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Pei Yu
Pei Yu
Sr. Researcher at Microsoft Cloud & AI
Verified email at microsoft.com
Title
Cited by
Cited by
Year
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
2282018
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
872017
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
232019
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
152017
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
112022
Improving vision transformers for incremental learning
P Yu, Y Chen, Y Jin, Z Liu
arXiv preprint arXiv:2112.06103, 2021
112021
Learning reconstruction-based remote gaze estimation
P Yu, J Zhou, Y Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
92016
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
22022
Human Action Segmentation using 3D Fully Convolutional Network.
P Yu, J Wang, Y Wu
BMVC, 2017
22017
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
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Articles 1–14