Wang, Dequan

17 publications

ICLR 2024 An Extensible Framework for Open Heterogeneous Collaborative Perception Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen

ICLR 2024 BayesDiff: Estimating Pixel-Wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng

ECCV 2024 Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang

ECCVW 2024 HumanSim: Human-like Multi-Agent Novel Driving Simulation for Corner Case Generation Lingfeng Zhou, Mohan Jiang, Dequan Wang

ECCVW 2024 KAN-Mixer: Kolmogorov-Arnold Networks for Gene Expression Prediction in Plant Species Jin Gao, Juntu Zhao, Keyu Li, Dequan Wang

ECCV 2024 Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang

ECCVW 2024 Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models Jialing Zhang, Chongxuan Li, Dequan Wang

CVPR 2023 Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang

CVPR 2022 Contrastive Test-Time Adaptation Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

ICML 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 Mahoney, Alvin Cheung

ICML 2021 ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael Mahoney, Joseph Gonzalez

ICLR 2021 Tent: Fully Test-Time Adaptation by Entropy Minimization Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell

ICLR 2019 Convolutional Neural Networks on Non-Uniform Geometrical Signals Using Euclidean Spectral Transformation Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Niessner

ICLRW 2019 Efficient Receptive Field Learning by Dynamic Gaussian Structure Evan Shelhamer, Dequan Wang, Trevor Darrell

CVPRW 2018 VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko

ICCV 2015 Multiple Granularity Descriptors for Fine-Grained Categorization Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang

CVPR 2015 Weakly Supervised Semantic Segmentation for Social Images Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue