Publications

Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang (2022). 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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