Dequan Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 53

Top Topics

Entropy Minimization

Millimeter Wave

Autonomous Driving

Image Representation

Top Venues

Publications

Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang
An Extensible Framework for Open Heterogeneous Collaborative Perception. CoRR (2024)
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. IEEE Robotics Autom. Lett. 9 (6) (2024)
Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
An Extensible Framework for Open Heterogeneous Collaborative Perception. ICLR (2024)
Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. ICLR (2024)
Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR (2024)
Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang, Dequan Wang
Data-Centric Foundation Models in Computational Healthcare: A Survey. CoRR (2024)
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 (2024)
Yixing Li, Yuxian Gu, Li Dong, Dequan Wang, Yu Cheng, Furu Wei
Direct Preference Knowledge Distillation for Large Language Models. CoRR (2024)
Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR (2023)
Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. CoRR (2023)
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 (2023)
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR (2023)
Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR (2023)
Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) (2023)
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 (2022)
Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR (2022)
Dequan Wang, Yifan Duan, Xiaoran Fan, Chengzhen Meng, Jianmin Ji, Yanyong Zhang
MAROAM: Map-based Radar SLAM through Two-step Feature Selection. CoRR (2022)
Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
Contrastive Test-Time Adaptation. CoRR (2022)
Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung
GACT: Activation Compressed Training for General Architectures. CoRR (2022)
Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
Contrastive Test-Time Adaptation. CVPR (2022)
Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung
GACT: Activation Compressed Training for Generic Network Architectures. ICML (2022)
Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR (2021)
Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR (2021)
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 (2021)
Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA (2021)
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)
Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell
On-target Adaptation. CoRR (2021)
Bahiyah Omar, Dequan Wang
Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage. Int. J. Interact. Mob. Technol. 14 (4) (2020)
Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
Algorithm-hardware Co-design for Deformable Convolution. CoRR (2020)
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 (2020)
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 (2020)
Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
Fully Test-time Adaptation by Entropy Minimization. CoRR (2020)
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)
Xingyi Zhou, Dequan Wang, Philipp Krähenbühl
Objects as Points. CoRR (2019)
Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. CoRR (2019)
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)
Evan Shelhamer, Dequan Wang, Trevor Darrell
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR (2019)
Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS (2019)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
Monocular Plan View Networks for Autonomous Driving. IROS (2019)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
Deep Object-Centric Policies for Autonomous Driving. ICRA (2019)
Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell
Dynamic Scale Inference by Entropy Minimization. CoRR (2019)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
Monocular Plan View Networks for Autonomous Driving. CoRR (2019)
Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops (2018)
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
Deep Object Centric Policies for Autonomous Driving. CoRR (2018)
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
Deep Layer Aggregation. CVPR (2018)
Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) (2018)
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 (2018)
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
VisDA: The Visual Domain Adaptation Challenge. CoRR (2017)
Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
Iterative Object and Part Transfer for Fine-Grained Recognition. CoRR (2017)
Fisher Yu, Dequan Wang, Trevor Darrell
Deep Layer Aggregation. CoRR (2017)
Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
Iterative object and part transfer for fine-grained recognition. ICME (2017)
Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR (2016)
Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing 171 (2016)
Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan
Matching Reviews to Object Based on 2-Stage CRF. APWeb (2015)
Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue
Weakly supervised semantic segmentation for social images. CVPR (2015)
Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV (2015)
Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang
Learning to Point and Count. CoRR (2015)