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 | 278 | 2018 |
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 | 110 | 2022 |
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 | 45 | 2022 |
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 | 39 | 2024 |
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 | 24 | 2023 |
Guide local feature matching by overlap estimation Y Chen, D Huang, S Xu, J Liu, Y Liu Proceedings of the AAAI conference on artificial intelligence 36 (1), 365-373, 2022 | 24 | 2022 |
Nerf-loc: Visual localization with conditional neural radiance field J Liu, Q Nie, Y Liu, C Wang 2023 IEEE International Conference on Robotics and Automation (ICRA), 9385-9392, 2023 | 23 | 2023 |
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 | 18 | 2020 |
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 | 16 | 2024 |
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 | 11 | 2022 |
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 | 10 | 2022 |
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 | 10 | 2022 |
Tuning-free image customization with image and text guidance P Li, Q Nie, Y Chen, X Jiang, K Wu, Y Lin, Y Liu, J Peng, C Wang, F Zheng arXiv preprint arXiv:2403.12658, 2024 | 9 | 2024 |
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 | 5 | 2024 |
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 | 4 | 2021 |
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 Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3639-3647, 2024 | 3 | 2024 |
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 | 2 | 2023 |
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking J Li, Q Nie, W Fu, Y Lin, G Tao, Y Liu, C Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
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 11, 35243-35254, 2023 | 1 | 2023 |
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 |