Jia Xu, Ph.D. Email: jiaxu [at] cs.wisc.edu

Current & Past Collaborators

• Chen Chen, UIUC
• Dr. Qifeng Chen, Stanford University
• Dr. Maxwell Collins, UW-Madison
• Prof. Chuck Dyer, UW-Madison
• Dr. Leo Grady, Heartflow
• Dr. Vamsi Ithapu, UW-Madison
• Dr. Hyunwoo Kim, UW-Madison
• Dr. Vladlen Koltun, Intel Visual Computing Lab
• Dr. Yin Li, Georgia Tech
• Dr. Zhe Lin, Adobe Research
• Prof. Ji Liu, University of Rochester
• Prof. Lopamudra Mukherjee, UW-Whitewater
• Dr. Rene Ranftl, Intel Visual Computing Lab
• Prof. Jim Rehg, Georgia Tech
• Dr. Alexander Schwing, University of Toronto
• Dr. Xiaohui Shen, Adobe Research
• Prof. Vikas Singh, UW-Madison
• Prof. Raquel Urtasun, University of Toronto
• Prof. Baba C. Vemuri, University of Florida
• Jamieson Warner, UW-Madison
• Prof. Jerry Zhu, UW-Madison

Publications

2021

• Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu.
  Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

  Paper, Code.

• Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang.
  Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling.
  Computer Vision and Pattern Recognition (CVPR), June 2021.

  Paper, Code.

2020

• Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu.
  Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching.
  Computer Vision and Pattern Recognition (CVPR), June 2020.

  Paper, Code.

• Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu.
  Learning 3D Face Reconstruction with a Pose Guidance Network.
  15th Asian Conference on Computer Vision (ACCV), December 2020. Oral.

  Paper, Code.

2019

• Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu.
  SelFlow: Self-Supervised Learning of Optical Flow.
  Computer Vision and Pattern Recognition (CVPR), June 2019. Oral. CVPR Best Paper Finalist.

  Paper, Code.

  Winner of the Sintel Optical Flow Benchmark from 11/2018 to 11/2019.

• Jing Shi, Jia Xu, Boqing Gong, Chenliang Xu.
  Not All Frames Are Equal: Weakly-Supervised Video Grounding with Contextual Similarity and Visual Clustering Losses.
  Computer Vision and Pattern Recognition (CVPR), June 2019.

  Paper, Code.

• Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang.
  DHER: Hindsight Experience Replay for Dynamic Goals.
  International Conference on Learning Representations (ICLR), May 2019.

  Paper, Code.

• Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu.
  DDFlow: Learning Optical Flow with Unlabeled Data Distillation.
  Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Jan 2019. Oral.

  Paper, Code.

• Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Q.-H. Meng.
  Solving a Rubik's Cube with a Dexterous Hand.
  IEEE International Conference on Robotics and Biomimetics (ROBIO), December 2019.

  Paper, Video, Code.

2018

• Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun.
  Learning to See in the Dark.
  Computer Vision and Pattern Recognition (CVPR), June 2018.

  Project Webpage, Paper, Video, Code.

  Media: Peta Pixel, DIY Photography, ZME Science, Digital Trends, GIZMODO, Boing Boing, Seamless (Japanese), Toutiao (Chinese).

2017

• Qifeng Chen*, Jia Xu*, Vladlen Koltun.
  Fast Image Processing with Fully-Convolutional Networks.
  International Conference on Computer Vision (ICCV), October 2017. (*equal contribution)

  Project Webpage, Paper, Video, Code.

• Jia Xu, Rene Ranftl, Vladlen Koltun.
  Accurate Optical Flow via Direct Cost Volume Processing.
  Computer Vision and Pattern Recognition (CVPR), July 2017.

  Project Webpage, Paper, Code.

  Winner of the Sintel Optical Flow Benchmark from 11/2016 to 11/2017.

2015

• Jia Xu.
  Visual Parsing with Weak Supervision.
  Ph.D. Thesis. University of Wisconsin-Madison. August 2015.

  PDF, Defense slides.

• Jia Xu, Alexander G. Schwing, Raquel Urtasun.
  Learning to Segment Under Various Forms of Weak Supervision.
  Computer Vision and Pattern Recognition (CVPR), June 2015.

  Project Webpage, Paper, Code.

• Jia Xu, Lopamudra Mukherjee, Yin Li, Jamieson Warner, James M. Rehg, Vikas Singh.
  Gaze-enabled Egocentric Video Summarization via Constrained Submodular Maximization.
  Computer Vision and Pattern Recognition (CVPR), June 2015.

  Project Webpage, Paper.

• Hyunwoo Kim, Jia Xu, Baba C. Vemuri, Vikas Singh.
  Manifold-valued Dirichlet Processes.
  International Conference on Machine Learning (ICML), July 2015.

  Project Webpage.

2014

• Jia Xu, Alexander G. Schwing, Raquel Urtasun.
  Tell Me What You See and I will Show You Where It Is.
  Computer Vision and Pattern Recognition (CVPR), June 2014.

  Project Webpage, Paper.

• Jia Xu.
  Joint Visual and Textual Mining on Social Media.
  In the PhD Forum of IEEE International Conference on Data Mining (ICDM), December 2014. Oral.

• Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh.
  Spectral Clustering with a Convex Regularizer on Millions of Images.
  European Conference on Computer Vision (ECCV), September 2014.

  Project Webpage, Paper.

2013

• Jia Xu, Vamsi K. Ithapu, Lopamudra Mukherjee, James M. Rehg, Vikas Singh.
  GOSUS: Grassmannian Online Subspace Updates with Structured-sparsity.
  International Conference on Computer Vision (ICCV), December 2013.

  Project Webpage, Paper, Source Code.

• Jia Xu, Maxwell D. Collins, Vikas Singh.
  Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus.
  Computer Vision and Pattern Recognition (CVPR), June 2013.

  Project Webpage, Paper, Poster, Source code (31MB), Dataset.

2012

• Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins.
  Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.
  European Conference on Computer Vision (ECCV), October 2012.

  Project Webpage, Paper, Poster.

• Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh.
  Random Walks based Multi-Image Cosegmentation: Quasiconvexity Results and GPU-based Solutions.
  Computer Vision and Pattern Recognition (CVPR), June 2012.

  Project Webpage, Paper, Poster, Slides, Source code, UWSMPH News Highlight.