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Yong Liu
Yong Liu
Tencent Youtu Lab
Verified email at tencent.com
Title
Cited by
Cited by
Year
Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
Y Liu, R Wang, S Shan, X Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2612018
Class-aware contrastive semi-supervised learning
F Yang, K Wu, S Zhang, G Jiang, Y Liu, F Zheng, W Zhang, C Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
782022
Im-iad: Industrial image anomaly detection benchmark in manufacturing
G Xie, J Wang, J Liu, J Lyu, Y Liu, C Wang, F Zheng, Y Jin
IEEE Transactions on Cybernetics, 2024
272024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
J Xi, J Liu, J Wang, Q Nie, WU Kai, Y Liu, C Wang, F Zheng
Advances in Neural Information Processing Systems, 2022
222022
Guide Local Feature Matching by Overlap Estimation
Y Chen, D Huang, S Xu, J Liu, Y Liu
AAAI 2022, 2022
192022
Adaptive assignment for geometry aware local feature matching
D Huang, Y Chen, Y Liu, J Liu, S Xu, W Wu, Y Ding, F Tang, C Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
142023
Dive deeper into box for object detection
R Chen, Y Liu, M Zhang, S Liu, B Yu, YW Tai
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
142020
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
J Liu, Q Nie, Y Liu, C Wang
ICRA 2023, 2023
132023
Real3d-ad: A dataset of point cloud anomaly detection
J Liu, G Xie, R Chen, X Li, J Wang, Y Liu, C Wang, F Zheng
Advances in Neural Information Processing Systems 36, 2024
82024
Rethinking dimensionality reduction in grid-based 3d object detection
D Huang, Y Chen, Y Ding, J Liao, J Liu, K Wu, Q Nie, Y Liu, C Wang, Z Li
arXiv preprint arXiv:2209.09464, 2022
82022
Joint learning content and degradation aware feature for blind super-resolution
Y Zhou, C Lin, D Luo, Y Liu, Y Tai, C Wang, M Chen
Proceedings of the 30th ACM International Conference on Multimedia, 2606-2616, 2022
72022
UniInst: Unique representation for end-to-end instance segmentation
Y Ou, R Yang, L Ma, Y Liu, J Yan, S Xu, C Wang, X Li
Neurocomputing 514, 551-562, 2022
62022
Lvis challenge track technical report 1st place solution: Distribution balanced and boundary refinement for large vocabulary instance segmentation
WF Fu, CC Nie, T Sun, J Liu, TL Zhang, Y Liu
arXiv preprint arXiv:2111.02668, 2021
42021
Beyond prototypes: Semantic anchor regularization for better representation learning
Y Ge, Q Nie, Y Huang, Y Liu, C Wang, F Zheng, W Li, L Duan
Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 1887-1895, 2024
22024
Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning
W Li, BB Gao, B Xia, J Wang, J Liu, Y Liu, C Wang, F Zheng
IEEE Transactions on Multimedia, 2023
22023
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
J Liu, K Wu, Q Nie, Y Chen, BB Gao, Y Liu, J Wang, C Wang, F Zheng
arXiv preprint arXiv:2401.01010, 2024
12024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
J Li, Q Nie, W Fu, Y Lin, G Tao, Y Liu, C Wang
arXiv preprint arXiv:2403.04303, 2024
2024
Can the Query-based Object Detector Be Designed with Fewer Stages?
J Li, W Fu, Y Lin, Q Nie, Y Liu
arXiv preprint arXiv:2309.16306, 2023
2023
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
D Zhou, J Li, J Li, J Huang, Q Nie, Y Liu, BB Gao, Q Wang, PA Heng, ...
arXiv preprint arXiv:2308.12017, 2023
2023
Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction
D Huang, Y Chen, Y Ding, Y Liu, Q Nie, C Wang, Z Li
IEEE Access, 2023
2023
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