Quanquan Li - RankMe

41 papers A* 7B 1Journal 26Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lightweight Mamba residual network integrating center-focused strategy for infrared small target detection. Appl. Soft Comput. Benzhang Ye, Guoxiang Tong, Quanquan Li
2026	J	`jnl`	Synthetic anomalies oriented knowledge distillation with discrepancy enhancements for industrial anomaly detection. Comput. Ind. Eng. Tai Lin, Quanquan Li, Yan Song, Guoxiang Tong
2026	J	`jnl`	Traffic flow prediction model based on dynamic spatio-temporal feature extraction and semantic association modeling. Comput. Electr. Eng. Guoxiang Tong, Yingpeng Tang, Wentao Zhao, Zhaoyuan Ge, Quanquan Li, Dunlu Peng
2025	B	`conf`	Efficient Semi-Supervised 3D Medical Image Segmentation via Coarse Label Generation and Reorganization. IJCNN Xinzhe Xu, Sunbo Xu, Quanquan Li
2025	J	`jnl`	Efficient real-time visual anomaly detection via frequency-aware diffusion model and information fusion. Appl. Soft Comput. Xianzhe Yao, Ping Kong, Quanquan Li, Yan Song
2025	J	`jnl`	RALACs: Action Recognition in Autonomous Vehicles Using Interaction Encoding and Optical Flow. IEEE Trans. Cybern. Eddy Zhou, Owen Leather, Alex Zhuang, Alikasim Budhwani, Rowan Dempster, Quanquan Li, Mohammad K. Al-Sharman, Derek Rayside, William Melek
2024	J	`jnl`	Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization. IEEE Trans. Big Data Guoxiang Tong, Quanquan Li, Yan Song
2023	J	`jnl`	Two-stage reverse knowledge distillation incorporated and Self-Supervised Masking strategy for industrial anomaly detection. Knowl. Based Syst. Guoxiang Tong, Quanquan Li, Yan Song
2022	J	`jnl`	RADACS: Towards Higher-Order Reasoning using Action Recognition in Autonomous Vehicles. CoRR Alex Zhuang, Eddy Zhou, Quanquan Li, Rowan Dempster, Alikasim Budhwani, Mohammad K. Al-Sharman, Derek Rayside, William Melek
2021	A*	`conf`	Differentiable Dynamic Wirings for Neural Networks. ICCV Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu
2021	J	`jnl`	Differentiable Network Adaption with Elastic Search Space. CoRR Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li
2021	A*	`conf`	Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. CVPR Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li
2021	J	`jnl`	Fixing the Teacher-Student Knowledge Discrepancy in Distillation. CoRR Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang
2021	A*	`conf`	RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. CVPR Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2021	J	`jnl`	RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. CoRR Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2020	J	`jnl`	1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask. CoRR Jingru Tan, Gang Zhang, Hanming Deng, Changbao Wang, Lewei Lu, Quanquan Li, Jifeng Dai
2020	A*	`conf`	DMCP: Differentiable Markov Channel Pruning for Neural Networks. CVPR Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan
2020	J	`jnl`	DMCP: Differentiable Markov Channel Pruning for Neural Networks. CoRR Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan
2020	J	`jnl`	Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks. CoRR Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan
2020	A*	`conf`	Equalization Loss for Long-Tailed Object Recognition. CVPR Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
2020	J	`jnl`	Equalization Loss for Long-Tailed Object Recognition. CoRR Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan
2020	J	`jnl`	Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection. CoRR Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li
2020	—	`conf`	Learning Connectivity of Neural Networks from a Topological Perspective. ECCV (21) Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan
2020	J	`jnl`	Learning Connectivity of Neural Networks from a Topological Perspective. CoRR Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan
2020	—	`conf`	MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. ECCV (14) Xin Lu, Quanquan Li, Buyu Li, Junjie Yan
2020	J	`jnl`	MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection. CoRR Xin Lu, Quanquan Li, Buyu Li, Junjie Yan
2020	J	`jnl`	Residual Knowledge Distillation. CoRR Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy
2019	J	`jnl`	Equalization Loss for Large Vocabulary Instance Segmentation. CoRR Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan
2019	J	`jnl`	Grid R-CNN Plus: Faster and Better. CoRR Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan
2019	A*	`conf`	Grid R-CNN. CVPR Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan
2019	J	`jnl`	WIDER Face and Pedestrian Challenge 2018: Methods and Results. CoRR Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou
2018	J	`jnl`	Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer. CoRR Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy, Xiaoou Tang
2018	J	`jnl`	Grid R-CNN. CoRR Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan
2018	J	`jnl`	Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection. IEEE Trans. Pattern Anal. Mach. Intell. Wanli Ouyang, Hui Zhou, Hongsheng Li, Quanquan Li, Junjie Yan, Xiaogang Wang
2017	A*	`conf`	Mimicking Very Efficient Network for Object Detection. CVPR Quanquan Li, Shengying Jin, Junjie Yan
2016	—	`conf`	POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. ECCV Workshops (2) Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
2016	J	`jnl`	POI: Multiple Object Tracking with High Performance Detection and Appearance Feature. CoRR Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan
2013	—	`conf`	An optimized hardware architecture for intra prediction in H.264 decoder. ASICON Qi Wang, Quanquan Li, Shi Chen, Tiejun Zhang, Chaohuan Hou
2013	—	`conf`	Design and implementation of transaction level processor based on UVM. ASICON Yingke Gao, Diancheng Wu, Quanquan Li, Tiejun Zhang, Chaohuan Hou
2013	—	`conf`	Low power instruction cache design based on branch execution tracks. ASICON Quanquan Li, Qi Wang, Tiejun Zhang, Donghui Wang, Chaohuan Hou
2011	—	`conf`	A test approach of combining partial scan with functional testing for high performance processors. ASICON Quanquan Li, Yingke Gao, Tiejun Zhang, Chaohuan Hou