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Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation

Oct 15, 2020
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai


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Deformable DETR: Deformable Transformers for End-to-End Object Detection

Oct 08, 2020
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai


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Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

Mar 19, 2020
Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin


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Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation

Oct 07, 2019
Hang Gao, Xizhou Zhu, Steve Lin, Jifeng Dai

* First two authors contributed equally 

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Aug 22, 2019
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

* Work in progress 

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An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Apr 11, 2019
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai


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Deformable ConvNets v2: More Deformable, Better Results

Nov 28, 2018
Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai


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Integrated Object Detection and Tracking with Tracklet-Conditioned Detection

Nov 27, 2018
Zheng Zhang, Dazhi Cheng, Xizhou Zhu, Stephen Lin, Jifeng Dai


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Towards High Performance Video Object Detection for Mobiles

Apr 16, 2018
Xizhou Zhu, Jifeng Dai, Xingchi Zhu, Yichen Wei, Lu Yuan


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Towards High Performance Video Object Detection

Nov 30, 2017
Xizhou Zhu, Jifeng Dai, Lu Yuan, Yichen Wei


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Flow-Guided Feature Aggregation for Video Object Detection

Aug 18, 2017
Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, Yichen Wei


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Deep Feature Flow for Video Recognition

Jun 05, 2017
Xizhou Zhu, Yuwen Xiong, Jifeng Dai, Lu Yuan, Yichen Wei


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