Publications

(2022). Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR.

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(2022). GACT: Activation Compressed Training for Generic Network Architectures. ICML.

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(2022). Contrastive Test-time Adaptation. CVPR.

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(2021). On-target Adaptation. arXiv.

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

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

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(2021). CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA.

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

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(2019). Dynamic Scale Inference by Entropy Minimization. arXiv.

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(2019). Joint Monocular 3D Vehicle Detection and Tracking. ICCV.

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(2019). Monocular Plan View Networks for Autonomous Driving. IROS.

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(2019). Objects as Points. arXiv.

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(2019). Deep Object Centric Policies for Autonomous Driving. ICRA.

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

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(2018). Deep Layer Aggregation. CVPR.

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(2017). VisDA: The Visual Domain Adaptation Challenge. arXiv.

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

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(2015). Multiple Granularity Descriptors for Fine-grained Categorization. ICCV.

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(2015). Weakly Supervised Semantic Segmentation for Social Images. CVPR.

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