Quanquan Li

According to our database, Quanquan Li authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhanced Multi-Scale Features Mutual Mapping Fusion Based on Reverse Knowledge Distillation for Industrial Anomaly Detection and Localization.

Guoxiang Tong, Quanquan Li, Yan Song

IEEE Trans. Big Data, August, 2024

2023

Two-stage reverse knowledge distillation incorporated and Self-Supervised Masking strategy for industrial anomaly detection.

Guoxiang Tong, Quanquan Li, Yan Song

Knowl. Based Syst., 2023

2022

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

Alex Zhuang, Eddy Zhou, Quanquan Li, Rowan Dempster, Alikasim Budhwani, Mohammad K. Al-Sharman, Derek Rayside, William Melek

CoRR, 2022

2021

Fixing the Teacher-Student Knowledge Discrepancy in Distillation.

Jiangfan Han, Mengya Gao, Yujie Wang, Quanquan Li, Hongsheng Li, Xiaogang Wang

CoRR, 2021

Differentiable Network Adaption with Elastic Search Space.

Shaopeng Guo, Yujie Wang, Kun Yuan, Quanquan Li

CoRR, 2021

Differentiable Dynamic Wirings for Neural Networks.

Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks.

Kun Yuan, Quanquan Li, Dapeng Chen, Aojun Zhou, Junjie Yan

CoRR, 2020

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

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

CoRR, 2020

Residual Knowledge Distillation.

Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy

CoRR, 2020

Learning Connectivity of Neural Networks from a Topological Perspective.

Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Xin Lu, Quanquan Li, Buyu Li, Junjie Yan

Proceedings of the Computer Vision - ECCV 2020, 2020

Equalization Loss for Long-Tailed Object Recognition.

Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DMCP: Differentiable Markov Channel Pruning for Neural Networks.

Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Equalization Loss for Large Vocabulary Instance Segmentation.

Jingru Tan, Changbao Wang, Quanquan Li, Junjie Yan

CoRR, 2019

Grid R-CNN Plus: Faster and Better.

Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan

CoRR, 2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.

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

CoRR, 2019

Grid R-CNN.

Xin Lu, Buyu Li, Yuxin Yue, Quanquan Li, Junjie Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection.

Wanli Ouyang, Hui Zhou, Hongsheng Li, Quanquan Li, Junjie Yan, Xiaogang Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer.

Mengya Gao, Yujun Shen, Quanquan Li, Chen Change Loy, Xiaoou Tang

CoRR, 2018

2017

Mimicking Very Efficient Network for Object Detection.

Quanquan Li, Shengying Jin, Junjie Yan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature.

Fengwei Yu, Wenbo Li, Quanquan Li, Yu Liu, Xiaohua Shi, Junjie Yan

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2013

An optimized hardware architecture for intra prediction in H.264 decoder.

Qi Wang, Quanquan Li, Shi Chen, Tiejun Zhang, Chaohuan Hou

Proceedings of the IEEE 10th International Conference on ASIC, 2013

Low power instruction cache design based on branch execution tracks.

Quanquan Li, Qi Wang, Tiejun Zhang, Donghui Wang, Chaohuan Hou

Proceedings of the IEEE 10th International Conference on ASIC, 2013

Design and implementation of transaction level processor based on UVM.

Yingke Gao, Diancheng Wu, Quanquan Li, Tiejun Zhang, Chaohuan Hou

Proceedings of the IEEE 10th International Conference on ASIC, 2013

2011

A test approach of combining partial scan with functional testing for high performance processors.

Quanquan Li, Yingke Gao, Tiejun Zhang, Chaohuan Hou

Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011