie:
BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction. Comput. Biol. Medicine 167: 107588 (2023)
[j32]
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Yan Kang, Wentao Xie, Xiaopeng Wang, Haining Wang, Xinchao Wang, Jinyuan Li:
MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering. Expert Syst. Appl. 226: 120207 (2023)
[j31]
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Yadi Shi, Guihe Qin, Yanhua Liang, Xinchao Wang, Jie Yan, Zhonghan Zhang:
Salient object detection based on edge-interior feature fusion. IET Image Process. 17(2): 337-348 (2023)
[j30]
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Jianfeng Zhang, Kehong Gong, Xinchao Wang, Jiashi Feng:
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10012-10026 (2023)
[j29]
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Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons. Pattern Recognit. 139: 109403 (2023)
[j28]
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Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Trans. Knowl. Data Eng. 35(10): 10151-10165 (2023)
[c124]
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Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang:
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. CVPR 2023: 1410-1420
[c123]
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  - conf/cvpr/CondeKSBTKZWWPPLLSSCXLCYLJMWYLLZHYMLGZ23
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Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659
[c122]
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Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang:
Distribution Shift Inversion for Out-of-Distribution Prediction. CVPR 2023: 3592-3602
[c121]
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Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang:
Slimmable Dataset Condensation. CVPR 2023: 3759-3768
[c120]
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  - conf/cvpr/0012LJ0W23
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Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang:
Task Residual for Tuning Vision-Language Models. CVPR 2023: 10899-10909
[c119]
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Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CVPR 2023: 16091-16101
[c118]
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Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang:
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CVPR 2023: 18329-18338
[c117]
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Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CVPR 2023: 20137-20146
[c116]
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Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CVPR 2023: 22552-22562
[c115]
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Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CVPR 2023: 24345-24354
[c114]
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  - conf/iccv/NieXWYXZHMW023
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Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang:
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. ICCV 2023: 3778-3790
[c113]
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Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV 2023: 5980-5991
[c112]
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Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang:
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. ICCV 2023: 9475-9486
[c111]
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Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. ICCV 2023: 9908-9918
[c110]
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Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
Priority-Centric Human Motion Generation in Discrete Latent Space. ICCV 2023: 14760-14770
[c109]
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Songhua Liu, Xinchao Wang:
Few-Shot Dataset Distillation via Translative Pre-Training. ICCV 2023: 18608-18618
[c108]
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  - conf/iccv/YangW23
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Xingyi Yang, Xinchao Wang:
Diffusion Model as Representation Learner. ICCV 2023: 18892-18903
[c107]
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Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693
[c106]
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Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang:
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. NeurIPS 2023
[c105]
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Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. NeurIPS 2023
[c104]
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Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang:
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation. NeurIPS 2023
[c103]
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Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang:
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS 2023
[c102]
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Songhua Liu, Xinchao Wang:
MGDD: A Meta Generator for Fast Dataset Distillation. NeurIPS 2023
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Xinyin Ma, Gongfan Fang, Xinchao Wang:
LLM-Pruner: On the Structural Pruning of Large Language Models. NeurIPS 2023
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Runpeng Yu, Xinchao Wang:
Generator Born from Classifier. NeurIPS 2023
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Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. CoRR abs/2301.07014 (2023)
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Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CoRR abs/2301.12900 (2023)
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Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CoRR abs/2303.10597 (2023)
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Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang:
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR abs/2303.10876 (2023)
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Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CoRR abs/2303.16900 (2023)
[i114]
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Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR abs/2304.02419 (2023)
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Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR abs/2304.07503 (2023)
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Songhua Liu, Jingwen Ye, Xinchao Wang:
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR abs/2304.09728 (2023)
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Qiuhong Shen, Xingyi Yang, Xinchao Wang:
Anything-3D: Towards Single-view Anything Reconstruction in the Wild. CoRR abs/2304.10261 (2023)
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Yongcheng Jing, Xinchao Wang, Dacheng Tao:
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. CoRR abs/2304.11595 (2023)
[i109]
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Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang:
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CoRR abs/2304.11818 (2023)
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Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CoRR abs/2304.14593 (2023)
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Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang:
Can SAM Boost Video Super-Resolution? CoRR abs/2305.06524 (2023)
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Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. CoRR abs/2305.10924 (2023)
[i105]
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Xinyin Ma, Gongfan Fang, Xinchao Wang:
LLM-Pruner: On the Structural Pruning of Large Language Models. CoRR abs/2305.11627 (2023)
[i104]
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Zhihe Lu, Shuicheng Yan, Xinchao Wang:
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation. CoRR abs/2306.02027 (2023)
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Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang:
Distribution Shift Inversion for Out-of-Distribution Prediction. CoRR abs/2306.08328 (2023)
[i102]
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Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo:
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR abs/2307.07489 (2023)
[i101]
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Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang:
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. CoRR abs/2308.02490 (2023)
[i100]
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Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang:
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. CoRR abs/2308.03982 (2023)
[i99]
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Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang:
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. CoRR abs/2308.08942 (2023)
[i98]
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Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen:
Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey. CoRR abs/2308.09388 (2023)
[i97]
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Xingyi Yang, Xinchao Wang:
Diffusion Model as Representation Learner. CoRR abs/2308.10916 (2023)
[i96]
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Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR abs/2308.12216 (2023)
[i95]
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Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
Priority-Centric Human Motion Generation in Discrete Latent Space. CoRR abs/2308.14480 (2023)
[i94]
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Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang:
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. CoRR abs/2309.13625 (2023)
[i93]
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Zhenxiong Tan, Kaixin Wang, Xinchao Wang:
C-Procgen: Empowering Procgen with Controllable Contexts. CoRR abs/2311.07312 (2023)
[i92]
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Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang:
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models. CoRR abs/2311.17091 (2023)
[i91]
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Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. CoRR abs/2312.00858 (2023)
[i90]
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Runpeng Yu, Xinchao Wang:
Generator Born from Classifier. CoRR abs/2312.02470 (2023)
[i89]
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  - journals/corr/abs-2312-05284
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Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang:
0.1% Data Makes Segment Anything Slim. CoRR abs/2312.05284 (2023)
[i88]
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Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
DreamDrone. CoRR abs/2312.08746 (2023)
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Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR abs/2312.12768 (2023)
2022
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Qianchao Wang, Lei Pan, Haitao Wang, Xinchao Wang, Ying Zhu:
Short-term wind power probabilistic forecasting using a new neural computing approach: GMC-DeepNN-PF. Appl. Soft Comput. 126: 109247 (2022)
[j26]
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Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song:
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7871-7884 (2022)
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Jiawei Chen, Jian Wang, Xinchao Wang, Xingen Wang, Zunlei Feng, Ruitao Liu, Mingli Song:
CoEvo-Net: Coevolution Network for Video Highlight Detection. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3788-3797 (2022)
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Fuxiang Wu, Jun Cheng, Xinchao Wang, Lei Wang, Dapeng Tao:
Image Hallucination From Attribute Pairs. IEEE Trans. Cybern. 52(1): 568-581 (2022)
[j23]
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Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song:
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. IEEE Trans. Knowl. Data Eng. 34(12): 6047-6060 (2022)
[c99]
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Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. AAAI 2022: 3117-3124
[c98]
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Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-Free Knowledge Distillation. AAAI 2022: 6597-6604
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  - conf/acl/ZhaoZ0LJW022
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Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li:
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. ACL (1) 2022: 5699-5710
[c96]
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  - conf/cvpr/DuNCHWW22
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Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang:
Geometric Structure Preserving Warp for Natural Image Stitching. CVPR 2022: 3678-3686
[c95]
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Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CVPR 2022: 7131-7140
[c94]
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Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CVPR 2022: 8511-8520
[c93]
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Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819
[c92]
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  - conf/cvpr/RenZHFW22
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Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR 2022: 10843-10852
[c91]
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Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CVPR 2022: 11007-11017
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Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR 2022: 11727-11736
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Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CVPR 2022: 12186-12195
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Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) 2022: 72-90
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Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. ECCV (34) 2022: 73-91
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Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. ECCV (11) 2022: 87-103
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Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. ECCV (25) 2022: 110-128
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Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128
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Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. ECCV Workshops (8) 2022: 308-325
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Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. ECCV (34) 2022: 322-340
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Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang:
Relationship Spatialization for Depth Estimation. ECCV (37) 2022: 615-637
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Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. ECCV Workshops (3) 2022: 668-685
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Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition. ICASSP 2022: 4703-4707
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Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022
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Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. ICML 2022: 3040-3055
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Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. IJCAI 2022: 4296-4302
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Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29
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Xin Jin, Tianyu He, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. ACM Multimedia 2022: 2163-2172
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Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS 2022
[c72]
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Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. NeurIPS 2022
[c71]
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Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. NeurIPS 2022
[c70]
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Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022
[c69]
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Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. NeurIPS 2022
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Jingwen Ye, Zunlei Feng, Xinchao Wang:
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples. VCIP 2022: 1-5
[i86]
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  - journals/corr/abs-2203-01531
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Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CoRR abs/2203.01531 (2022)
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  - journals/corr/abs-2203-13394
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Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CoRR abs/2203.13394 (2022)
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  - journals/corr/abs-2203-15625
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Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CoRR abs/2203.15625 (2022)
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  - journals/corr/abs-2204-02547
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Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR abs/2204.02547 (2022)
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  - journals/corr/abs-2205-00186
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Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You:
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. CoRR abs/2205.00186 (2022)
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  - journals/corr/abs-2205-07523
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Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. CoRR abs/2205.07523 (2022)
[i80]
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  - journals/corr/abs-2205-10237
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Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li:
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. CoRR abs/2205.10237 (2022)
[i79]
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  - journals/corr/abs-2205-11090
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Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You:
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders. CoRR abs/2205.11090 (2022)
[i78]
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  - journals/corr/abs-2205-11279
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Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang:
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022)
[i77]
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  - journals/corr/abs-2205-12956
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Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. CoRR abs/2205.12956 (2022)
[i76]
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  - journals/corr/abs-2206-06293
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Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. CoRR abs/2206.06293 (2022)
[i75]
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  - journals/corr/abs-2206-06620
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Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CoRR abs/2206.06620 (2022)
[i74]
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  - journals/corr/abs-2207-01955
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Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. CoRR abs/2207.01955 (2022)
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  - journals/corr/abs-2207-03337
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Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. CoRR abs/2207.03337 (2022)
[i72]
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  - journals/corr/abs-2207-06124
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Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR abs/2207.06124 (2022)
[i71]
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  - journals/corr/abs-2207-08224
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Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022)
[i70]
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  - journals/corr/abs-2207-11681
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Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. CoRR abs/2207.11681 (2022)
[i69]
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  - journals/corr/abs-2207-11789
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Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. CoRR abs/2207.11789 (2022)
[i68]
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  - journals/corr/abs-2207-13309
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Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song:
Federated Selective Aggregation for Knowledge Amalgamation. CoRR abs/2207.13309 (2022)
[i67]
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  - journals/corr/abs-2208-00561
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Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: a 3D Generative Model for Animatable Human Avatars. CoRR abs/2208.00561 (2022)
[i66]
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  - journals/corr/abs-2208-11975
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Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons. CoRR abs/2208.11975 (2022)
[i65]
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  - journals/corr/abs-2210-04206
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Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. CoRR abs/2210.04206 (2022)
[i64]
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  - journals/corr/abs-2210-04532
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Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022)
[i63]
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  - journals/corr/abs-2210-08823
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Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR abs/2210.08823 (2022)
[i62]
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  - journals/corr/abs-2210-13153
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Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022)
[i61]
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  - journals/corr/abs-2210-13452
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Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022)
[i60]
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  - journals/corr/abs-2210-16774
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Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. CoRR abs/2210.16774 (2022)
[i59]
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  - journals/corr/abs-2210-17409
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Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. CoRR abs/2210.17409 (2022)
[i58]
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  - journals/corr/abs-2211-10277
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Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang:
Task Residual for Tuning Vision-Language Models. CoRR abs/2211.10277 (2022)
[i57]
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Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. CoRR abs/2211.14589 (2022)
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Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CoRR abs/2211.17106 (2022)
2021
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Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao:
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 745-752 (2021)
[j21]
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Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. IEEE Trans. Image Process. 30: 1439-1452 (2021)
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Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. AAAI 2021: 1325-1333
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Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. AAAI 2021: 1334-1342
[c65]
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Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. AAAI 2021: 1628-1636
[c64]
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Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549
[c63]
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Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. AAAI 2021: 8653-8661
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Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360
[c61]
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. CVPR 2021: 7772-7781
[c60]
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Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CVPR 2021: 8074-8084
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Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking With Cross-Task Synergy. CVPR 2021: 8136-8145
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Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao:
Scene Essence. CVPR 2021: 8322-8333
[c57]
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Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497
[c56]
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Amalgamating Knowledge From Heterogeneous Graph Neural Networks. CVPR 2021: 15709-15718
[c55]
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Shaoli Huang, Xinchao Wang, Dacheng Tao:
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition. ICCV 2021: 600-609
[c54]
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Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song:
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. ICCV 2021: 4016-4025
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Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song:
Self-born Wiring for Neural Trees. ICCV 2021: 5027-5036
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. ICCV 2021: 5281-5290
[c51]
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Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. IJCAI 2021: 629-635
[c50]
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Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380
[c49]
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Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI 2021: 3228-3234
[c48]
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Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932
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Haipei Sun, Yiding Yang, Yanying Li, Huihui Liu, Xinchao Wang, Wendy Hui Wang:
Automating Fairness Configurations for Machine Learning. WWW (Companion Volume) 2021: 193-201
[i55]
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  - journals/corr/abs-2101-03464
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Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. CoRR abs/2101.03464 (2021)
[i54]
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  - journals/corr/abs-2103-00430
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Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021)
[i53]
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Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking with Cross-Task Synergy. CoRR abs/2104.00380 (2021)
[i52]
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  - journals/corr/abs-2105-04181
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Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR abs/2105.04181 (2021)
[i51]
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Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584 (2021)
[i50]
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Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CoRR abs/2106.03772 (2021)
[i49]
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  - journals/corr/abs-2108-00379
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Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. CoRR abs/2108.00379 (2021)
[i48]
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Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. CoRR abs/2108.00384 (2021)
[i47]
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Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. CoRR abs/2108.01075 (2021)
[i46]
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Lianbo Zhang, Shaoli Huang, Xinchao Wang, Wei Liu, Dacheng Tao:
Structure-Aware Feature Generation for Zero-Shot Learning. CoRR abs/2108.07032 (2021)
[i45]
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. CoRR abs/2109.12872 (2021)
[i44]
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  - journals/corr/abs-2110-15094
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Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. CoRR abs/2110.15094 (2021)
[i43]
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  - journals/corr/abs-2111-00865
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Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition. CoRR abs/2111.00865 (2021)
[i42]
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  - journals/corr/abs-2111-10032
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Xin Jin, Tianyu He, Zhiheng Yin, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen:
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. CoRR abs/2111.10032 (2021)
[i41]
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Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021)
[i40]
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Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021)
[i39]
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  - journals/corr/abs-2112-03695
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Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. CoRR abs/2112.03695 (2021)
[i38]
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  - journals/corr/abs-2112-06253
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Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-free Knowledge Distillation. CoRR abs/2112.06253 (2021)
[i37]
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Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only. CoRR abs/2112.11153 (2021)
2020
[j20]
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Hao Xiong, Chaoyue Wang, Xinchao Wang, Dacheng Tao:
Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing. IEEE Access 8: 13457-13466 (2020)
[j19]
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Long Lan, Xinchao Wang, Gang Hua, Thomas S. Huang, Dacheng Tao:
Semi-online Multi-people Tracking by Re-identification. Int. J. Comput. Vis. 128(7): 1937-1955 (2020)
[j18]
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Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song:
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance. IEEE Trans. Image Process. 29: 1177-1191 (2020)
[j17]
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Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation. IEEE Trans. Image Process. 29: 4516-4529 (2020)
[j16]
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Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao:
Principal Component Adversarial Example. IEEE Trans. Image Process. 29: 4804-4815 (2020)
[c46]
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Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. AAAI 2020: 4369-4376
[c45]
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Maoying Qiao, Jun Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Diversified Bayesian Nonnegative Matrix Factorization. AAAI 2020: 5420-5427
[c44]
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Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. AAAI 2020: 6917-6924
[c43]
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  - conf/accv/WangWSLS20
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Haiyang Wang, Xinchao Wang, Jie Song, Jie Lei, Mingli Song:
Faster Self-adaptive Deep Stereo. ACCV (1) 2020: 175-191
[c42]
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  - conf/cvpr/SongCYWSMS20
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Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CVPR 2020: 3921-3929
[c41]
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Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge From Graph Convolutional Networks. CVPR 2020: 7072-7081
[c40]
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  - conf/cvpr/ZhouDLWT20
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Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-Fidelity Face Completion. CVPR 2020: 7677-7686
[c39]
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  - conf/cvpr/YeJWGS20
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Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CVPR 2020: 12513-12522
[c38]
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  - conf/eccv/QiuYWT20
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Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao:
Hallucinating Visual Instances in Total Absentia. ECCV (5) 2020: 264-282
[c37]
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  - conf/eccv/0001PWWTS20
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Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song:
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning. ECCV (6) 2020: 631-646
[c36]
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Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Learning Propagation Rules for Attribution Map Generation. ECCV (20) 2020: 672-688
[c35]
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  - conf/iscas/ChenMWY20
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Junming Chen, Jingjing Meng, Xinchao Wang, Junsong Yuan:
Dynamic Graph CNN for Event-Camera Based Gesture Recognition. ISCAS 2020: 1-5
[c34]
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Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song:
One-sample Guided Object Representation Disassembling. NeurIPS 2020
[c33]
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Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang:
Factorizable Graph Convolutional Networks. NeurIPS 2020
[i36]
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  - journals/corr/abs-2003-07496
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Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. CoRR abs/2003.07496 (2020)
[i35]
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  - journals/corr/abs-2003-09088
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Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song:
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. CoRR abs/2003.09088 (2020)
[i34]
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  - journals/corr/abs-2003-10477
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Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Distilling Knowledge from Graph Convolutional Networks. CoRR abs/2003.10477 (2020)
[i33]
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  - journals/corr/abs-2003-13903
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Tong Zhou, Changxing Ding, Shaowen Lin, Xinchao Wang, Dacheng Tao:
Learning Oracle Attention for High-fidelity Face Completion. CoRR abs/2003.13903 (2020)
[i32]
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  - journals/corr/abs-2004-01426
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Zunlei Feng, Xinchao Wang, Yongming He, Yike Yuan, Xin Gao, Mingli Song:
Disassembling Object Representations without Labels. CoRR abs/2004.01426 (2020)
[i31]
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  - journals/corr/abs-2007-05441
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Gongfan Fang, Xinchao Wang, Haofei Zhang, Jie Song, Mingli Song:
Impression Space from Deep Template Network. CoRR abs/2007.05441 (2020)
[i30]
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  - journals/corr/abs-2007-09509
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Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. CoRR abs/2007.09509 (2020)
[i29]
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  - journals/corr/abs-2010-05421
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Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang:
Factorizable Graph Convolutional Networks. CoRR abs/2010.05421 (2020)
[i28]
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  - journals/corr/abs-2010-07210
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Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang:
Learning Propagation Rules for Attribution Map Generation. CoRR abs/2010.07210 (2020)
[i27]
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  - journals/corr/abs-2012-04846
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Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. CoRR abs/2012.04846 (2020)
[i26]
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  - journals/corr/abs-2012-04915
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Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. CoRR abs/2012.04915 (2020)
[i25]
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  - journals/corr/abs-2012-06002
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Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. CoRR abs/2012.06002 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j15]
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Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming Xiang, Chunhong Pan, Pascal Fua:
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction. IEEE Trans. Image Process. 28(10): 4774-4789 (2019)
[j14]
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Xinmei Tian, Ya Li, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1818-1830 (2019)
[c32]
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  - conf/aaai/ShenWSSS19
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Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. AAAI 2019: 3068-3075
[c31]
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Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-Identification. AAAI 2019: 8295-8302
[c30]
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Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247
[c29]
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Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CVPR 2019: 2829-2838
[c28]
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Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao:
World From Blur. CVPR 2019: 8493-8504
[c27]
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  - conf/iccv/ShenXWSSS19
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Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. ICCV 2019: 3503-3512
[c26]
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Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts. ICCV 2019: 7770-7779
[c25]
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  - conf/ijcai/LuoWFHTS19
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Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. IJCAI 2019: 3087-3093
[c24]
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  - conf/ijcai/YangWSYT19
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Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. IJCAI 2019: 4099-4105
[c23]
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Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. IJCAI 2019: 4128-4134
[c22]
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  - conf/mipr/YuFYWWJBKSWWH19
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Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang:
A Novel Framework for 3D-2D Vertebra Matching. MIPR 2019: 121-126
[c21]
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Jiajun Deng, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Self-Reproducing Video Frame Interpolation. MIPR 2019: 193-198
[c20]
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Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. NeurIPS 2019: 6179-6189
[c19]
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  - conf/wacv/LiuZWHZH19
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Ding Liu, Zixu Zhao, Xinchao Wang, Yuxiao Hu, Lei Zhang, Thomas S. Huang:
Improving 3D Human Pose Estimation Via 3D Part Affinity Fields. WACV 2019: 1004-1013
[i24]
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  - journals/corr/abs-1904-06024
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Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao:
A Light Dual-Task Neural Network for Haze Removal. CoRR abs/1904.06024 (2019)
[i23]
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  - journals/corr/abs-1904-10167
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Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song:
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. CoRR abs/1904.10167 (2019)
[i22]
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  - journals/corr/abs-1905-07862
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Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao:
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts. CoRR abs/1905.07862 (2019)
[i21]
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  - journals/corr/abs-1905-11569
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Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song:
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. CoRR abs/1905.11569 (2019)
[i20]
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  - journals/corr/abs-1906-01796
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Chenhong Zhou, Changxing Ding, Xinchao Wang, Zhentai Lu, Dacheng Tao:
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation. CoRR abs/1906.01796 (2019)
[i19]
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  - journals/corr/abs-1906-10546
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Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song:
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning. CoRR abs/1906.10546 (2019)
[i18]
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  - journals/corr/abs-1908-07121
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Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation. CoRR abs/1908.07121 (2019)
[i17]
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  - journals/corr/abs-1909-11902
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Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song:
Deep Model Transferability from Attribution Maps. CoRR abs/1909.11902 (2019)
[i16]
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  - journals/corr/abs-1911-06953
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Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen:
Dynamic Instance Normalization for Arbitrary Style Transfer. CoRR abs/1911.06953 (2019)
[i15]
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  - journals/corr/abs-1911-11502
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Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song:
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers. CoRR abs/1911.11502 (2019)
[i14]
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  - journals/corr/abs-1912-11006
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Gongfan Fang, Jie Song, Chengchao Shen, Xinchao Wang, Da Chen, Mingli Song:
Data-Free Adversarial Distillation. CoRR abs/1912.11006 (2019)
2018
[j13]
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  - journals/spl/ZhangWBT18
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Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao:
A Light Dual-Task Neural Network for Haze Removal. IEEE Signal Process. Lett. 25(8): 1231-1235 (2018)
[j12]
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Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018)
[j11]
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Long Lan, Xinchao Wang, Shiliang Zhang, Dacheng Tao, Wen Gao, Thomas S. Huang:
Interacting Tracklets for Multi-Object Tracking. IEEE Trans. Image Process. 27(9): 4585-4597 (2018)
[c18]
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  - conf/cvpr/Shi18
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Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. CVPR Workshops 2018: 116-120
[c17]
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Fangfang Wang, Liming Zhao, Xi Li, Xinchao Wang, Dacheng Tao:
Geometry-Aware Scene Text Detection With Instance Transformation Network. CVPR 2018: 1381-1389
[c16]
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Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao:
FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification. ECCV (10) 2018: 475-490
[c15]
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Haoyu Zhou, Haifeng Zhang, Yushan Zhou, Xinchao Wang, Wenxin Li:
Botzone: an online multi-agent competitive platform for AI education. ITiCSE 2018: 33-38
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Chenhong Zhou, Changxing Ding, Zhentai Lu, Xinchao Wang, Dacheng Tao:
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation. MICCAI (3) 2018: 637-645
[c13]
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Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. NeurIPS 2018: 5898-5908
[i13]
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  - journals/corr/abs-1804-04784
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Xiaoqing Yin, Xinchao Wang, Jun Yu, Maojun Zhang, Pascal Fua, Dacheng Tao:
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification. CoRR abs/1804.04784 (2018)
[i12]
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Xiaoqing Yin, Xiyang Dai, Xinchao Wang, Maojun Zhang, Dacheng Tao, Larry S. Davis:
Deep Motion Boundary Detection. CoRR abs/1804.04785 (2018)
[i11]
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Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-identification. CoRR abs/1804.05275 (2018)
[i10]
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  - journals/corr/abs-1804-08087
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Fusheng Hao, Jun Cheng, Lei Wang, Xinchao Wang, Jianzhong Cao, Xiping Hu, Dapeng Tao:
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks. CoRR abs/1804.08087 (2018)
[i9]
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  - journals/corr/abs-1805-10583
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Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. CoRR abs/1805.10583 (2018)
[i8]
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  - journals/corr/abs-1808-08718
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Jiahui Yu, Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas S. Huang:
Wide Activation for Efficient and Accurate Image Super-Resolution. CoRR abs/1808.08718 (2018)
[i7]
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  - journals/corr/abs-1811-02796
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Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song:
Amalgamating Knowledge towards Comprehensive Classification. CoRR abs/1811.02796 (2018)
2017
[j10]
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Guoli Wang, Xinchao Wang, Bin Fan, Chunhong Pan:
Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image. IEEE Geosci. Remote. Sens. Lett. 14(6): 851-855 (2017)
[j9]
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Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang:
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Process. 26(10): 4765-4776 (2017)
[j8]
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Engin Türetken, Xinchao Wang, Carlos J. Becker, Carsten Haubold, Pascal Fua:
Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences. IEEE Trans. Medical Imaging 36(4): 942-951 (2017)
[c12]
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Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang:
Transformed Anti-Sparse Hashing. BMVC 2017
[c11]
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Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao:
On Compressing Deep Models by Low Rank and Sparse Decomposition. CVPR 2017: 67-76
[c10]
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Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121
[c9]
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Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops 2017: 1157-1164
[c8]
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Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua:
Non-Markovian Globally Consistent Multi-object Tracking. ICCV 2017: 2563-2573
[c7]
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Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang:
Computed tomography super-resolution using convolutional neural networks. ICIP 2017: 3944-3948
[c6]
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Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas S. Huang:
Effective object detection from traffic camera videos. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5
[i6]
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  - journals/corr/abs-1712-00886
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Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017)
[i5]
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  - journals/corr/abs-1712-05271
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Bin Fan, Qingqun Kong, Xinchao Wang, Zhiheng Wang, Shiming Xiang, Chunhong Pan, Pascal Fua:
A Performance Evaluation of Local Features for Image Based 3D Reconstruction. CoRR abs/1712.05271 (2017)
2016
[j7]
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Vasileios Belagiannis, Xinchao Wang, Horesh Ben Shitrit, Kiyoshi Hashimoto, Ralf Stauder, Yoshimitsu Aoki, Michael Kranzfelder, Armin Schneider, Pascal Fua, Slobodan Ilic, Hubertus Feussner, Nassir Navab:
Parsing human skeletons in an operating room. Mach. Vis. Appl. 27(7): 1035-1046 (2016)
[j6]
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Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua:
Tracking Interacting Objects Using Intertwined Flows. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2312-2326 (2016)
[c5]
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Andrii Maksai, Xinchao Wang, Pascal Fua:
What Players do with the Ball: A Physically Constrained Interaction Modeling. CVPR 2016: 972-981
[c4]
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Bin Fan, Qingqun Kong, Wei Sui, Zhiheng Wang, Xinchao Wang, Shiming Xiang, Chunhong Pan, Pascal Fua:
Do We Need Binary Features for 3D Reconstruction? CVPR Workshops 2016: 1126-1135
[i4]
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Bin Fan, Qingqun Kong, Wei Sui, Zhiheng Wang, Xinchao Wang, Shiming Xiang, Chunhong Pan, Pascal Fua:
Do We Need Binary Features for 3D Reconstruction? CoRR abs/1602.04502 (2016)
[i3]
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Andrii Maksai, Xinchao Wang, François Fleuret, Pascal Fua:
Globally Consistent Multi-People Tracking using Motion Patterns. CoRR abs/1612.00604 (2016)
2015
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Xinchao Wang:
Tracking Interacting Objects in Image Sequences. EPFL, Switzerland, 2015
[i2]
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Engin Türetken, Xinchao Wang, Carlos J. Becker, Pascal Fua:
Detecting and Tracking Cells using Network Flow Programming. CoRR abs/1501.05499 (2015)
[i1]
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Andrii Maksai, Xinchao Wang, Pascal Fua:
What Players do with the Ball: A Physically Constrained Interaction Modeling. CoRR abs/1511.06181 (2015)
2014
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Xinchao Wang, Vitaly Ablavsky, Horesh Ben Shitrit, Pascal Fua:
Take your eyes off the ball: Improving ball-tracking by focusing on team play. Comput. Vis. Image Underst. 119: 102-115 (2014)
[c3]
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Xinchao Wang, Engin Türetken, François Fleuret, Pascal Fua:
Tracking Interacting Objects Optimally Using Integer Programming. ECCV (1) 2014: 17-32
[c2]
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Vasileios Belagiannis, Xinchao Wang, Bernt Schiele, Pascal Fua, Slobodan Ilic, Nassir Navab:
Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures. ECCV Workshops (1) 2014: 742-754
2013
[j4]
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  - journals/tip/WangBT13
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Xinchao Wang, Wei Bian, Dacheng Tao:
Grassmannian Regularized Structured Multi-View Embedding for Image Classification. IEEE Trans. Image Process. 22(7): 2646-2660 (2013)
2011
[j3]
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Xinchao Wang, Zhu Li, Dacheng Tao:
Subspaces Indexing Model on Grassmann Manifold for Image Search. IEEE Trans. Image Process. 20(9): 2627-2635 (2011)
[j2]
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Xinchao Wang, Zhu Li, Dacheng Tao:
Corrections to "Subspaces Indexing Model on Grassmann Manifold for Image Search". IEEE Trans. Image Process. 20(12): 3658 (2011)
[c1]
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Xinchao Wang, Zhu Li, Lei Zhang, Junsong Yuan:
Grassmann Hashing for approximate nearest neighbor search in high dimensional space. ICME 2011: 1-6
2010
[j1]
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  - journals/sigpro/WangTL10
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Xinchao Wang, Dacheng Tao, Zhu Li:
Entropy controlled Laplacian regularization for least square regression. Signal Process. 90(6): 2043-2049 (2010)

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