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Dequan Wang
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2020 – today
- 2024
- [j4]Dequan Wang
, Xinran Zhang
RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 134:1-134:31 (2024) - [j3]Chengzhen Meng
mmPlace: Robust Place Recognition With Intermediate Frequency Signal of Low-Cost Single-Chip Millimeter Wave Radar. IEEE Robotics Autom. Lett. 9(6): 4878-4885 (2024) - [c22]Jin Gao
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. ECCV (57) 2024: 404-420 - [c21]Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng:
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. ICLR 2024 - [c20]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen:
An Extensible Framework for Open Heterogeneous Collaborative Perception. ICLR 2024 - [i36]Yunkun Zhang, Jin Gao
Data-Centric Foundation Models in Computational Healthcare: A Survey. CoRR abs/2401.02458 (2024) - [i35]Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang:
An Extensible Framework for Open Heterogeneous Collaborative Perception. CoRR abs/2401.13964 (2024) - [i34]Xiaosong Wang
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i33]Chengzhen Meng, Yifan Duan, Chenming He, Dequan Wang, Xiaoran Fan, Yanyong Zhang:
mmPlace: Robust Place Recognition with Intermediate Frequency Signal of Low-cost Single-chip Millimeter Wave Radar. CoRR abs/2403.04703 (2024) - [i32]Yixing Li, Yuxian Gu, Li Dong, Dequan Wang, Yu Cheng, Furu Wei:
Direct Preference Knowledge Distillation for Large Language Models. CoRR abs/2406.19774 (2024) - [i31]Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang:
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. CoRR abs/2408.00230 (2024) - [i30]Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang:
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. CoRR abs/2408.01091 (2024) - [i29]Zhenyu Wang, Yi Xu, Dequan Wang, Lingfeng Zhou, Yiqi Zhou:
Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models. CoRR abs/2410.16301 (2024) - 2023
- [c19]Jin Gao
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR 2023: 11786-11796 - [c18]Yunkun Zhang, Jin Gao
Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) 2023: 272-282 - [i28]Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR abs/2303.06580 (2023) - [i27]Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang:
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR abs/2306.09579 (2023) - [i26]Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR abs/2307.14901 (2023) - [i25]Siqi Kou, Lei Gan
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. CoRR abs/2310.11142 (2023) - 2022
- [c17]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CVPR 2022: 295-305 - [c16]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152 - [i24]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CoRR abs/2204.10377 (2022) - [i23]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022) - [i22]Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang:
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR abs/2207.03442 (2022) - [i21]Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen:
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset. CoRR abs/2209.08763 (2022) - [i20]Dequan Wang, Yifan Duan, Xiaoran Fan, Chengzhen Meng, Jianmin Ji, Yanyong Zhang:
MAROAM: Map-based Radar SLAM through Two-step Feature Selection. CoRR abs/2210.13797 (2022) - 2021
- [c15]Qijing Huang
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA 2021: 206-216 - [c14]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR 2021 - [c13]Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML 2021: 1803-1813 - [i19]Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR abs/2104.14129 (2021) - [i18]Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell:
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR abs/2105.08714 (2021) - [i17]Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. CoRR abs/2109.01087 (2021) - 2020
- [j2]Bahiyah Omar
Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage. Int. J. Interact. Mob. Technol. 14(4): 121-137 (2020) - [i16]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek:
Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2002.08357 (2020) - [i15]Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek:
CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR abs/2006.08357 (2020) - [i14]Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell:
Fully Test-time Adaptation by Entropy Minimization. CoRR abs/2006.10726 (2020) - [i13]Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez:
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud. CoRR abs/2006.11436 (2020)
2010 – 2019
- 2019
- [c12]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. ICCV 2019: 5389-5398 - [c11]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. ICLR (Poster) 2019 - [c10]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object-Centric Policies for Autonomous Driving. ICRA 2019: 8853-8859 - [c9]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. IROS 2019: 2876-2883 - [c8]Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai
Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS 2019: 48-51 - [i12]Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. CoRR abs/1901.02070 (2019) - [i11]Xingyi Zhou, Dequan Wang, Philipp Krähenbühl:
Objects as Points. CoRR abs/1904.07850 (2019) - [i10]Evan Shelhamer, Dequan Wang, Trevor Darrell:
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR abs/1904.11487 (2019) - [i9]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. CoRR abs/1905.06937 (2019) - [i8]Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell:
Dynamic Scale Inference by Entropy Minimization. CoRR abs/1908.03182 (2019) - 2018
- [c7]Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops 2018: 2021-2026 - [c6]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Deep Layer Aggregation. CVPR 2018: 2403-2412 - [c5]Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell:
Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) 2018 - [i7]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object Centric Policies for Autonomous Driving. CoRR abs/1811.05432 (2018) - [i6]Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu:
Joint Monocular 3D Vehicle Detection and Tracking. CoRR abs/1811.10742 (2018) - 2017
- [c4]Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue:
Iterative object and part transfer for fine-grained recognition. ICME 2017: 1470-1475 - [i5]Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue:
Iterative Object and Part Transfer for Fine-Grained Recognition. CoRR abs/1703.09983 (2017) - [i4]Fisher Yu, Dequan Wang, Trevor Darrell:
Deep Layer Aggregation. CoRR abs/1707.06484 (2017) - [i3]Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko:
VisDA: The Visual Domain Adaptation Challenge. CoRR abs/1710.06924 (2017) - 2016
- [j1]Qiaojun Wang, Kai Zhang, Zhengzhang Chen
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171: 1335-1343 (2016) - [i2]Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell:
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR abs/1612.02649 (2016) - 2015
- [c3]Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan:
Matching Reviews to Object Based on 2-Stage CRF. APWeb 2015: 92-103 - [c2]Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue:
Weakly supervised semantic segmentation for social images. CVPR 2015: 2718-2726 - [c1]Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang:
Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV 2015: 2399-2406 - [i1]Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang:
Learning to Point and Count. CoRR abs/1512.02326 (2015)
Coauthor Index
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last updated on 2024-11-27 20:30 CET by the dblp team
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