| Multimodal learning with transformers: A survey P Xu, X Zhu, DA Clifton TPAMI, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 287 | 2023 |
| Sketchmate: Deep hashing for million-scale human sketch retrieval P Xu, Y Huang, T Yuan, K Pang, YZ Song, T Xiang, TM Hospedales, Z Ma, ... CVPR, Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 131 | 2018 |
| Deep learning for free-hand sketch: A survey P Xu, TM Hospedales, Q Yin, YZ Song, T Xiang, L Wang TPAMI, IEEE transactions on pattern analysis and machine intelligence 45 (1 …, 2022 | 115 | 2022 |
| Multigraph transformer for free-hand sketch recognition P Xu, CK Joshi, X Bresson TNNLS, IEEE Transactions on Neural Networks and Learning Systems 33 (10 …, 2021 | 88 | 2021 |
| SAM Struggles in Concealed Scenes--Empirical Study on" Segment Anything" GP Ji, DP Fan, P Xu, MM Cheng, B Zhou, L Van Gool arXiv preprint arXiv:2304.06022, 2023 | 87 | 2023 |
| Cross-modal subspace learning for fine-grained sketch-based image retrieval P Xu, Q Yin, Y Huang, YZ Song, Z Ma, L Wang, T Xiang, WB Kleijn, J Guo Neurocomputing 278, 75-86, 2018 | 85 | 2018 |
| Deep self-supervised representation learning for free-hand sketch P Xu, Z Song, Q Yin, YZ Song, L Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (4), 1503-1513, 2020 | 46 | 2020 |
| How to understand masked autoencoders S Cao, P Xu, DA Clifton arXiv preprint arXiv:2202.03670, 2022 | 41 | 2022 |
| Fine-grained instance-level sketch-based video retrieval P Xu, K Liu, T Xiang, TM Hospedales, Z Ma, J Guo, YZ Song IEEE Transactions on Circuits and Systems for Video Technology 31 (5), 1995-2007, 2020 | 33 | 2020 |
| Advances in deep concealed scene understanding DP Fan, GP Ji, P Xu, MM Cheng, C Sakaridis, L Van Gool Visual Intelligence 1 (1), 16, 2023 | 30 | 2023 |
| DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change P Xu, X Zhu ICCV, Proceedings of the IEEE/CVF International Conference on Computer …, 2023 | 30* | 2023 |
| Instance-level coupled subspace learning for fine-grained sketch-based image retrieval P Xu, Q Yin, Y Qi, YZ Song, Z Ma, L Wang, J Guo Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 30 | 2016 |
| Comparative study on the nonlinear properties of bilayer graphene and silicene under tension P Xu, Z Yu, C Yang, P Lu, Y Liu, H Ye, T Gao Superlattices and Microstructures 75, 647-656, 2014 | 26 | 2014 |
| On learning semantic representations for large-scale abstract sketches P Xu, Y Huang, T Yuan, T Xiang, TM Hospedales, YZ Song, L Wang IEEE Transactions on Circuits and Systems for Video Technology 31 (9), 3366-3379, 2020 | 14* | 2020 |
| Cross-modal subspace learning for sketch-based image retrieval: A comparative study P Xu, K Li, Z Ma, YZ Song, L Wang, J Guo 2016 IEEE International Conference on Network Infrastructure and Digital …, 2016 | 13 | 2016 |
| Deep zero-shot learning for scene sketch Y Xie, P Xu, Z Ma 2019 IEEE International Conference on Image Processing (ICIP), 3661-3665, 2019 | 11 | 2019 |
| Maskcl: Semantic mask-driven contrastive learning for unsupervised person re-identification with clothes change M Li, P Xu, CG Li, J Guo arXiv preprint arXiv:2305.13600, 2023 | 4 | 2023 |
| Robust visual tracking by embedding combination and weighted-gradient optimization J Feng, P Xu, S Pu, K Zhao, H Zhang Pattern Recognition 104, 107339, 2020 | 3 | 2020 |
| Large Model Based Referring Camouflaged Object Detection S Cheng, GP Ji, P Qin, DP Fan, B Zhou, P Xu arXiv preprint arXiv:2311.17122, 2023 | 2 | 2023 |
| Unsupervised long-term person re-identification with clothes change M Li, S Cheng, P Xu, X Zhu, CG Li, J Guo 2023 8th IEEE International Conference on Network Intelligence and Digital …, 2023 | 2 | 2023 |
