| Deeply learned compositional models for human pose estimation W Tang, P Yu, Y Wu Proceedings of the European conference on computer vision (ECCV), 190-206, 2018 | 228 | 2018 |
| Efficient online local metric adaptation via negative samples for person re-identification J Zhou, P Yu, W Tang, Y Wu Proceedings of the IEEE International Conference on Computer Vision, 2420-2428, 2017 | 87 | 2017 |
| Unsupervised domain adaptation for object detection via cross-domain semi-supervised learning F Yu, D Wang, Y Chen, N Karianakis, T Shen, P Yu, D Lymberopoulos, ... arXiv preprint arXiv:1911.07158, 2019 | 23 | 2019 |
| Towards a unified compositional model for visual pattern modeling W Tang, P Yu, J Zhou, Y Wu Proceedings of the IEEE international conference on computer vision, 2784-2793, 2017 | 15 | 2017 |
| SC-UDA: Style and content gaps aware unsupervised domain adaptation for object detection F Yu, D Wang, Y Chen, N Karianakis, T Shen, P Yu, D Lymberopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 11 | 2022 |
| Improving vision transformers for incremental learning P Yu, Y Chen, Y Jin, Z Liu arXiv preprint arXiv:2112.06103, 2021 | 11 | 2021 |
| Learning reconstruction-based remote gaze estimation P Yu, J Zhou, Y Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 9 | 2016 |
| Sa-VQA: structured alignment of visual and semantic representations for visual question answering P Xiong, Q You, P Yu, Z Liu, Y Wu arXiv preprint arXiv:2201.10654, 2022 | 2 | 2022 |
| Human Action Segmentation using 3D Fully Convolutional Network. P Yu, J Wang, Y Wu BMVC, 2017 | 2 | 2017 |
| Should All Proposals Be Treated Equally in Object Detection? Y Li, Y Chen, X Dai, D Chen, M Liu, P Yu, Y Jin, L Yuan, Z Liu, ... Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | | 2022 |
| Visual Regression with Manifold Learning P Yu Northwestern University, 2018 | | 2018 |
| Human Action Segmentation using 3D Fully Convolutional Network Supplementary Material P Yu, J Wang, Y Wu | | |
| Supplementary Material for Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification J Zhou, P Yu, W Tang, Y Wu | | |
| Supplementary Material for Towards a Unified Compositional Model for Visual Pattern Modeling W Tang, P Yu, J Zhou, Y Wu | | |
Ying WuProfessor of Electrical and Computer Engineering, Northwestern UniversityVerified email at northwestern.edu
