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RADACS: Towards Higher-Order Reasoning using Action Recognition in Autonomous Vehicles


Sep 28, 2022
Alex Zhuang, Eddy Zhou, Quanquan Li, Rowan Dempster, Alikasim Budhwani, Mohammad Al-Sharman, Derek Rayside, William Melek

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RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features


Apr 17, 2021
Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

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* Accepted by CVPR 2021. Code is available at https://github.com/zhanggang001/RefineMask 

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Fixing the Teacher-Student Knowledge Discrepancy in Distillation


Mar 31, 2021
Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang

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Differentiable Network Adaption with Elastic Search Space


Mar 30, 2021
Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li

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Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection


Dec 15, 2020
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

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Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks


Oct 02, 2020
Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan

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* 13 pages, 3 figures, 6 tables 

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MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection


Sep 24, 2020
Xin Lu, Quanquan Li, Buyu Li, Junjie Yan

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* ECCV 2020 

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1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask


Sep 03, 2020
Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai

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* Winner of LVIS challenge 2020 

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Learning Connectivity of Neural Networks from a Topological Perspective


Aug 19, 2020
Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

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* 17 pages, 5 figures, to be published in ECCV2020 

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DMCP: Differentiable Markov Channel Pruning for Neural Networks


May 08, 2020
Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan

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* CVPR2020 Oral. Code has been released at https://github.com/zx55/dmcp 

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