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Quanquan Li

Equalization Loss for Long-Tailed Object Recognition
2020 · Jingru Tan, Changbao Wang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 519
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Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
2021 · Jingru Tan, Xin Lu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 202
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RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
2021 · Gang Zhang, Xin Lu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 162
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Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection
2017 · Wanli Ouyang, Hui Zhou, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 131
WIDER Face and Pedestrian Challenge 2018: Methods and Results
2019 · Loy, Chen Change, Lin, Dahua, et al. · arXiv (Cornell University) · 27
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Implication of two-coupled tri-stable stochastic resonance in weak signal detection
2018 · Quan-Quan Li, Xue-Mei Xu, et al. · Chinese Physics B · 25
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Residual Knowledge Distillation
2020 · Gao, Mengya, Shen, Yujun, et al. · arXiv (Cornell University) · 22
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An Embarrassingly Simple Approach for Knowledge Distillation
2018 · Gao, Mengya, Shen, Yujun, et al. · arXiv (Cornell University) · 19
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1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask
2020 · Tan, Jingru, Zhang, Gang, et al. · arXiv (Cornell University) · 12
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Grid R-CNN Plus: Faster and Better
2019 · Lu, Xin, Li, Buyu, et al. · arXiv (Cornell University) · 9
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Differentiable Dynamic Wirings for Neural Networks
2021 · Kun Yuan, Quanquan Li, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 5
Fixing the Teacher-Student Knowledge Discrepancy in Distillation
2021 · Han, Jiangfan, Gao, Mengya, et al. · arXiv (Cornell University) · 3
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Diving into Optimization of Topology in Neural Networks
2019 · Kun Yuan, Quanquan Li, et al. · 3
Learning Connectivity of Neural Networks from a Topological Perspective
2020 · Kun Yuan, Quanquan Li, et al. · Lecture notes in computer science · 2
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Pruning With Hints: an Efficient Framework for Model Acceleration
2018 · Wei Gao, Wei Yi, et al. · 2
Lightweight Mamba residual network integrating center-focused strategy for infrared small target detection
2025 · Benzhang Ye, Guoxiang Tong, et al. · Applied Soft Computing · 1
Equalization Loss for Large Vocabulary Instance Segmentation
2019 · Tan, Jingru, Wang, Changbao, et al. · arXiv (Cornell University) · 1
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An optimized hardware architecture for intra prediction in H.264 decoder
2013 · Qi Wang, Quanquan Li, et al. · IEEE International Conference on ASIC (ASICON) · 1
Differentiable Network Adaption with Elastic Search Space
2021 · Guo, Shaopeng, Wang, Yujie, et al. · arXiv (Cornell University)
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Low power instruction cache design based on branch execution tracks
2013 · Quanquan Li, Qi Wang, et al. · IEEE International Conference on ASIC (ASICON)
Low power optimization of instruction cache based on tag check reduction
2012 · Quanquan Li, Lidan Bao, et al. · IEEE International Conference on Solid-State and Integrated Circuit Technology
A test approach of combining partial scan with functional testing for high performance processors
2011 · Quanquan Li, Yingke Gao, et al. · IEEE International Conference on ASIC (ASICON)
Works count: 22
Citation count: 1,146
H-index: 9
I10-index: 9
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