Xiaolong Wang

All Publication by Year Self-Supervised Learning Video Understanding Common Sense Reasoning RL and Robotics 3D Interaction Dexterous Hand

Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang.
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild.
Robotics and Automation Letters (RA-L), 2022.
International Conference on Intelligent Robots and Systems (IROS), 2022.

[arXiv]

Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang.
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[arXiv] [project page] [video] [code]

Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang.
Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[arXiv] [project page] [video] [dataset]

Xuanchi Ren, Xiaolong Wang.
Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image.
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

[arXiv] [project page] [video] [code]

Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang.
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion.
International Conference on Computer Vision (ICCV), 2021 (Oral Presentation).

[arXiv] [project page] [code] [video]

Jiarui Xu, Xiaolong Wang.
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective.
International Conference on Computer Vision (ICCV), 2021 (Oral Presentation).

[arXiv] [project page] [code]

Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson.
Compositional Video Synthesis with Action Graphs.
International Conference on Machine Learning (ICML), 2021.

[arXiv] [project page] [code]

Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang.
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes.
Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[arXiv] [code] [project page]

Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz.
Online Adaptation for Consistent Mesh Reconstruction in the Wild.
Conference on Neural Information Processing Systems (NeurIPS), 2020.

[pdf] [project page]

Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik.
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks.
International Conference on Learning Representations (ICLR), 2021.

[arXiv] [code] [project page] [Talk]

Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell.
Hierarchical Style-based Networks for Motion Synthesis.
European Conference on Computer Vision (ECCV), 2020.

[arXiv] [project page] [BibTeX]

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.

[arXiv] [project page] [BibTeX] [dataset annotation]

Xiaolong Wang and Abhinav Gupta.
Videos as Space-Time Region Graphs.
European Conference on Computer Vision (ECCV), 2018.

[arXiv] [BibTeX]

Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He.
Non-local Neural Networks.
Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

[arXiv] [BibTeX] [code]

Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, and Abhinav Gupta.
Temporal Dynamic Graph LSTM for Action-driven Video Object Detection.
International Conference on Computer Vision (ICCV), 2017

[pdf] [BibTeX] [dataset]

Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang, Ivan Laptev, Ali Farhadi, Abhinav Gupta.
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding.
European Conference on Computer Vision (ECCV), 2016

[pdf] [BibTeX] [dataset]

Xiaolong Wang, Ali Farhadi, and Abhinav Gupta.
Actions ~ Transformations.
Conference on Computer Vision and Pattern Recognition (CVPR), 2016

[pdf] [BibTeX] [dataset]

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)

[pdf]