Publications

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 (2023). MedFMC: A Real-world Dataset and Benchmark for Foundation Model Adaptation in Medical Image Classification. Scientific Data.

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Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang (2023). Text-guided Foundation Model Adaptation for Pathological Image Classification. MICCAI.

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

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Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joseph Gonzalez, Michael Mahoney, Alvin Cheung (2022). GACT: Activation Compressed Training for Generic Network Architectures. ICML.

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Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi (2022). Contrastive Test-time Adaptation. CVPR.

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Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell (2021). On-target Adaptation. arXiv.

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Dequan Wang, An Ju, Evan Shelhamer, David Wagner, Trevor Darrell (2021). Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. arXiv.

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

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Qijing Huang, Dequan Wang, Zheng Dong, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek (2021). CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA.

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

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Dequan Wang, Evan Shelhamer, Bruno Olshausen, Trevor Darrell (2019). Dynamic Scale Inference by Entropy Minimization. arXiv.

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Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu (2019). Joint Monocular 3D Vehicle Detection and Tracking. ICCV.

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Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell (2019). Monocular Plan View Networks for Autonomous Driving. IROS.

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Xingyi Zhou, Dequan Wang, Philipp Krähenbühl (2019). Objects as Points. arXiv.

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Evan Shelhamer, Dequan Wang, Trevor Darrell (2019). Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. arXiv.

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Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell (2019). Deep Object Centric Policies for Autonomous Driving. ICRA.

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Chiyu Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner (2019). Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. ICLR.

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Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell (2018). Deep Layer Aggregation. CVPR.

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Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko (2017). VisDA: The Visual Domain Adaptation Challenge. arXiv.

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Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell (2016). FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. arXiv.

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

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

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