Xinchao Wang

Assistant Professor

Department of Computer Science

Stevens Institute of Technology

xinchao.wang-at-stevens.edu

Hoboken, New Jersey 07030

Simplicity is the final achievement. --- Frederic Chopin

Multiple PhD studentships available at the Stevens Institute of Technology, on the topics of Artificial Intelligence, Machine Learning, and Computer Vision. Please contact me if you are interested.

News

Last Updated July 2020

  • [Jul. 2020] Three papers accepted by ECCV'20, including one spotlight.
  • [Jun. 2020] Elected to IEEE Senior Member
  • [Apr. 2020] I am very happy to receive the Stevens Outstanding Teaching Recognition.
  • [Mar. 2020] One paper accepted by IJCV.
  • [Mar. 2020] Serving as an Area Chair of CVPR'21.
  • [Feb. 2020] Four papers accepted by CVPR'20, including one oral.
  • [Jan. 2020] Two papers accepted by TIP'20.
  • [Nov. 2019] Three papers accepted by AAAI'20.
  • [Oct. 2019] Serving as a Senior Program Committee of IJCAI'20.
  • [Sep. 2019] One paper on transfer learning accepted by NeurIPS'19.
  • [Aug. 2019] One paper on sequence matching accepted by TPAMI.
  • [Jul. 2019] Two papers (one on 3D pose estimation [oral] + one on model reusing) accepted by ICCV'19.
  • [Jun. 2019] One paper on weakly-supervised scene parsing accepted by TIP.
  • [May 2019] Three papers (one on graph convolution + two on knowledge amalgamation) accepted by IJCAI'19.
  • [Mar. 2019] One paper on local features accepted by TIP.
  • [Feb. 2019] Two papers accepted by CVPR'19.
  • [Feb. 2019] Serving as a Program Committee of ICCV'19.
  • [Dec. 2018] Serving as an Area Chair of ICIP'19.
  • [Dec. 2018] Serving as a Senior Program Committee of IJCAI'19.
  • [Nov. 2018] Two papers accepted by AAAI'19. One on deep model reusing, the other on person Re-ID.
  • [Sep. 2018] One paper on Multi-Task Learning accepted by TNNLS.
  • [Sep. 2018] Serving as an Area Chair of ICME'19.
  • [Sep. 2018] Serving as a Program Committee of CVPR'19.
  • [Sep. 2018] One paper on Disentangling accepted by NIPS'18.
  • [Jul. 2018] One paper on Fisheye Image Undistortion accepted by ECCV'18.
  • [Jun. 2018] Our team wins the NTIRE 2018 Super Resolution Challenge [Code available here]
  • [May 2018] Serving as a Senior Program Committee (SPC) of AAAI'19.
  • [May 2018] One paper on interacting tracklets for MOT accepted by TIP.
  • [May 2018] One paper on multi-task segmentation accepted by MICCAI.
  • [Mar. 2018] One paper on video super-resolution accepted by TIP.
  • [Feb. 2018] Serving as a Program Committee of ECCV'18.
  • [Feb. 2018] One paper on geometry-aware text detection accepted by CVPR'18 [Code available here].
  • [Jan. 2018] Serving as a Program Committee of IJCAI'18.
  • [Nov. 2017] I became an associate editor of the Journal of Visual Communication and Image Representation (JVCI).
  • [Sep. 2017] Serving as a Program Committee of CVPR'18.
  • [Jul. 2017] One paper on multi-object tracking with global motions accepted by ICCV'17. [Code available here]
  • [Jun. 2017] One paper on hashing accepted by BMVC'17. [Code available here]
  • [May 2017] One paper on batch-based multi-object tracking accepted by TIP. [Code available here]
  • [May 2017] One paper accepted by CVPR'17 NTIRE workshop, and wins the "5th Place Award". [Code available here]
  • [Apr. 2017] One paper on compressing DNN accepted as spotlight oral (acceptance rate = 8.0%) by CVPR'17.
  • [Apr. 2017] One paper accepted by IEEE Geoscience and Remote Sensing Letters (GRSL).
  • [Mar. 2017] Invited talk at Pennsylvania State University.
  • [Mar. 2017] Invited talk at Michigan State University.
  • [Mar. 2017] Invited talk at University of Hong Kong.
  • [Feb. 2017] Invited talk at Arizona State University.
  • [Feb. 2017] Invited talk at University of Tennessee, Knoxville.
  • [Feb. 2017] Invited talk at Stevens Institute of Technology.
  • [Dec. 2016] Our cell tracking paper is accepted by TMI. [Code available here]
  • [Nov. 2016] Invited talk at City University of Hong Kong (CityU).
  • [Oct. 2016] The best symposium I've ever attended, the Huang Symposium, [photos1] [photos2] [photos3].
  • [Sep. 2016] Invited talk at ShenZhen Institute of Advanced Technology (SIAT).
  • [Aug. 2016] Selected as the Outstanding Overseas Scholar of the Hundred Talents program by the Chinese Academic of Sciences (CAS).
  • [Jul. 2016] The code of our CVPR'16 paper is published here.
  • [May 2016] I have joined Prof. Thomas Huang's group at Beckman Institute, UIUC as a postdoc.
  • [Apr. 2016] Invited talk at National Laboratory of Pattern Recognition (NLPR), the Chinese Academic of Science (CAS).
  • [Apr. 2016] The code of our TPAMI'16 paper is published here.
  • [Mar. 2016] Our paper on ball tracking is accepted as a spotlight oral (acceptance rate = 9.6%) by CVPR'16.
  • [Jan. 2016] The Car-People dataset used in our TPAMI'16 paper is published here.
  • [Dec. 2015] Our paper titled "Tracking interacting objects using intertwined flows" is accepted by TPAMI.

Biography

I am currently a tenure-track assistant professor in the Dept. of Computer Science, Stevens Institute of Technology. Before joining Stevens, I was a Postdoc at Prof. Thomas Huang's Image Formation and Professing (IFP) group at Beckman Institute, University of Illinois Urbana-Champaign (UIUC). I received my Ph.D. from the Computer Vision Lab, École polytechnique fédérale de Lausanne (EPFL), advised by Prof. Pascal Fua, and the first-class honorable B.Sc. in Dept. of Computing, the Hong Kong Polytechnic University (HKPU) in 2010, advised by Prof. Zhu Li and Prof. Dacheng Tao.

[Google Scholar] [DBLP]

Education and Postdoc

  • SwissNSF Postdoctoral Fellow, University of Illinois, Urbana-Champaign (UIUC)
    • May 2016 - October 2017
    • Supervisor: Prof. Thomas S. Huang
  • Postdoctoral Fellow, École polytechnique fédérale de Lausanne (EPFL)
    • July 2015 - March 2016
    • Supervisor: Prof. Pascal Fua
  • Ph.D., Computer Science, École polytechnique fédérale de Lausanne (EPFL)
    • July 2015
    • Supervisor: Prof. Pascal Fua
  • B.Sc. (First-class Hon.), Computing, the Hong Kong Polytechnic University (HKPU)
    • November 2010
    • Supervisor: Prof. Zhu Li and Prof. Dacheng Tao

Selected Press

Team

  • Mr. Yiding Yang, PhD Student
  • Ms. Huihui Liu, PhD Student

Teaching

  • Outstanding Teaching Recognition, Fall 2019.
  • CS 559, Machine Learning Fundamentals and Applications (Spring/Fall 2018, 2019, 2010), Stevens Institute of Technology
  • CS 558, Computer Vision (Spring 2019, 2020), Stevens Institute of Technology

Service

  • Area Chair:
    • Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    • IEEE International Conference on Multimedia and Expo (ICME), 2019
    • IEEE International Conference on Image Processing (ICIP), 2019, 2020
  • Senior Program Committee:
    • AAAI Conference on Artificial Intelligence (AAAI), 2019
    • International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2020
  • Associate Editor:
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • Journal of Visual Communication and Image Representation (JVCI)
      • Best Paper Selection Committee, 2019
  • Poster Chair
    • IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020
  • Program Committee:
    • Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2018, 2019, 2020
    • Neural Information Processing Systems (NeurIPS) 2020
    • International Conference on Computer Vision (ICCV), 2019
    • European Conference on Computer (ECCV), 2018
    • International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2018, 2019
    • ACM Multimedia (MM), 2017, 2018
    • AAAI Conference on Artificial Intelligence (AAAI), 2017, 2020
  • Journal Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Image Processing (TIP)
    • IEEE Transactions on Medical Imaging (TMI)
    • Medical Image Analysis (MIA)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • Computer Vision and Image Understanding (CVIU)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)

Selected Publications since 2016

Last Updated July 2020


  1. [ECCV'20] Y. Yang, J. Qiu, M. Song, D. Tao, and X. Wang, “Learning Propagation Rules for Attribution Map Generation”, European Conference on Computer Vision (ECCV), 2020.
  2. [ECCV'20] J. Qiu, Y. Yang, X. Wang, and D. Tao, “Hallucinating Visual Instances in Total Absentia”, European Conference on Computer Vision (ECCV), 2020. (spotlight)
  3. [ECCV'20] S. Luo, W. Pan, X. Wang, D. Wang, H. Tang, M. Song, “Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multitalent Student Learning”, European Conference on Computer Vision (ECCV), 2020.
  4. [CVPR'20] Y Yang, J Qiu, M Song, D Tao, X. Wang, "Distilling Knowledge from Graph Convolutional Networks", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  5. [CVPR'20] J Song, Y Chen, J Ye, X. Wang, C Shen, F Mao, M Song, "DEPARA: Deep Attribution Graph for Deep Knowledge Transferability", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral)
  6. [CVPR'20] T Zhou, C Ding, S Lin, X. Wang, D Tao, "Learning Oracle Attention for High-fidelity Face Completion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  7. [CVPR'20] J Ye, Y Ji, X. Wang, X Gao, M Song, "Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  8. [IJCV'20] L Lan, X. Wang, G Hua, TS Huang, D Tao, "Semi-online Multi-people Tracking by Re-identification", International Journal of Computer Vision (IJCV), 2020.
  9. [AAAI'20] M Qiao, J Yu, T Liu, X. Wang, D Tao, "Diversified Bayesian Nonnegative Matrix Factorization", AAAI Conference on Artificial Intelligence (AAAI), 2020.
  10. [AAAI'20] Y Zhao, R Xu, X. Wang, P Hou, H Tang, M Song, "Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers", AAAI Conference on Artificial Intelligence (AAAI), 2020.
  11. [AAA'20] Y Jing, X Liu, Y Ding, X Wang, E Ding, M Song, S Wen, "Dynamic Instance Normalization for Arbitrary Style Transfer", AAAI Conference on Artificial Intelligence (AAAI), 2020.
  12. [TIP'20] Y Zhang, X Tian, Y Li, X. Wang, D Tao, "Principal Component Adversarial Example", IEEE Transactions on Image Processing (TIP).
  13. [TIP'20] C Zhou, C Ding, X. Wang, Z Lu, D Tao, "One-pass multi-task networks with cross-task guided attention for brain tumor segmentation", IEEE Transactions on Image Processing (TIP).
  14. [TPAMI'19] J. Qiu, X. Wang, P. Fua, D. Tao, "Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
  15. [NeurIPS'19] J. Song, Y. Chen, X. Wang, C. Shen, M. Song, "Deep Model Transferability from Attribution Maps", Neural Information Processing Systems (NeurIPS), 2019.
  16. [ICCV'19] J. Wang, S. Huang, X. Wang, D. Tao, "Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-directional Dependencies of Body Parts", International Conference on Computer Vision (ICCV), 2019. (oral, acceptance rate = 4.3%)
  17. [ICCV'19] C. Shen, M. Xue, X. Wang, J. Song, L. Sun, M. Song, "Customizing Student Networks from Heterogeneous Teachers via Adaptive Knowledge Amalgamation", International Conference on Computer Vision (ICCV), 2019.
  18. [IJCAI'19] Y. Yang, X. Wang, M. Song, J. Yuan, D. Tao, "SPAGAN: Shortest Path Graph Attention Network", International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  19. [IJCAI'19] J. Ye, X. Wang, Y. Ji, K. Ou, M. Song, "Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers", International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  20. [IJCAI'19] S. Luo, X. Wang, G. Fang, Y. Hu, D. Tao, M. Song, "Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning", International Joint Conference on Artificial Intelligence (IJCAI), 2019.
  21. [CVPR'19] J. Qiu, X. Wang, S. Maybank, D. Tao, "World from Blur", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  22. [CVPR'19] J. Ye, Y. Ji, X. Wang, K. Ou, D. Tao, M. Song, "Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  23. [AAAI'19] C. Shen, X. Wang, J. Song, L. Sun, M. Song, “Amalgamating Knowledge towards Comprehensive Classification”, AAAI Conference on Artificial Intelligence (AAAI), 2019.
  24. [AAAI'19] Y. Fu, Y. Wei, Y. Zhou H. Shi, G. Huang, X. Wang, Z. Yao, T. Huang, "Horizontal Pyramid Matching for Person Re-identification", AAAI Conference on Artificial Intelligence (AAAI), 2019.
  25. [TIP'19] B. Fan, Q. Kong, X. Wang, Z. Wang, S. Xiang, C. Pan, P. Fua, “A Performance Evaluation of Local Features for Image-Based 3D Reconstruction”, IEEE Transactions on Image Processing (TIP), 2019.
  26. [TIP'19] J. Ye, Y. Jing, X. Wang, K. Ou, D. Tao, M. Song, "Edge-Sensitive Human Cutout with Hierarchical Granularity and Loopy Matting Guidance", IEEE Transactions on Image Processing (TIP), 2019.
  27. [NeurIPS'18] Z. Feng, X. Wang, C. Ke, A. Zeng, D. Tao, M. Song, "Dual Swap Disentangling", Neural Information Processing Systems (NeurIPS), 2018. [PDF] [Code]
  28. [ECCV'18] X. Yin, X. Wang, J. Yu, M. Zhang, P. Fua, D. Tao, "FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification", European Conference on Computer Vision (ECCV), 2018. [PDF] [Code]
  29. [CVPR'18] F. Wang, L. Zhao, X. Li, X. Wang, D. Tao, "Geometry-Aware Scene Text Detection with Instance Transformation Network", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]
  30. [MICCAI'18] C. Zhou, C. Ding, Z. Lu, X. Wang, D. Tao, "One-pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation", Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018 [PDF]
  31. [TIP'18] L. Lan, X. Wang, S. Zhang, D. Tao, W. Gao, T. Huang, "Interacting Tracklets for Multi-object Tracking", IEEE Transactions on Image Processing (TIP), 2018. [PDF]
  32. [TIP'18] D. Liu, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, X. Wang, T. Huang, "Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach", IEEE Transactions on Image Processing (TIP), 2018. [PDF]
  33. [TNNLS'18] X. Tian, Y. Li, T. Liu, X. Wang, D. Tao, "Eigenfunction-Based Multi-Task Learning in a Reproducing Kernel Hilbert Space", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. [PDF]
  34. [CVPR'17] X. Yu, T. Liu, X. Wang, D. Tao, "On Compressing Deep Models by Low Rank and Sparse Decomposition", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (spotlight oral, acceptance rate = 8.0%). [PDF]
  35. [ICCV'17] A. Maksai, X. Wang, F. Fleuret, P. Fua, "Globally consistent multi-people tracking using motion patterns", IEEE International Conference on Computer Vision (ICCV), 2017. [PDF] [Code]
  36. [TIP'17] X. Wang, B. Fan, S. Chang, Z. Wang, X. Liu, D. Tao, T. Huang, "Greedy Batch-based Minimum-cost Flows for Tracking Multiple Objects", IEEE Transactions on Image Processing (TIP), 2017. [PDF] [Code]
  37. [TMI'17] X. Wang*, E. Türetken*, C. Becker, C. Haubold, P. Fua, "Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences", IEEE Transactions on Medical Imaging (TMI), 2017. [PDF] [Project] [Code]
  38. [CVPR'16] A. Maksai, X. Wang, P. Fua, "What Players do with the Ball: A Physically Constrained Interaction Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (spotlight oral, acceptance rate = 9.6%) [PDF] [Project] [Code]
  39. [TPAMI'16] X. Wang, E. Türetken, F. Fleuret, P. Fua, "Tracking Interacting Objects Using Intertwined Flows", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016. [PDF] [Project] [Code] [Datasets]