Xiaolong Wang

Assistant Professor, UC San Diego [GitHub] [Google Scholar] [CV]
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Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang.
Self-Supervised Policy Adaptation during Deployment.
arXiv, 2020.

[arXiv] [code] [project page]

Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt.
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.
International Conference on Machine Learning (ICML), 2020.

[arXiv] [code and project page] [BibTeX]

Xueting Li*, Sifei Liu*, Shalini De Mello, Xiaolong Wang, Jan Kautz, and Ming-Hsuan Yang.
Joint-task Self-supervised Learning for Temporal Correspondence.
Conference on Neural Information Processing Systems (NeurIPS), 2019.

[arXiv] [project page] [BibTeX] [code]

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.)

[project page] [slides] [result video] [oral talk]
[arXiv] [BibTeX] [code]

Xiaolong Wang, Kaiming He, and Abhinav Gupta.
Transitive Invariance for Self-supervised Visual Representation Learning.
International Conference on Computer Vision (ICCV), 2017

[pdf] [BibTeX] [caffe_model(RGB order input)] [caffe_prototxt]

Xiaolong Wang and Abhinav Gupta.
Generative Image Modeling using Style and Structure Adversarial Networks.
European Conference on Computer Vision (ECCV), 2016

[pdf] [BibTeX] [code] [models and dataset]

Xiaolong Wang and Abhinav Gupta.
Unsupervised Learning of Visual Representations using Videos.
International Conference on Computer Vision (ICCV), 2015

[pdf] [BibTeX] [code] [model] [mined_patches] [project page] [spotlight video]

Xiaolong Wang, David F. Fouhey, and Abhinav Gupta.
Designing Deep Networks for Surface Normal Estimation.
Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

[pdf] [BibTeX] [results for NYU Depth V2] [code and models] [project page]