Dequan Wang

According to our database, Dequan Wang authored at least 44 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

mmPlace: Robust Place Recognition with Intermediate Frequency Signal of Low-cost Single-chip Millimeter Wave Radar.

Chengzhen Meng, Yifan Duan, Chenming He, Dequan Wang, Xiaoran Fan, Yanyong Zhang

CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.

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

CoRR, 2024

An Extensible Framework for Open Heterogeneous Collaborative Perception.

Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang

CoRR, 2024

Data-Centric Foundation Models in Computational Healthcare: A Survey.

Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang, Dequan Wang

CoRR, 2024

2023

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference.

Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng

CoRR, 2023

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.

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

CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.

Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li

CoRR, 2023

Text-Guided Foundation Model Adaptation for Pathological Image Classification.

Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption.

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MAROAM: Map-based Radar SLAM through Two-step Feature Selection.

Dequan Wang, Yifan Duan, Xiaoran Fan, Chengzhen Meng, Jianmin Ji, Yanyong Zhang

CoRR, 2022

Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset.

Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen

CoRR, 2022

Back to the Source: Diffusion-Driven Test-Time Adaptation.

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

CoRR, 2022

GACT: Activation Compressed Training for General Architectures.

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

CoRR, 2022

GACT: Activation Compressed Training for Generic Network Architectures.

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

Proceedings of the International Conference on Machine Learning, 2022

Contrastive Test-Time Adaptation.

Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On-target Adaptation.

Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell

CoRR, 2021

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks.

Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell

CoRR, 2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez

Proceedings of the 38th International Conference on Machine Learning, 2021

Tent: Fully Test-Time Adaptation by Entropy Minimization.

Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell

Proceedings of the 9th International Conference on Learning Representations, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.

Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage.

Bahiyah Omar, Dequan Wang

Int. J. Interact. Mob. Technol., 2020

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud.

Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

CoRR, 2020

Fully Test-time Adaptation by Entropy Minimization.

Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell

CoRR, 2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.

Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek

CoRR, 2020

2019

Dynamic Scale Inference by Entropy Minimization.

Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell

CoRR, 2019

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields.

Evan Shelhamer, Dequan Wang, Trevor Darrell

CoRR, 2019

Objects as Points.

Xingyi Zhou, Dequan Wang, Philipp Krähenbühl

CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.

Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Monocular Plan View Networks for Autonomous Driving.

Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Deep Object-Centric Policies for Autonomous Driving.

Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell

Proceedings of the International Conference on Robotics and Automation, 2019

Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation.

Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner

Proceedings of the 7th International Conference on Learning Representations, 2019

Joint Monocular 3D Vehicle Detection and Tracking.

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Rich Image Representation with Deep Layer Aggregation.

Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Layer Aggregation.

Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation.

Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

VisDA: The Visual Domain Adaptation Challenge.

Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko

CoRR, 2017

Deep Layer Aggregation.

Fisher Yu, Dequan Wang, Trevor Darrell

CoRR, 2017

Iterative object and part transfer for fine-grained recognition.

Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

Enhancing semi-supervised learning through label-aware base kernels.

Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic

Neurocomputing, 2016

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.

Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell

CoRR, 2016

2015

Learning to Point and Count.

Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang

CoRR, 2015

Multiple Granularity Descriptors for Fine-Grained Categorization.

Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly supervised semantic segmentation for social images.

Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Matching Reviews to Object Based on 2-Stage CRF.

Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015