Xinchao Wang

Assistant Professor

Department of Electrical and Computer Enigneering

National University of Singapore

xinchao-at-nus.edu.sg

Singapore

Assistant Professor

Department of Computer Science

Stevens Institute of Technology

xinchao.wang-at-stevens.edu

Hoboken, New Jersey 07030

United States

Simplicity is the final achievement. --- Frederic Chopin

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

News

Last Updated July 2021

  • [Jul. 2021] Four papers accepted by ICCV'21.

  • [July 13, 2021] My first PhD student, Mr Yiding Yang defended his thesis. Congratulations Dr Yang!

  • [May. 2021] Three papers accepted by IJCAI'21.

  • [Apr. 2021] Serving as an Area Chair for CVPR'22.

  • [Apr. 2021] Serving as an Area Chair for NeurIPS'21.

  • [Apr. 2021] I am very happy to receive the Stevens Outstanding Teaching Recognition, for the second time.

  • [Mar. 2021] Invited talk at Brandeis University.

  • [Mar. 2021] One paper accepted by TKDE.

  • [Feb. 2021] Seven papers accepted by CVPR'21.

  • [Jan. 2021] Congratulations to my PhD student, Mr Yiding Yang, for passing his thesis proposal.

  • [Jan. 2021] Invited talk at University of Copenhagen.

  • [Dec. 2020] One paper accepted by TIP.

  • [Dec. 2020] Five papers accepted by AAAI'21.

  • [Nov. 2020] Serving as an Area Chair of ICCV'21.

  • [Oct. 2020] Invited talk at Rice University

  • [Sep. 2020] Two papers accepted by NeurIPS'20.

  • [Aug. 2020] Invited talk at National University of Singapore

  • [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.

  • [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 Department of ECE, National University of Singapore (NUS). Before joining NUS, I was an assistant professor in the Department of CS, 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.

[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

    • Full GPA (4.0/4.0), the most outstanding thesis award

Selected Press

Teaching

  • Outstanding Teaching Recognition (Stevens Institute of Technology), Fall 2020.

  • Outstanding Teaching Recognition (Stevens Institute of Technology), Fall 2019.

  • CS 559, Machine Learning Fundamentals and Applications (Spring/Fall 2018, 2019, 2020), Stevens Institute of Technology

  • CS 558, Computer Vision (Spring 2019, 2020), Stevens Institute of Technology

Service

  • Area Chair:

    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022

    • IEEE International Conference on Computer Vision (ICCV), 2021

    • Neural Information Processing Systems (NeurIPS), 2021

    • IEEE International Conference on Multimedia and Expo (ICME), 2019

    • IEEE International Conference on Image Processing (ICIP), 2019, 2020, 2021

  • Senior Program Committee:

    • AAAI Conference on Artificial Intelligence (AAAI), 2019

    • International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2020, 2021

  • 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 Learning Representations (ICLR), 2021

    • International Conference on Machine Learning (ICML), 2021

    • 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 2021


  1. [ICCV'21] S. Huang, X. Wang, and D. Tao “Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition”, International Conference on Computer Vision (ICCV), 2021.

  2. [ICCV'21] Y Chen, F. Mao, J. Song, X. Wang, H. Wang, and M. Song “Self-born Wiring for Neural Trees”, International Conference on Computer Vision (ICCV), 2021.

  3. [ICCV'21] Y Jing, Y. Yang, X. Wang, M. Song, and D. Tao “Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks”, International Conference on Computer Vision (ICCV), 2021.

  4. [ICCV'21] Z. Feng, Z. Wang, X. Wang, Y. Mao, T. Li, J. Lei, Y. Wang, and M. Song “Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image”, International Conference on Computer Vision (ICCV), 2021.

  5. [IJCAI'21] G. Fang, J. Song, X. Wang, C. Shen, X. Wang, and M. Song, “Contrastive Model Inversion for Data-Free Knowledge Distillation”, International Joint Conference on Artificial Intelligence (IJCAI), 2021.

  6. [IJCAI'21] M. Xue, J. Song, X. Wang, Y. Chen, X. Wang, and M. Song, “KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation”, International Joint Conference on Artificial Intelligence (IJCAI), 2021.

  7. [IJCAI'21] L. Cheng, Z. Feng, X. Wang, Y. Liu, J. Lei, and M. Song, “Boundary Knowledge Translation based Reference Semantic Segmentation”, International Joint Conference on Artificial Intelligence (IJCAI), 2021.

  8. [CVPR'21] Y. Yang, Z. Ren, H. Li, C. Zhou, X. Wang, and G. Hua, “Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  9. [CVPR'21] J. Qiu, Y. Yang, X. Wang, and D. Tao, “Scene Essence”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  10. [CVPR'21] Y. Jing, Y. Yang, X. Wang, M. Song, and D. Tao, “Turning Frequency to Resolution: Video Super-resolution via Event Cameras”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  11. [CVPR'21] Y. Jing, Y. Yang, X. Wang, M. Song, and D. Tao, “Amalgamating Knowledge from Heterogeneous Graph Neural Networks”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  12. [CVPR'21] S. Guo, J. Wang, X. Wang, and D. Tao, “Online Multiple Object Tracking with Cross-Task Synergy”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  13. [CVPR'21] C. Shen, Y. Yin, X. Wang, X. Li, J. Song, and M. Song, “Training Generative Adversarial Networks in One Stage”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  14. [CVPR'21] J. Song, H. Zhang, X. Wang, M. Xue, Y. Chen, L. Sun, D. Tao, and M. Song “Tree-like Decision Distillation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  15. [AAAI'21] H. Liu, Y. Yang, and X. Wang, “Overcoming Catastrophic Forgetting in Graph Neural Networks”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

  16. [AAAI'21] S. Huang, X. Wang, and D. Tao, “SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

  17. [AAAI'21] C. Shen, X. Wang, Y. Yin, J. Song, S. Luo, and M. Song, “Progressive Network Grafting for Few-Shot Knowledge Distillation”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

  18. [AAAI'21] Z. Feng, L. Cheng, X. Wang, X. Wang, Y. Liu, X. Du, and M. Song, “Visual Boundary Knowledge Translation for Foreground Segmentation”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

  19. [AAAI'21] Z. Feng, Z. Wang, X. Wang, X. Zhang, L. Cheng, J. Lei, Y. Wang, and M. Song, “Edge-competing Pathological Liver Vessel Segmentation with Limited Labels”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

  20. [TPAMI'21] 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), 2021.

  21. [TKDE'21] Y. Hao and X. Wang and X. Wang and X. Wang and C. Chen and M. Song, “Walking with Attention: Self-guided Walking for Heterogeneous Graph Embedding”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.

  22. [TIP'21] W. Ren, X. Wang, J. Tian, Y. Tang, and A. Chan, “Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets”, IEEE Transactions on Image Processing (TIP), 2021.

  23. [NeurIPS'20] Y. Yang, Z. Feng, M. Song, and X. Wang, “Factorizable Graph Convolutional Networks”, Neural Information Processing Systems (NeurIPS), 2020.

  24. [NeurIPS'20] Z. Feng, Y. He, X. Wang, X. Gao, J. Lei, C. Jin, and M. Song “One-sample Guided Object Representation Disassembling”, Neural Information Processing Systems (NeurIPS), 2020.

  25. [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.

  26. [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 Oral)

  27. [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.

  28. [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.

  29. [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)

  30. [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.

  31. [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.

  32. [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.

  33. [AAAI'20] M Qiao, J Yu, T Liu, X. Wang, D Tao, "Diversified Bayesian Nonnegative Matrix Factorization", AAAI Conference on Artificial Intelligence (AAAI), 2020.

  34. [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.

  35. [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. (Oral)

  36. [TIP'20] Y Zhang, X Tian, Y Li, X. Wang, D Tao, "Principal Component Adversarial Example", IEEE Transactions on Image Processing (TIP).

  37. [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).

  38. [NeurIPS'19] J. Song, Y. Chen, X. Wang, C. Shen, M. Song, "Deep Model Transferability from Attribution Maps", Neural Information Processing Systems (NeurIPS), 2019.

  39. [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)

  40. [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.

  41. [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.

  42. [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.

  43. [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.

  44. [CVPR'19] J. Qiu, X. Wang, S. Maybank, D. Tao, "World from Blur", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  45. [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.

  46. [AAAI'19] C. Shen, X. Wang, J. Song, L. Sun, M. Song, “Amalgamating Knowledge towards Comprehensive Classification”, AAAI Conference on Artificial Intelligence (AAAI), 2019.

  47. [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.

  48. [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.

  49. [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.

  50. [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]

  51. [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]

  52. [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]

  53. [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]

  54. [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]

  55. [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]

  56. [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]

  57. [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). [PDF]

  58. [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]

  59. [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]

  60. [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]

  61. [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) [PDF] [Project] [Code]

  62. [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]