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Tianzhu Zhang

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2024
[j95]
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Xun Yang, Tianyu Chang, Tianzhu Zhang, Shanshan Wang, Richang Hong, Meng Wang:
Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition. Int. J. Comput. Vis. 132(11): 4823-4849 (2024)
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Jiamin Wu, Tianzhu Zhang, Yongdong Zhang:
HybridPrompt: Domain-Aware Prompting for Cross-Domain Few-Shot Learning. Int. J. Comput. Vis. 132(12): 5681-5697 (2024)
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Nanqing Xu, Weiwei Feng, Tianzhu Zhang, Yongdong Zhang:
FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks. Int. J. Comput. Vis. 132(12): 5801-5819 (2024)
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Ruijie Zhu, Ziyang Song, Li Liu, Jianfeng He, Tianzhu Zhang, Yongdong Zhang:
HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation Across Multiple Datasets. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4354-4366 (2024)
[j91]
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Guoxin Xiong, Meng Meng, Tianzhu Zhang, Dongming Zhang, Yongdong Zhang:
Reference-Aware Adaptive Network for Image-Text Matching. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9678-9691 (2024)
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Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang:
Robust and Generalized Physical Adversarial Attacks via Meta-GAN. IEEE Trans. Inf. Forensics Secur. 19: 1112-1125 (2024)
[j89]
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Nanqing Xu, Weiwei Feng, Tianzhu Zhang, Yongdong Zhang:
A Unified Optimization Framework for Feature-Based Transferable Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4794-4808 (2024)
[j88]
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Jianfeng He, Tianzhu Zhang, Zhe Zhang, Tianyi Yu, Yongdong Zhang:
Efficient Dynamic Correspondence Network. IEEE Trans. Image Process. 33: 228-240 (2024)
[j87]
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Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
EI-MVSNet: Epipolar-Guided Multi-View Stereo Network With Interval-Aware Label. IEEE Trans. Image Process. 33: 753-766 (2024)
[j86]
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Zhangxiang Shi, Tianzhu Zhang, Xi Wei, Feng Wu, Yongdong Zhang:
Decoupled Cross-Modal Phrase-Attention Network for Image-Sentence Matching. IEEE Trans. Image Process. 33: 1326-1337 (2024)
[j85]
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Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu:
Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning. IEEE Trans. Image Process. 33: 1938-1951 (2024)
[j84]
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Huanlong Zhang, Jingchao Wang, Jianwei Zhang, Tianzhu Zhang, Bineng Zhong:
One-Stream Vision-Language Memory Network for Object Tracking. IEEE Trans. Multim. 26: 1720-1730 (2024)
[j83]
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Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5656-5670 (2024)
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Wen Guo, Wuzhou Quan, Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Feature Disentanglement Network: Multi-Object Tracking Needs More Differentiated Features. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 83:1-83:22 (2024)
[c127]
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Naisong Luo, Rui Sun, Yuwen Pan, Tianzhu Zhang, Feng Wu:
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation. AAAI 2024: 3981-3989
[c126]
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Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang:
Unifying Visual and Vision-Language Tracking via Contrastive Learning. AAAI 2024: 4107-4116
[c125]
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Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu:
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation. AAAI 2024: 4162-4170
[c124]
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Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong Zhang:
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning. AAAI 2024: 6012-6020
[c123]
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  - conf/cvpr/GaoZLDZ24
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Yuan Gao, Yuqing Zhu, Xinjun Li, Yimin Du, Tianzhu Zhang:
SD2Event: Self-Supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras. CVPR 2024: 3055-3064
[c122]
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Huayu Mai, Rui Sun, Tianzhu Zhang, Feng Wu:
RankMatch: Exploring the Better Consistency Regularization for Semi-Supervised Semantic Segmentation. CVPR 2024: 3391-3401
[c121]
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Yuan Wang, Rui Sun, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation. CVPR 2024: 3952-3963
[c120]
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Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Unsupervised Template-assisted Point Cloud Shape Correspondence Network. CVPR 2024: 5250-5259
[c119]
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Jiahao Lu, Jiacheng Deng, Tianzhu Zhang:
BSNet: Box-Supervised Simulation-Assisted Mean Teacher for 3D Instance Segmentation. CVPR 2024: 20374-20384
[c118]
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Xiao Lin, Wenfei Yang, Yuan Gao, Tianzhu Zhang:
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation. CVPR 2024: 21040-21049
[c117]
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  - conf/eccv/LiWLSZ24
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Zhaoyang Li, Yuan Wang, Wangkai Li, Rui Sun, Tianzhu Zhang:
Localization and Expansion: A Decoupled Framework for Point Cloud Few-Shot Semantic Segmentation. ECCV (73) 2024: 18-34
[c116]
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Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang:
Free Lunch for Gait Recognition: A Novel Relation Descriptor. ECCV (38) 2024: 39-56
[c115]
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Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR: Agent-Based Diffusion Model for Semi-supervised 3D Object Detection. ECCV (34) 2024: 57-73
[c114]
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Yuwen Pan, Rui Sun, Naisong Luo, Tianzhu Zhang, Yongdong Zhang:
Exploring Reliable Matching with Phase Enhancement for Night-Time Semantic Segmentation. ECCV (53) 2024: 408-424
[c113]
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  - conf/igarss/ZhangZDWLZ24
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Huiqiang Zhang, Tianzhu Zhang, Jie Deng, Wei Wang, Shengqi Liu, Jun Zhang:
MHRA-Net: Azimuth-Aware Multi-Head Residual Self-Attention Network for SAR Vehicle Recognition. IGARSS 2024: 9130-9133
[c112]
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Yue Guo, Tianzhu Zhang, Shiqi Chen, Ronghui Zhan, Luzhuo Li, Jun Zhang:
YO-DETR: A Lightweight End-to-End SAR Ship Detector Using Decoder Head without NMS. IGARSS 2024: 9408-9411
[c111]
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Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang:
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. IJCAI 2024: 1480-1488
[c110]
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  - conf/infocom/LiuZL24
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Qiong Liu, Tianzhu Zhang, Leonardo Linguaglossa:
Non-invasive performance prediction of high-speed softwarized network services with limited knowledge. INFOCOM 2024: 2328-2337
[c109]
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Yuwen Pan, Rui Sun, Yuan Wang, Tianzhu Zhang, Yongdong Zhang:
Rethinking the Implicit Optimization Paradigm with Dual Alignments for Referring Remote Sensing Image Segmentation. ACM Multimedia 2024: 2031-2040
[c108]
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Qiong Liu, Tianzhu Zhang, Walter Cerroni, Leonardo Linguaglossa:
Proactive VNF Redeployment and Traffic Routing for modern telco networks. NetSoft 2024: 91-99
[i48]
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  - journals/corr/abs-2401-01839
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Yulin Li, Tianzhu Zhang, Yongdong Zhang:
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification. CoRR abs/2401.01839 (2024)
[i47]
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  - journals/corr/abs-2401-11228
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Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang:
Unifying Visual and Vision-Language Tracking via Contrastive Learning. CoRR abs/2401.11228 (2024)
[i46]
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  - journals/corr/abs-2402-02797
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Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu:
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects. CoRR abs/2402.02797 (2024)
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  - journals/corr/abs-2403-00219
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Xin Liu, Jiamin Wu, Tianzhu Zhang:
Multi-modal Attribute Prompting for Vision-Language Models. CoRR abs/2403.00219 (2024)
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  - journals/corr/abs-2403-04283
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Yu Zhu, Chuxiong Sun, Wenfei Yang, Wenqiang Wei, Bo Tang, Tianzhu Zhang, Zhiyu Li, Shifeng Zhang, Feiyu Xiong, Jie Hu, Mingchuan Yang:
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy. CoRR abs/2403.04283 (2024)
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  - journals/corr/abs-2403-15019
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Jiahao Lu, Jiacheng Deng, Tianzhu Zhang:
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation. CoRR abs/2403.15019 (2024)
[i42]
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  - journals/corr/abs-2403-16412
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Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Unsupervised Template-assisted Point Cloud Shape Correspondence Network. CoRR abs/2403.16412 (2024)
[i41]
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  - journals/corr/abs-2403-19527
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Xiao Lin, Wenfei Yang, Yuan Gao, Tianzhu Zhang:
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation. CoRR abs/2403.19527 (2024)
[i40]
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  - journals/corr/abs-2404-00262
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Yuan Wang, Rui Sun, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation. CoRR abs/2404.00262 (2024)
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  - journals/corr/abs-2406-17442
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Zhuoyuan Li, Yubo Ai, Jiahao Lu, Chuxin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang:
Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model. CoRR abs/2406.17442 (2024)
[i38]
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  - journals/corr/abs-2407-08187
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Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang:
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation. CoRR abs/2407.08187 (2024)
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Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection. CoRR abs/2408.00286 (2024)
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  - journals/corr/abs-2408-13752
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Zhaoyang Li, Yuan Wang, Wangkai Li, Rui Sun, Tianzhu Zhang:
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation. CoRR abs/2408.13752 (2024)
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Yuwen Pan, Rui Sun, Naisong Luo, Tianzhu Zhang, Yongdong Zhang:
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation. CoRR abs/2408.13838 (2024)
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  - journals/corr/abs-2409-02494
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Li Liu, Ruijie Zhu, Jiacheng Deng, Ziyang Song, Wenfei Yang, Tianzhu Zhang:
Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation. CoRR abs/2409.02494 (2024)
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  - journals/corr/abs-2410-05735
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Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang:
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality. CoRR abs/2410.05735 (2024)
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  - journals/corr/abs-2410-07707
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Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting. CoRR abs/2410.07707 (2024)
[i31]
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Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou:
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering. CoRR abs/2410.13607 (2024)
[i30]
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  - journals/corr/abs-2410-15392
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Bohao Liao, Wei Zhai, Zengyu Wan, Tianzhu Zhang, Yang Cao, Zheng-Jun Zha:
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting. CoRR abs/2410.15392 (2024)
2023
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Han Qiu, Tianwei Zhang, Tianzhu Zhang, Hongyu Li, Meikang Qiu:
DefQ: Defensive Quantization Against Inference Slow-Down Attack for Edge Computing. IEEE Internet Things J. 10(4): 3243-3251 (2023)
[j80]
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Yi Peng, Yi Zhao, Ningxiong Mao, Junxiang Wang, Yixiang Fang, Tianzhu Zhang, Fengyun Shi:
Color image reversible data hiding based on multi-channel synchronized histogram. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101804 (2023)
[j79]
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Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised and Unsupervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5252-5267 (2023)
[j78]
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Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Task-Aware Weakly Supervised Object Localization With Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9109-9121 (2023)
[j77]
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Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang, Feng Wu:
Adaptive Part Mining for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11443-11457 (2023)
[j76]
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Yuan Gao, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Dynamic Keypoint Detection Network for Image Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14404-14419 (2023)
[j75]
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Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7616-7629 (2023)
[j74]
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Jianfeng He, Jiacheng Deng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Hierarchical Shape-Consistent Transformer for Unsupervised Point Cloud Shape Correspondence. IEEE Trans. Image Process. 32: 2734-2748 (2023)
[j73]
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Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese:
System Log Parsing: A Survey. IEEE Trans. Knowl. Data Eng. 35(8): 8596-8614 (2023)
[c107]
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Huan Ren, Han Jiang, Wang Luo, Meng Meng, Tianzhu Zhang:
Entropy-guided Open-set Fine-grained Fungi Recognition. CLEF (Working Notes) 2023: 2122-2136
[c106]
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Huan Ren, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization. CVPR 2023: 2394-2404
[c105]
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Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu:
D²Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers. CVPR 2023: 2904-2914
[c104]
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Qianjin Yu, Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang:
A Unified Transformer-based Tracker for Anti-UAV Tracking. CVPR Workshops 2023: 3036-3046
[c103]
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Jiacheng Deng, Chuxin Wang, Jiahao Lu, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Zhe Zhang:
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence. CVPR 2023: 5364-5373
[c102]
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Jiahao Chang, Jiahuan Yu, Tianzhu Zhang:
Structured Epipolar Matcher for Local Feature Matching. CVPR Workshops 2023: 6177-6186
[c101]
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Yuan Wang, Rui Sun, Tianzhu Zhang:
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View. CVPR 2023: 7183-7192
[c100]
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Tianyu Chang, Xun Yang, Tianzhu Zhang, Meng Wang:
Domain Generalized Stereo Matching via Hierarchical Visual Transformation. CVPR 2023: 9559-9568
[c99]
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Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Yongdong Zhang:
Dynamic Generative Targeted Attacks with Pattern Injection. CVPR 2023: 16404-16414
[c98]
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Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Camouflaged Instance Segmentation via Explicit De-Camouflaging. CVPR 2023: 17918-17927
[c97]
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Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
DualRel: Semi-Supervised Mitochondria Segmentation from A Prototype Perspective. CVPR 2023: 19617-19626
[c96]
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Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CVPR 2023: 21898-21908
[c95]
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  - conf/iccv/SunWMZW23
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Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu:
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation. ICCV 2023: 1218-1228
[c94]
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Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. ICCV 2023: 3791-3801
[c93]
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Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang:
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking. ICCV 2023: 10083-10093
[c92]
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Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang:
Query Refinement Transformer for 3D Instance Segmentation. ICCV 2023: 18470-18480
[c91]
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Yuwen Pan, Naisong Luo, Rui Sun, Meng Meng, Tianzhu Zhang, Zhiwei Xiong, Yongdong Zhang:
Adaptive Template Transformer for Mitochondria Segmentation in Electron Microscopy Images. ICCV 2023: 21417-21427
[c90]
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Xi Wei, Zhangxiang Shi, Tianzhu Zhang, Xiaoyuan Yu, Lei Xiao:
Multimodal High-order Relation Transformer for Scene Boundary Detection. ICCV 2023: 22024-22033
[c89]
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Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou:
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 2023: 1113-1120
[c88]
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Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810
[c87]
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Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Appearance Prompt Vision Transformer for Connectome Reconstruction. IJCAI 2023: 1423-1431
[c86]
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Zhaoyang Li, Wangkai Li, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong:
Enhancing Cell Detection in Histopathology Images: A ViT-Based U-Net Approach. GRAIL/OCELOT@MICCAI 2023: 150-160
[c85]
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Rui Sun, Huayu Mai, Naisong Luo, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation. MICCAI (4) 2023: 523-533
[c84]
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Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu:
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation. NeurIPS 2023
[c83]
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Yuan Wang, Naisong Luo, Tianzhu Zhang:
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation. NeurIPS 2023
[i29]
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  - journals/corr/abs-2303-04073
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Tianzhu Zhang, Masoud Hemmatpour, Shashwat Mishra, Leonardo Linguaglossa, Dong Zhang, Chung Shue Chen, Marco Mellia, Armen Aghasaryan:
Operationalizing AI in Future Networks: A Bird's Eye View from the System Perspective. CoRR abs/2303.04073 (2023)
[i28]
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  - journals/corr/abs-2303-16624
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Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CoRR abs/2303.16624 (2023)
[i27]
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  - journals/corr/abs-2303-16646
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Jiahao Chang, Jiahuan Yu, Tianzhu Zhang:
Structured Epipolar Matcher for Local Feature Matching. CoRR abs/2303.16646 (2023)
[i26]
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  - journals/corr/abs-2304-05395
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Jiacheng Deng, Chuxin Wang, Jiahao Lu, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Zhe Zhang:
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence. CoRR abs/2304.05395 (2023)
[i25]
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  - journals/corr/abs-2305-17861
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Huan Ren, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization. CoRR abs/2305.17861 (2023)
[i24]
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  - journals/corr/abs-2307-15061
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Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023)
[i23]
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  - journals/corr/abs-2310-08044
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Ruijie Zhu, Ziyang Song, Chuxin Wang, Jianfeng He, Tianzhu Zhang:
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes. CoRR abs/2310.08044 (2023)
[i22]
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  - journals/corr/abs-2310-15624
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Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Tong He, Yonghui Li, Wanli Ouyang:
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection. CoRR abs/2310.15624 (2023)
[i21]
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  - journals/corr/abs-2311-17626
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Yuan Wang, Naisong Luo, Tianzhu Zhang:
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation. CoRR abs/2311.17626 (2023)
[i20]
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  - journals/corr/abs-2312-09527
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Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang:
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. CoRR abs/2312.09527 (2023)
[i19]
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Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. CoRR abs/2312.10390 (2023)
2022
[j72]
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Tianzhu Zhang, Han Qiu, Marco Mellia, Yuanjie Li, Hewu Li, Ke Xu:
Interpreting AI for Networking: Where We Are and Where We Are Going. IEEE Commun. Mag. 60(2): 25-31 (2022)
[j71]
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Yuan Cao, Guangming Shi, Weisheng Dong, Tianzhu Zhang, Jinjian Wu, Xuemei Xie, Xin Li:
Correlation filters based on spatial-temporal Gaussion scale mixture modelling for visual tracking. Neurocomputing 492: 76-90 (2022)
[j70]
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Xuejing Guo, Yixiang Fang, Junxiang Wang, Wenchao Zeng, Yi Zhao, Tianzhu Zhang, Yun-Qing Shi:
A Domain-independent Dual-image based Robust Reversible Watermarking. KSII Trans. Internet Inf. Syst. 16(12): 4024-4041 (2022)
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Zikun Zhou, Xin Li, Tianzhu Zhang, Hongpeng Wang, Zhenyu He:
Object Tracking via Spatial-Temporal Memory Network. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2976-2989 (2022)
[j68]
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Yuan Cao, Guangming Shi, Tianzhu Zhang, Weisheng Dong, Jinjian Wu, Xuemei Xie, Xin Li:
Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3085-3098 (2022)
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Huanlong Zhang, Liyun Cheng, Tianzhu Zhang, Yanfeng Wang, Wen-Jun Zhang, Jie Zhang:
Target-Distractor Aware Deep Tracking With Discriminative Enhancement Learning Loss. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6267-6278 (2022)
[j66]
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Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image. IEEE Trans. Cybern. 52(11): 11407-11417 (2022)
[j65]
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Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu:
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects. IEEE Trans. Instrum. Meas. 71: 1-12 (2022)
[j64]
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Meng Meng, Tianzhu Zhang, Wenfei Yang, Jian Zhao, Yongdong Zhang, Feng Wu:
Diverse Complementary Part Mining for Weakly Supervised Object Localization. IEEE Trans. Image Process. 31: 1774-1788 (2022)
[j63]
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Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Adversarial Transformers for Weakly Supervised Object Localization. IEEE Trans. Image Process. 31: 7130-7143 (2022)
[j62]
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Yulin Li, Tianzhu Zhang, Xiang Liu, Qi Tian, Yongdong Zhang, Feng Wu:
Visible-Infrared Person Re-Identification With Modality-Specific Memory Network. IEEE Trans. Image Process. 31: 7165-7178 (2022)
[j61]
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Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, An-An Liu, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Focal Attention for Multimodal Learning. IEEE Trans. Multim. 24: 103-115 (2022)
[c82]
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Ji-Yang Yu, Dan Huang, Lu-yuan Wang, Miaomiao Tian, Tianzhu Zhang:
Implementation of Parallel Acceleration for Real-time Extraction of Visual Features. AIAM 2022: 154-160
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Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang:
A Keypoint-based Global Association Network for Lane Detection. CVPR 2022: 1382-1391
[c80]
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Jiamin Wu, Tianzhu Zhang, Zhe Zhang, Feng Wu, Yongdong Zhang:
Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition. CVPR 2022: 9141-9150
[c79]
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Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang:
Adaptive Agent Transformer for Few-Shot Segmentation. ECCV (29) 2022: 36-52
[c78]
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Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460
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Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu:
Cross-Modality Transformer for Visible-Infrared Person Re-Identification. ECCV (14) 2022: 480-496
[c76]
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Zhengyan Zhou, Jingwen Lv, Lingfei Cheng, Xiang Chen, Tianzhu Zhang, Qun Huang, Jiayu Luo, Longlong Zhu, Dong Zhang, Chunming Wu:
SketchGuide: Reconfiguring Sketch-based Measurement on Programmable Switches. ICNP 2022: 1-11
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Fuyu Feng, Tianzhu Zhang, Rui Sun, Jianfeng He, Zhiwei Xiong, Feng Wu:
Electron Microscopy Image Registration with Transformers. ICONIP (3) 2022: 14-25
[c74]
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Wangkai Li, Zhaoyang Li, Rui Sun, Huayu Mai, Naisong Luo, Yuan Wang, Yuwen Pan, Guoxin Xiong, Huakai Lai, Zhiwei Xiong, Tianzhu Zhang:
MAUNet: Modality-Aware Anti-Ambiguity U-Net for Multi-Modality Cell Segmentation. Cell Segmentation Challenge @ NeurIPS 2022: 1-12
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Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang:
A Keypoint-based Global Association Network for Lane Detection. CoRR abs/2204.07335 (2022)
[i17]
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Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese:
System Log Parsing: A Survey. CoRR abs/2212.14277 (2022)
2021
[j60]
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Tianzhu Zhang, Leonardo Linguaglossa, Paolo Giaccone, Luigi Iannone, James Roberts:
Performance benchmarking of state-of-the-art software switches for NFV. Comput. Networks 188: 107861 (2021)
[j59]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Learning to Model Relationships for Zero-Shot Video Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3476-3491 (2021)
[j58]
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Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding. IEEE Trans. Image Process. 30: 3252-3262 (2021)
[j57]
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Jianfeng He, Tianzhu Zhang, Yuhui Zheng, Mingliang Xu, Yongdong Zhang, Feng Wu:
Consistency Graph Modeling for Semantic Correspondence. IEEE Trans. Image Process. 30: 4932-4946 (2021)
[j56]
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Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian, Feng Wu:
Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection. IEEE Trans. Image Process. 30: 5848-5861 (2021)
[j55]
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Xiaoheng Jiang, Li Zhang, Tianzhu Zhang, Pei Lv, Bing Zhou, Yanwei Pang, Mingliang Xu, Changsheng Xu:
Density-Aware Multi-Task Learning for Crowd Counting. IEEE Trans. Multim. 23: 443-453 (2021)
[j54]
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Tianzhu Zhang, Han Qiu, Leonardo Linguaglossa, Walter Cerroni, Paolo Giaccone:
NFV Platforms: Taxonomy, Design Choices and Future Challenges. IEEE Trans. Netw. Serv. Manag. 18(1): 30-48 (2021)
[j53]
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Yaoyu Li, Hantao Yao, Tianzhu Zhang, Changsheng Xu:
Part-based Structured Representation Learning for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 134:1-134:22 (2021)
[c73]
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Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Qi Tian, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection. CVPR 2021: 53-63
[c72]
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Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu:
Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer. CVPR 2021: 2898-2907
[c71]
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Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang:
Action Unit Memory Network for Weakly Supervised Temporal Action Localization. CVPR 2021: 9969-9979
[c70]
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Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang:
Lesion-Aware Transformers for Diabetic Retinopathy Grading. CVPR 2021: 10938-10947
[c69]
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Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang:
Geometry Uncertainty Projection Network for Monocular 3D Object Detection. ICCV 2021: 3091-3101
[c68]
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Meng Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, Feng Wu:
Foreground Activation Maps for Weakly Supervised Object Localization. ICCV 2021: 3365-3375
[c67]
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Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang:
Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. ICCV 2021: 7767-7776
[c66]
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Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Task-aware Part Mining Network for Few-Shot Learning. ICCV 2021: 8413-8422
[c65]
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Charles Shelbourne, Leonardo Linguaglossa, Tianzhu Zhang, Aldo Lipani:
Inference of virtual network functions' state via analysis of the CPU behavior. ITC 2021: 1-9
[i16]
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Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang:
Action Unit Memory Network for Weakly Supervised Temporal Action Localization. CoRR abs/2104.14135 (2021)
[i15]
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Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu:
Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer. CoRR abs/2106.04095 (2021)
[i14]
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Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang:
Geometry Uncertainty Projection Network for Monocular 3D Object Detection. CoRR abs/2107.13774 (2021)
[i13]
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Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. CoRR abs/2111.11625 (2021)
2020
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Fan Qi, Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Discriminative multimodal embedding for event classification. Neurocomputing 395: 160-169 (2020)
[j51]
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Guan'an Wang, Yang Yang, Tianzhu Zhang, Jian Cheng, Zengguang Hou, Prayag Tiwari, Hari Mohan Pandey:
Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification. Neural Networks 128: 294-304 (2020)
[j50]
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Hongliang Li, Lu Fang, Tianzhu Zhang:
Guest Editorial Introduction to the Special Section on Intelligent Visual Content Analysis and Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4405-4408 (2020)
[j49]
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Zhetao Li, Wei Wei, Tianzhu Zhang, Meng Wang, Sujuan Hou, Xin Peng:
Online Multi-Expert Learning for Visual Tracking. IEEE Trans. Image Process. 29: 934-946 (2020)
[j48]
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Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Geometry Guided Pose-Invariant Facial Expression Recognition. IEEE Trans. Image Process. 29: 4445-4460 (2020)
[j47]
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Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
A Unified Deep Model for Joint Facial Expression Recognition, Face Synthesis, and Face Alignment. IEEE Trans. Image Process. 29: 6574-6589 (2020)
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Kongzhu Jiang, Tianzhu Zhang, Yongdong Zhang, Feng Wu, Yong Rui:
Self-Supervised Agent Learning for Unsupervised Cross-Domain Person Re-Identification. IEEE Trans. Image Process. 29: 8549-8560 (2020)
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Xinhong Ma, Tianzhu Zhang, Changsheng Xu:
Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Multim. 22(12): 3101-3114 (2020)
[c64]
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Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zeng-Guang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. AAAI 2020: 12144-12151
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Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang:
Attention Scaling for Crowd Counting. CVPR 2020: 4705-4714
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Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. CVPR 2020: 10918-10927
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Xi Wei, Tianzhu Zhang, Yan Li, Yongdong Zhang, Feng Wu:
Multi-Modality Cross Attention Network for Image and Sentence Matching. CVPR 2020: 10938-10947
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Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu:
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning. CVPR 2020: 12764-12773
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Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu:
Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer. CVPR 2020: 13376-13386
[c58]
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Yangchun Zhu, Zheng-Jun Zha, Tianzhu Zhang, Jiawei Liu, Jiebo Luo:
A Structured Graph Attention Network for Vehicle Re-Identification. ACM Multimedia 2020: 646-654
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  - journals/corr/abs-2002-04114
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Guan'an Wang, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, Zengguang Hou:
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. CoRR abs/2002.04114 (2020)
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  - journals/corr/abs-2002-11059
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Tianzhu Zhang:
Design of NFV Platforms: A Survey. CoRR abs/2002.11059 (2020)
[i10]
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  - journals/corr/abs-2002-12489
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Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu:
Cross-modality Person re-identification with Shared-Specific Feature Transfer. CoRR abs/2002.12489 (2020)
[i9]
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Tianzhu Zhang, Leonardo Linguaglossa, Paolo Giaccone, Luigi Iannone, James Roberts:
Performance Benchmarking of State-of-the-Art Software Switches for NFV. CoRR abs/2003.13489 (2020)
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  - journals/corr/abs-2004-00277
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Chunxiao Liu, Zhendong Mao, Tianzhu Zhang, Hongtao Xie, Bin Wang, Yongdong Zhang:
Graph Structured Network for Image-Text Matching. CoRR abs/2004.00277 (2020)
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Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image. CoRR abs/2008.00610 (2020)

2010 – 2019

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2019
[j44]
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Yifan Jiao, Tianzhu Zhang, Shucheng Huang, Bin Liu, Changsheng Xu:
Video Highlight Detection via Region-Based Deep Ranking Model. Int. J. Pattern Recognit. Artif. Intell. 33(7): 1940001:1-1940001:14 (2019)
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Tianzhu Zhang, Chengming Zou:
使用模糊聚类的胶囊网络在图像分类上的研究 (Study on Image Classification of Capsule Network Using Fuzzy Clustering). 计算机科学 46(12): 279-285 (2019)
[j42]
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Feng Xue, Jianwei Wang, Shengsheng Qian, Tianzhu Zhang, Xueliang Liu, Changsheng Xu:
Multi-modal max-margin supervised topic model for social event analysis. Multim. Tools Appl. 78(1): 141-160 (2019)
[j41]
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Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Learning Multi-Task Correlation Particle Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 365-378 (2019)
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Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Robust Structural Sparse Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 473-486 (2019)
[j39]
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Tianzhu Zhang, Carla-Fabiana Chiasserini, Paolo Giaccone:
TAME: An Efficient Task Allocation Algorithm for Integrated Mobile Gaming. IEEE Syst. J. 13(2): 1546-1557 (2019)
[j38]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
SMART: Joint Sampling and Regression for Visual Tracking. IEEE Trans. Image Process. 28(8): 3923-3935 (2019)
[j37]
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Xinhong Ma, Tianzhu Zhang, Changsheng Xu:
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation. IEEE Trans. Multim. 21(9): 2419-2431 (2019)
[j36]
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Tianzhu Zhang, Leonardo Linguaglossa, Massimo Gallo, Paolo Giaccone, Dario Rossi:
FloWatcher-DPDK: Lightweight Line-Rate Flow-Level Monitoring in Software. IEEE Trans. Netw. Serv. Manag. 16(3): 1143-1156 (2019)
[c57]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs. AAAI 2019: 8303-8311
[c56]
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  - conf/conext/ShelbourneLLZG19
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Charles Shelbourne, Leonardo Linguaglossa, Aldo Lipani, Tianzhu Zhang, Fabien Geyer:
On the Learnability of Software Router Performance via CPU Measurements. CoNEXT Companion 2019: 23-25
[c55]
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Tianzhu Zhang, Leonardo Linguaglossa, Massimo Gallo, Paolo Giaccone, Luigi Iannone, James Roberts:
Comparing the performance of state-of-the-art software switches for NFV. CoNEXT 2019: 68-81
[c54]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Graph Convolutional Tracking. CVPR 2019: 4649-4659
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Xinhong Ma, Tianzhu Zhang, Changsheng Xu:
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation. CVPR 2019: 8266-8276
[c52]
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Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. ICCV 2019: 3622-3631
[c51]
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Tingting Xie, Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Ioannis Patras:
Exploring Feature Representation and Training Strategies in Temporal Action Localization. ICIP 2019: 1605-1609
[c50]
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Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019: 3663-3669
[c49]
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Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching. ACM Multimedia 2019: 3-11
[c48]
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Tianzhu Zhang, Leonardo Linguaglossa, James Roberts, Luigi Iannone, Massimo Gallo, Paolo Giaccone:
A benchmarking methodology for evaluating software switch performance for NFV. NetSoft 2019: 251-253
[i6]
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Tingting Xie, Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Ioannis Patras:
Exploring Feature Representation and Training strategies in Temporal Action Localization. CoRR abs/1905.10608 (2019)
[i5]
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Chunxiao Liu, Zhendong Mao, An-An Liu, Tianzhu Zhang, Bin Wang, Yongdong Zhang:
Focus Your Attention: A Bidirectional Focal Attention Network for Image-Text Matching. CoRR abs/1909.11416 (2019)
[i4]
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  - journals/corr/abs-1910-05839
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Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zengguang Hou:
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment. CoRR abs/1910.05839 (2019)
2018
[j35]
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Wei Wang, Chunping Wang, Si Liu, Tianzhu Zhang, Xiaochun Cao:
Robust Target Tracking by Online Random Forests and Superpixels. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1609-1622 (2018)
[j34]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Bin Liu, Ming-Hsuan Yang:
Correlation Particle Filter for Visual Tracking. IEEE Trans. Image Process. 27(6): 2676-2687 (2018)
[j33]
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Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu:
P2T: Part-to-Target Tracking via Deep Regression Learning. IEEE Trans. Image Process. 27(6): 3074-3086 (2018)
[j32]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
Cross-Domain Collaborative Learning via Discriminative Nonparametric Bayesian Model. IEEE Trans. Multim. 20(8): 2086-2099 (2018)
[j31]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Deep-Structured Event Modeling for User-Generated Photos. IEEE Trans. Multim. 20(8): 2100-2113 (2018)
[j30]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Text2Video: An End-to-end Learning Framework for Expressing Text With Videos. IEEE Trans. Multim. 20(9): 2360-2370 (2018)
[j29]
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Yifan Jiao, Zhetao Li, Shucheng Huang, Xiaoshan Yang, Bin Liu, Tianzhu Zhang:
Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection. IEEE Trans. Multim. 20(10): 2693-2705 (2018)
[j28]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
Online Multimodal Multiexpert Learning for Social Event Tracking. IEEE Trans. Multim. 20(10): 2733-2748 (2018)
[c47]
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Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu:
Joint Pose and Expression Modeling for Facial Expression Recognition. CVPR 2018: 3359-3368
[c46]
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  - conf/eccv/KristanLMFPZVBL18
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53
[c45]
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Jie Fu, Shucheng Huang, Tianzhu Zhang, Changsheng Xu:
Learning semantic topics for domain-adapted textual knowledge transfer. ICIMCS 2018: 31:1-31:5
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Feifei Zhang, Tianzhu Zhang, Qirong Mao, Lingyu Duan, Changsheng Xu:
Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach. ACM Multimedia 2018: 126-135
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Yaoyu Li, Tianzhu Zhang, Lingyu Duan, Changsheng Xu:
A Unified Generative Adversarial Framework for Image Generation and Person Re-identification. ACM Multimedia 2018: 163-172
[c42]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Watch, Think and Attend: End-to-End Video Classification via Dynamic Knowledge Evolution Modeling. ACM Multimedia 2018: 690-699
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Tianzhu Zhang, Leonardo Linguaglossa, Massimo Gallo, Paolo Giaccone, Dario Rossi:
High-speed per-flow software monitoring with limited resources. SIGCOMM Posters and Demos 2018: 138-140
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Tianzhu Zhang, Leonardo Linguaglossa, Massimo Gallo, Paolo Giaccone, Dario Rossi:
FlowMon-DPDK: Parsimonious Per-Flow Software Monitoring at Line Rate. TMA 2018: 1-8
[i3]
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Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo:
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking. CoRR abs/1811.10014 (2018)
2017
[j27]
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Tianzhu Zhang, Paolo Giaccone, Andrea Bianco, Samuele De Domenico:
The role of the inter-controller consensus in the placement of distributed SDN controllers. Comput. Commun. 113: 1-13 (2017)
[j26]
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Yehui Yang, Wenrui Hu, Wensheng Zhang, Tianzhu Zhang, Yuan Xie:
Discriminative Reverse Sparse Tracking via Weighted Multitask Learning. IEEE Trans. Circuits Syst. Video Technol. 27(5): 1031-1042 (2017)
[j25]
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Yehui Yang, Wenrui Hu, Yuan Xie, Wensheng Zhang, Tianzhu Zhang:
Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning. IEEE Trans. Cybern. 47(2): 485-498 (2017)
[j24]
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Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu:
Deep Relative Tracking. IEEE Trans. Image Process. 26(4): 1845-1858 (2017)
[c39]
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Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Multi-task Correlation Particle Filter for Robust Object Tracking. CVPR 2017: 4819-4827
[c38]
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Tianzhu Zhang, Andrea Bianco, Paolo Giaccone, Aliakbar Payandehdari Nezhad:
Dealing with Misbehaving Controllers in SDN Networks. GLOBECOM 2017: 1-6
[c37]
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Andrea Bianco, Paolo Giaccone, Seyedaidin Kelki, Nicolas Mejia Campos, Stefano Traverso, Tianzhu Zhang:
On-the-fly traffic classification and control with a stateful SDN approach. ICC 2017: 1-6
[c36]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
A Generic Framework for Social Event Analysis. ICMR 2017: 480-483
[c34]
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Junyu Gao, Tianzhu Zhang, Changsheng Xu:
A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks. ACM Multimedia 2017: 127-135
[c33]
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Yifan Jiao, Xiaoshan Yang, Tianzhu Zhang, Shucheng Huang, Changsheng Xu:
Video Highlight Detection via Deep Ranking Modeling. PSIVT 2017: 28-39
2016
[j23]
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Xue Mei, Tianzhu Zhang, Huchuan Lu, Ming-Hsuan Yang, Kyoung Mu Lee, Horst Bischof:
Special Issue on Visual Tracking. Comput. Vis. Image Underst. 153: 1-2 (2016)
[j22]
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Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. Int. J. Comput. Vis. 117(2): 173-197 (2016)
[j21]
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Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja:
Robust Visual Tracking via Exclusive Context Modeling. IEEE Trans. Cybern. 46(1): 51-63 (2016)
[j20]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu, Jie Shao:
Multi-Modal Event Topic Model for Social Event Analysis. IEEE Trans. Multim. 18(2): 233-246 (2016)
[j19]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Shuicheng Yan, M. Shamim Hossain, Ahmed Ghoneim:
Deep Relative Attributes. IEEE Trans. Multim. 18(9): 1832-1842 (2016)
[j18]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Semantic Feature Mining for Video Event Understanding. ACM Trans. Multim. Comput. Commun. Appl. 12(4): 55:1-55:22 (2016)
[c32]
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Adel Bibi, Tianzhu Zhang, Bernard Ghanem:
3D Part-Based Sparse Tracker with Automatic Synchronization and Registration. CVPR 2016: 1439-1448
[c31]
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Tianzhu Zhang, Adel Bibi, Bernard Ghanem:
In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR 2016: 3880-3888
[c30]
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Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu:
Structural Correlation Filter for Robust Visual Tracking. CVPR 2016: 4312-4320
[c29]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823
[c28]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
Multi-modal Multi-view Topic-opinion Mining for Social Event Analysis. ACM Multimedia 2016: 2-11
[c27]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Abnormal Event Discovery in User Generated Photos. ACM Multimedia 2016: 47-51
[c26]
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Tianzhu Zhang, Andrea Bianco, Paolo Giaccone:
The role of inter-controller traffic in SDN controllers placement. NFV-SDN 2016: 87-92
[i2]
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Andrea Bianco, Paolo Giaccone, Samuele De Domenico, Tianzhu Zhang:
The Role of Inter-Controller Traffic for Placement of Distributed SDN Controllers. CoRR abs/1605.09268 (2016)
2015
[j17]
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Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem:
Robust Visual Tracking Via Consistent Low-Rank Sparse Learning. Int. J. Comput. Vis. 111(2): 171-190 (2015)
[j16]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
A new discriminative coding method for image classification. Multim. Syst. 21(2): 133-145 (2015)
[j15]
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Long Ying, Tianzhu Zhang, Changsheng Xu:
Multi-object tracking via MHT with multiple information fusion in surveillance video. Multim. Syst. 21(3): 313-326 (2015)
[j14]
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Chao Sun, Tianzhu Zhang, Changsheng Xu:
Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect. ACM Trans. Intell. Syst. Technol. 6(2): 20:1-20:20 (2015)
[j13]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Cross-Domain Feature Learning in Multimedia. IEEE Trans. Multim. 17(1): 64-78 (2015)
[j12]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, M. Shamim Hossain:
Automatic Visual Concept Learning for Social Event Understanding. IEEE Trans. Multim. 17(3): 346-358 (2015)
[j11]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Boosted Multifeature Learning for Cross-Domain Transfer. ACM Trans. Multim. Comput. Commun. Appl. 11(3): 35:1-35:18 (2015)
[c25]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang:
Structural Sparse Tracking. CVPR 2015: 150-158
[c24]
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Shengsheng Qian, Tianzhu Zhang, Richang Hong, Changsheng Xu:
Cross-Domain Collaborative Learning in Social Multimedia. ACM Multimedia 2015: 99-108
2014
[j10]
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Tianzhu Zhang, Changsheng Xu:
Cross-Domain Multi-Event Tracking via CO-PMHT. ACM Trans. Multim. Comput. Commun. Appl. 10(4): 31:1-31:19 (2014)
[j9]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu, M. Shamim Hossain:
Social Event Classification via Boosted Multimodal Supervised Latent Dirichlet Allocation. ACM Trans. Multim. Comput. Commun. Appl. 11(2): 27:1-27:22 (2014)
[c23]
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Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja:
Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR 2014: 1258-1265
[c22]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media. ICIMCS 2014: 152
[c21]
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Shengsheng Qian, Tianzhu Zhang, Changsheng Xu:
Boosted Multi-modal Supervised Latent Dirichlet Allocation for Social Event Classification. ICPR 2014: 1999-2004
[i1]
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Kui Jia, Tsung-Han Chan, Zinan Zeng, Gang Wang, Tianzhu Zhang, Yi Ma:
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. CoRR abs/1403.7877 (2014)
2013
[j8]
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Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja:
Robust Visual Tracking via Structured Multi-Task Sparse Learning. Int. J. Comput. Vis. 101(2): 367-383 (2013)
[j7]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Hanqing Lu:
M⁴L: Maximum margin Multi-instance Multi-cluster Learning for scene modeling. Pattern Recognit. 46(10): 2711-2723 (2013)
[j6]
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Chao Sun, Tianzhu Zhang, Bing-Kun Bao, Changsheng Xu, Tao Mei:
Discriminative Exemplar Coding for Sign Language Recognition With Kinect. IEEE Trans. Cybern. 43(5): 1418-1428 (2013)
[j5]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Hanqing Lu:
Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes. IEEE Trans. Ind. Informatics 9(1): 149-160 (2013)
[c20]
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Tianzhu Zhang, Bernard Ghanem, Changsheng Xu, Narendra Ahuja:
Object Tracking by Occlusion Detection via Structured Sparse Learning. CVPR Workshops 2013: 1033-1040
[c19]
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Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja:
Low-Rank Sparse Coding for Image Classification. ICCV 2013: 281-288
[c18]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu:
Locality discriminative coding for image classification. ICIMCS 2013: 52-55
[c17]
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Chao Sun, Tianzhu Zhang, Bing-Kun Bao, Changsheng Xu:
Latent support vector machine for sign language recognition with Kinect. ICIP 2013: 4190-4194
[c16]
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Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Min Xu:
Graph-Guided Fusion Penalty Based Sparse Coding for Image Classification. PCM 2013: 475-484
[c15]
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Long Ying, Tianzhu Zhang, Shengsheng Qian, Changsheng Xu:
Multi-cue Based Multi-target Tracking with Boosted MHT. PCM 2013: 528-537
2012
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Si Liu, Shuicheng Yan, Tianzhu Zhang, Changsheng Xu, Jing Liu, Hanqing Lu:
Weakly Supervised Graph Propagation Towards Collective Image Parsing. IEEE Trans. Multim. 14(2): 361-373 (2012)
[j3]
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Tianzhu Zhang, Changsheng Xu, Guangyu Zhu, Si Liu, Hanqing Lu:
A Generic Framework for Video Annotation via Semi-Supervised Learning. IEEE Trans. Multim. 14(4): 1206-1219 (2012)
[c14]
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Tianzhu Zhang, Rui Cai, Zhiwei Li, Lei Zhang, Hanqing Lu:
Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning. ACCV (1) 2012: 474-485
[c13]
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Jerry T. Chiang, Tianzhu Zhang, Binbin Chen, Yih-Chun Hu:
Load disaggregation using harmonic analysis and regularized optimization. APSIPA 2012: 1-4
[c12]
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Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja:
Robust visual tracking via multi-task sparse learning. CVPR 2012: 2042-2049
[c11]
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Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja:
Low-Rank Sparse Learning for Robust Visual Tracking. ECCV (6) 2012: 470-484
[c10]
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Tianzhu Zhang, Bernard Ghanem, Narendra Ahuja:
Robust multi-object tracking via cross-domain contextual information for sports video analysis. ICASSP 2012: 985-988
[c9]
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Lili Qu, Tianzhu Zhang, Sai Liang:
Sustainable Urban Solid Waste Management from both Life Cycle and Urban Metabolism Perspectives. ICDMA 2012: 872-875
[c8]
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Bernard Ghanem, Maya Kreidieh, Marc Farra, Tianzhu Zhang:
Context-aware learning for automatic sports highlight recognition. ICPR 2012: 1977-1980
[c7]
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Si Liu, Jiashi Feng, Zheng Song, Tianzhu Zhang, Hanqing Lu, Changsheng Xu, Shuicheng Yan:
Hi, magic closet, tell me what to wear! ACM Multimedia 2012: 619-628
2011
[j2]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Hanqing Lu:
Boosted multi-class semi-supervised learning for human action recognition. Pattern Recognit. 44(10-11): 2334-2342 (2011)
[j1]
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Tianzhu Zhang, Jing Liu, Si Liu, Changsheng Xu, Hanqing Lu:
Boosted Exemplar Learning for Action Recognition and Annotation. IEEE Trans. Circuits Syst. Video Technol. 21(7): 853-866 (2011)
2010
[c6]
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Tianzhu Zhang, Si Liu, Changsheng Xu, Hanqing Lu:
Human action recognition via multi-view learning. ICIMCS 2010: 23-28
[c5]
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Tianzhu Zhang, Changsheng Xu, Guangyu Zhu, Si Liu, Hanqing Lu:
A generic framework for event detection in various video domains. ACM Multimedia 2010: 103-112
[c4]
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Si Liu, Jing Liu, Tianzhu Zhang, Hanqing Lu:
Human Action Recognition in Videos Using Hybrid Motion Features. MMM 2010: 411-421

2000 – 2009

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2009
[c3]
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Tianzhu Zhang, Hanqing Lu, Stan Z. Li:
Learning semantic scene models by object classification and trajectory clustering. CVPR 2009: 1940-1947
[c2]
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Tianzhu Zhang, Jing Liu, Si Liu, Yi Ouyang, Hanqing Lu:
Boosted Exemplar Learning for human action recognition. ICCV Workshops 2009: 538-545
[c1]
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Si Liu, Jing Liu, Tianzhu Zhang, Hanqing Lu:
Human action recognition in videos using motion impression image. ICIMCS 2009: 174-178

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