Publications

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. arXiv, 2021.

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ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML, 2021.

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Tent: Fully Test-time Adaptation by Entropy Minimization. ICLR, 2021.

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CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. FPGA, 2021.

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Dynamic Scale Inference by Entropy Minimization. arXiv, 2019.

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Joint Monocular 3D Vehicle Detection and Tracking. ICCV, 2019.

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Monocular Plan View Networks for Autonomous Driving. IROS, 2019.

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Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. arXiv, 2019.

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Objects as Points. arXiv, 2019.

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Deep Object Centric Policies for Autonomous Driving. ICRA, 2019.

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Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. ICLR, 2019.

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Deep Layer Aggregation. CVPR, 2018.

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VisDA: The Visual Domain Adaptation Challenge. arXiv, 2017.

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FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. arXiv, 2016.

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Multiple Granularity Descriptors for Fine-grained Categorization. ICCV, 2015.

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Weakly Supervised Semantic Segmentation for Social Images. CVPR, 2015.

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