| Surface Representation for Point Clouds H Ran, J Liu, C Wang IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2022 oral …, 2022 | 129 | 2022 |
| Learning inner-group relations on point clouds H Ran, W Zhuo, J Liu, L Lu IEEE International Conference on Computer Vision(ICCV 2021), 15477-15487, 2021 | 58 | 2021 |
| En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning X Kong, Z Gao, X Li, M Hong, J Liu, C Wang, Y Xie, Y Qu IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2022), 9306-9315, 2022 | 40 | 2022 |
| Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification H Sun*, J Liu*, Z Zhang, C Wang, Y Qu, Y Xie, L Ma 30th ACM International Conference on Multimedia, 5333-5341, 2022 | 30 | 2022 |
| Single-shot face anti-spoofing for dual pixel camera X Wu, J Zhou, J Liu, F Ni, H Fan IEEE Transactions on Information Forensics and Security 16, 1440-1451, 2020 | 19 | 2020 |
| tSF: Transformer-Based Semantic Filter for Few-Shot Learning J Lai, S Yang, W Liu, Y Zeng, Z Huang, W Wu, J Liu, BB Gao, C Wang European Conference on Computer Vision(ECCV 2022), 1-19, 2022 | 12 | 2022 |
| Decoupling classifier for boosting few-shot object detection and instance segmentation BB Gao, X Chen, Z Huang, C Nie, J Liu, J Lai, G Jiang, X Wang, C Wang Advances in Neural Information Processing Systems 35, 18640-18652, 2022 | 10 | 2022 |
| Towards Continual Adaptation in Industrial Anomaly Detection W Li, J Zhan, J Wang, B Xia, BB Gao, J Liu, C Wang, F Zheng 30th ACM International Conference on Multimedia, 2871-2880, 2022 | 7 | 2022 |
| Rethinking gradient projection continual learning: Stability/plasticity feature space decoupling Z Zhao, Z Zhang, X Tan, J Liu, Y Qu, Y Xie, L Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| SpatialFormer: semantic and target aware attentions for few-shot learning J Lai, S Yang, W Wu, T Wu, G Jiang, X Wang, J Liu, BB Gao, W Zhang, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8430-8437, 2023 | 4 | 2023 |
| 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 |
| Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision J Zhan*, J Liu*, W Tang, G Jiang, X Wang, BB Gao, T Zhang, W Wu, ... 30th ACM International Conference on Multimedia, 6318-6326, 2022 | 3 | 2022 |
| HDNet: a hierarchically decoupled network for crowd counting C Gu, C Wang, BB Gao, J Liu, T Zhang 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 3 | 2022 |
| Clustered-patch element connection for few-shot learning J Lai, S Yang, J Zhou, W Wu, X Chen, J Liu, BB Gao, C Wang arXiv preprint arXiv:2304.10093, 2023 | 1 | 2023 |
| Instance and Category Supervision are Alternate Learners for Continual Learning X Tian, Z Zhang, X Tan, J Liu, C Wang, Y Qu, G Jiang, Y Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Hierarchical Walking Transformer for Object Re-Identification X Tian*, J Liu*, Z Zhang, C Wang, Y Qu, Y Xie, L Ma 30th ACM International Conference on Multimedia(accepted as oral), 4224-4232, 2022 | 1 | 2022 |
| MatchDet: A Collaborative Framework for Image Matching and Object Detection J Lai, W Wu, BB Gao, J Liu, J Zhan, C Nie, Y Zeng, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2858-2865, 2024 | | 2024 |
| Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective J Lai, S Yang, G Jiang, X Wang, Y Li, Z Jia, X Chen, J Liu, BB Gao, ... Proceedings of the 30th ACM International Conference on Multimedia, 4021-4030, 2022 | | 2022 |
| nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection J Lai, W Liu, J Liu arXiv preprint arXiv:2209.03603, 2022 | | 2022 |
| Bias to Balance: New-Knowledge-Preferred Few-Shot Class-Incremental Learning Via Transition Calibration Z Zhang, X Tan, J Liu, Y Qu, Y Xie | | |
Chengjie WANG（汪铖杰）Tencent Youtu Lab, Shanghai Jiao Tong UniversityVerified email at tencent.com
