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Quanquan Li

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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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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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

* 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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