Quanquan Li

Orcid: 0000-0002-8518-2346

According to our database¹, Quanquan Li authored at least 26 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

Guoxiang Tong

Quanquan Li

Yan Song

Knowl. Based Syst., 2023

2022

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

[BibT_eX]

[DOI]

Mohammad K. Al-Sharman

Derek Rayside

William Melek

CoRR, 2022

2021

Fixing the Teacher-Student Knowledge Discrepancy in Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable Network Adaption with Elastic Search Space.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable Dynamic Wirings for Neural Networks.

[BibT_eX]

[DOI]

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

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Residual Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Connectivity of Neural Networks from a Topological Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Equalization Loss for Long-Tailed Object Recognition.

[BibT_eX]

[DOI]

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

DMCP: Differentiable Markov Channel Pruning for Neural Networks.

[BibT_eX]

[DOI]

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

2019

Equalization Loss for Large Vocabulary Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Grid R-CNN Plus: Faster and Better.

[BibT_eX]

[DOI]

CoRR, 2019

WIDER Face and Pedestrian Challenge 2018: Methods and Results.

[BibT_eX]

[DOI]

CoRR, 2019

Grid R-CNN.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2018

2017

Mimicking Very Efficient Network for Object Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2013

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

[BibT_eX]

[DOI]

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

Low power instruction cache design based on branch execution tracks.

[BibT_eX]

[DOI]

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

Design and implementation of transaction level processor based on UVM.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Quanquan Li

Timeline

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