NFormer: Robust Person Re-identification with Neighbor Transformer H Wang, J Shen, Y Liu, Y Gao, E Gavves Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 150 | 2022 |
Reciprocal Transformations for Unsupervised Video Object Segmentation S Ren, W Liu, Y Liu, H Chen, G Han, S He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 95 | 2021 |
Crowd Counting via Cross-stage Refinement Networks Y Liu, Q Wen, H Chen, W Liu, J Qin, G Han, S He IEEE Transactions on Image Processing, 2020 | 58 | 2020 |
CrowdGAN: Identity-free Interactive Crowd Video Generation and Beyond L Chai*, Y Liu*, W Liu, G Han, S He (* denotes co-first authors) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 23 | 2020 |
Learning Transferable Perturbations for Image Captioning H Wu, Y Liu, H Cai, S He ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 17 | 2022 |
Fine-grained domain adaptive crowd counting via point-derived segmentation Y Liu, D Xu, S Ren, H Wu, H Cai, S He 2023 IEEE International Conference on Multimedia and Expo (ICME), 2363-2368, 2023 | 12 | 2023 |
Reducing spatial labeling redundancy for active semi-supervised crowd counting Y Liu, S Ren, L Chai, H Wu, D Xu, J Qin, S He IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 9248-9255, 2022 | 12 | 2022 |
Make Your Own Sprites: Aliasing-aware and Cell-controllable Pixelization Z Wu, L Chai, N Zhao, B Deng, Y Liu, Q Wen, J Wang, S He ACM Transactions on Graphics 41 (6), 2022 | 9 | 2022 |
Parsing-conditioned anime translation: A new dataset and method Z Li, Y Xu, N Zhao, Y Zhou, Y Liu, D Lin, S He ACM Transactions on Graphics 42 (3), 1-14, 2023 | 8 | 2023 |
Glance to count: Learning to rank with anchors for weakly-supervised crowd counting Z Xiong, L Chai, W Liu, Y Liu, S Ren, S He Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 7 | 2024 |
Graph Switching Dynamical Systems Y Liu, S Magliacane, M Kofinas, E Gavves International Conference on Machine Learning, 2023 | 6 | 2023 |
Dynamic transformer for few-shot instance segmentation H Wang, J Liu, Y Liu, S Maji, JJ Sonke, E Gavves Proceedings of the 30th ACM International Conference on Multimedia, 2969-2977, 2022 | 5 | 2022 |
Weakly Supervised Segmentation via Instance-aware Propagation X Huang, Q Zhu, Y Liu, S He Neurocomputing, 2021 | 3 | 2021 |
Mask-guided Deformation Adaptive Network for Human Parsing A Mao, Y Liang, J Jiao, Y Liu, S He ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 2 | 2022 |
Reducing Spatial Labeling Redundancy for Semi-supervised Crowd Counting Y Liu, S Ren, L Chai, H Wu, J Qin, D Xu, S He arXiv preprint arXiv:2108.02970, 2021 | 2 | 2021 |
Amortized Equation Discovery in Hybrid Dynamical Systems Y Liu, S Magliacane, M Kofinas, E Gavves International Conference on Machine Learning, 2024 | 1 | 2024 |
Reducing Spatial Labeling Redundancy for Active Semi-Supervised Crowd Counting.(2023) Y LIU, S REN, L CHAI, H WU, D XU, J QIN, S HE IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 9248-9255, 0 | | |