Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang.
Multi-Person 3D Motion Prediction with Multi-Range Transformers.
Conference on Neural Information Processing Systems (NeurIPS), 2021.
Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell.
Rethinking preventing class-collapsing in metric learning with margin-based losses.
International Conference on Computer Vision (ICCV), 2021.
Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang.
Self-Supervised Policy Adaptation during Deployment.
International Conference on Learning Representations (ICLR), 2021 (Spotlight Presentation).
Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell.
What Should Not Be Contrastive in Contrastive Learning.
International Conference on Learning Representations (ICLR), 2021.
Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu†, Xiaolong Wang†, Trevor Darrell†.
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks.
Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Xiaolong Wang*, Allan Jabri* and Alexei A. Efros.
Learning Correspondence from the Cycle-consistency of Time.
Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (Oral Presentation).
(*indicates equal contributions.)
[arXiv] [BibTeX] [code]
David F. Fouhey, Xiaolong Wang, and Abhinav Gupta.
In Defense of the Direct Perception of Affordances.
Keze Wang, Xiaolong Wang, and Liang Lin.
Deep Structured Models for 3D Human Activity Recognition.
ACM International Conference on Multimedia (MM), 2014. (full paper, oral presentation)
Zhujin Liang, Xiaolong Wang, Rui Huang, and Liang Lin.
An Expressive Deep Model for Parsing Human Action from a Single Image.
International Conference on Multimedia and Expo (ICME), 2014. (oral presentation, Best Student Paper Award)
Xiaolong Wang, Liang Lin, and Lichao Huang, Shuicheng Yan.
Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection.
Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Xiaolong Wang and Liang Lin.
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection.
Advances in Neural Information Processing Systems (NIPS), 2012.
Liang Lin, Xiaolong Wang, Wei Yang, and Jian-Huang Lai.
Learning Contour-Fragment-based Shape Model with And-Or Tree Representation.
Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Wei Yang, Xiaolong Wang, Liang Lin, Chengying Gao.
Interactive CT image segmentation with online discriminative learning.
International Conference on Image Processing (ICIP), 2011.