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Li Quanquan
Li Quanquan
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Title
Cited by
Cited by
Year
Poi: Multiple object tracking with high performance detection and appearance feature
F Yu, W Li, Q Li, Y Liu, X Shi, J Yan
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
5292016
Grid r-cnn
X Lu, B Li, Y Yue, Q Li, J Yan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4532019
Equalization loss for long-tailed object recognition
J Tan, C Wang, B Li, Q Li, W Ouyang, C Yin, J Yan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4302020
Mimicking very efficient network for object detection
Q Li, S Jin, J Yan
Proceedings of the ieee conference on computer vision and pattern …, 2017
3452017
Dmcp: Differentiable markov channel pruning for neural networks
S Guo, Y Wang, Q Li, J Yan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1592020
Jointly learning deep features, deformable parts, occlusion and classification for pedestrian detection
W Ouyang, H Zhou, H Li, Q Li, J Yan, X Wang
IEEE transactions on pattern analysis and machine intelligence 40 (8), 1874-1887, 2017
1502017
Equalization loss v2: A new gradient balance approach for long-tailed object detection
J Tan, X Lu, G Zhang, C Yin, Q Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1432021
Refinemask: Towards high-quality instance segmentation with fine-grained features
G Zhang, X Lu, J Tan, J Li, Z Zhang, Q Li, X Hu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1052021
Mimicdet: Bridging the gap between one-stage and two-stage object detection
X Lu, Q Li, B Li, J Yan
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
722020
Wider face and pedestrian challenge 2018: Methods and results
CC Loy, D Lin, W Ouyang, Y Xiong, S Yang, Q Huang, D Zhou, W Xia, ...
arXiv preprint arXiv:1902.06854, 2019
422019
Residual knowledge distillation
M Gao, Y Shen, Q Li, CC Loy
arXiv preprint arXiv:2002.09168, 2020
362020
An embarrassingly simple approach for knowledge distillation
M Gao, Y Shen, Q Li, J Yan, L Wan, D Lin, CC Loy, X Tang
arXiv preprint arXiv:1812.01819, 2018
242018
1st place solution of lvis challenge 2020: A good box is not a guarantee of a good mask
J Tan, G Zhang, H Deng, C Wang, L Lu, Q Li, J Dai
arXiv preprint arXiv:2009.01559, 2020
162020
Methods and apparatuses for object detection, and devices
L Liu, Q Li, J Yan
US Patent 11,222,441, 2022
52022
Grid r-cnn plus: Faster and better
X Lu, B Li, Y Yue, Q Li, J Yan
arXiv preprint arXiv:1906.05688, 2019
52019
Differentiable dynamic wirings for neural networks
K Yuan, Q Li, S Guo, D Chen, A Zhou, F Yu, Z Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision, 327-336, 2021
42021
Fixing the teacher-student knowledge discrepancy in distillation
J Han, M Gao, Y Wang, Q Li, H Li, X Wang
arXiv preprint arXiv:2103.16844, 2021
32021
Learning connectivity of neural networks from a topological perspective
K Yuan, Q Li, J Shao, J Yan
European Conference on Computer Vision, 737-753, 2020
32020
Methods and apparatuses for determining bounding box of target object, media, and devices
LI Buyu, Q Li, J Yan
US Patent 11,348,275, 2022
22022
Equalization loss for large vocabulary instance segmentation
J Tan, C Wang, Q Li, J Yan
arXiv preprint arXiv:1911.04692, 2019
22019
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