Li, Quanquan

11 publications

ICCV 2021 Differentiable Dynamic Wirings for Neural Networks Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

CVPR 2021 Equalization Loss V2: A New Gradient Balance Approach for Long-Tailed Object Detection Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

CVPR 2021 RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

CVPR 2020 DMCP: Differentiable Markov Channel Pruning for Neural Networks Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan

CVPR 2020 Equalization Loss for Long-Tailed Object Recognition Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan

ECCV 2020 Learning Connectivity of Neural Networks from a Topological Perspective Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

ECCV 2020 MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection Xin Lu, Quanquan Li, Buyu Li, Junjie Yan

CVPR 2019 Grid R-CNN Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan

CVPR 2017 Mimicking Very Efficient Network for Object Detection Quanquan Li, Shengying Jin, Junjie Yan

ECCV 2016 POI: Multiple Object Tracking with High Performance Detection and Appearance Feature Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan

ECCVW 2016 POI: Multiple Object Tracking with High Performance Detection and Appearance Feature Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan