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

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

  • Ph.D., Computer Science, École polytechnique fédérale de Lausanne (EPFL)
    • July 2015
    • Supervisor: Prof. Pascal Fua
  • B.Sc. (Hon.), Computing, the Hong Kong Polytechnic University (HKPU)
    • November 2010
    • Supervisor: Prof. Zhu Li and Prof. Dacheng Tao

Oral Presentations

  • [CVPR 2017] by me, Spotlight Oral presentation on compressing DNNs. (acceptance rate = 8.0%)
  • [CVPR 2016] by my collaborator Andrii Maksai, Spotlight Oral presentations on tracking the ball in team sports. (acceptance rate = 9.6%)
  • [ECCV 2014] by me, Oral presentation on tracking interacting objects. (acceptance rate = 2.6%)

Code

  • Wide Activation and Weight Normalization for Image Super-Resolution (Winner of CVPR 2018 NTIRE) [Link]
  • Geometry-aware text detection (CVPR 2018) [link]
  • Tracking Dividing Cells (TMI 2017) [Link]
  • Tracking Multiple Targets with Global Motions (ICCV 2017) [Link]
  • Batch-based Tracking (TIP 2017) [Link]
  • Two-Stage Residual Networks for Image Super Resolution (CVPR 2017 NTIRE) [Link]
  • Anti-Sparse Hashing (BMVC 2017) [Link]
  • Traffic Object Detection (AI City Challenge 2017) [Link]
  • GRP-DSOD Detector (ArXiv 2017) [Link]
  • Tracking Ball in Team Sports (CVPR 2016) [Link]
  • Intertwined Flows (TPAMI 2016) [Link]
  • Tracking Interacting Objects (ECCV 2014) [Link]

Press

I contributed to the prototype of some commercial software being deployed by NBA and covered by various media outlets.

Team

Teaching

  • CS 559, Machine Learning Fundamentals and Applications, Spring 2018, Stevens Institute of Technology

Service

  • Area Chair:
    • IEEE International Conference on Multimedia and Expo (ICME), 2019
  • Senior Program Committee:
    • AAAI Conference on Artificial Intelligence (AAAI), 2019
  • Associate Editor:
    • Journal of Visual Communication and Image Representation (JVCI)
  • Program Committee:
    • Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2018, 2019
    • European Conference on Computer (ECCV), 2018
    • International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2018
    • ACM Multimedia (MM), 2017, 2018
    • AAAI Conference on Artificial Intelligence (AAAI), 2017
  • 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

NIPS'18

Z. Feng, X. Wang, C. Ke, A. Zeng, D. Tao, and M. Song,

"Dual Swap Disentangling",

Neural Information Processing Systems (NIPS), 2018. [PDF] [Code]



ECCV'18

X. Yin, X. Wang, J. Yu, M. Zhang, P. Fua, and D. Tao,

"FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification",

European Conference on Computer Vision (ECCV), 2018. [PDF] [Code]

CVPR'18

F. Wang, L. Zhao, X. Li, X. Wang, and D. Tao,

"Geometry-Aware Scene Text Detection with Instance Transformation Network",

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

MICCAI'18

C. Zhou, C. Ding, Z. Lu, X. Wang, and D. Tao,

"One-pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation",

Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018 [PDF]


TIP'18

L. Lan, X. Wang, S. Zhang, D. Tao, W. Gao, and T. Huang,

"Interacting Tracklets for Multi-object Tracking",

IEEE Transactions on Image Processing (TIP), 2018. [PDF]

TIP'18

D. Liu, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, X. Wang, and T. Huang,

"Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach",

IEEE Transactions on Image Processing (TIP), 2018. [PDF]

TNNLS'18

X. Tian, Y. Li, T. Liu, X. Wang and D. Tao,

"Eigenfunction-Based Multi-Task Learning in a Reproducing Kernel Hilbert Space",

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. [PDF]


CVPR'17

X. Yu, T. Liu, X. Wang and 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]

ICCV'17

A. Maksai, X. Wang, F. Fleuret, and P. Fua,

"Globally consistent multi-people tracking using motion patterns",

IEEE International Conference on Computer Vision (ICCV), 2017. [PDF] [Code]


TIP'17

X. Wang, B. Fan, S. Chang, Z. Wang, X. Liu, D. Tao and T. Huang,

"Greedy Batch-based Minimum-cost Flows for Tracking Multiple Objects",

IEEE Transactions on Image Processing (TIP), 2017. [PDF] [Code]


TMI'17

X. Wang*, E. Türetken*, C. Becker, C. Haubold and P. Fua,

"Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences",

IEEE Transactions on Medical Imaging (TMI), 2017. [PDF] [Project] [Code]

CVPR'16

A. Maksai, X. Wang and 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]

TPAMI'16

X. Wang, E. Türetken, F. Fleuret and P. Fua,

"Tracking Interacting Objects Using Intertwined Flows",

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016. [PDF] [Project] [Code] [Datasets]

ECCV'14

X. Wang, E. Türetken, F. Fleuret and P. Fua,

"Tracking Interacting Objects Optimally Using Integer Programming",

European Conference on Computer Vision (ECCV), 2014. (oral, acceptance rate = 2.6%) [PDF] [Talk] [Project] [Code]

CVIU'14

X. Wang, V. H. Ablavsky, H. Ben Shitrit and P. Fua,

"Take your Eyes of the Ball: Improving Ball-Tracking by Focusing on Team Play",

Computer Vision and Image Understanding (CVIU), 2014. [PDF][Project][Game]

TIP'13

X. Wang, W. Bian and D. Tao,

"Grassmannian Regularized Structured Multi-View Embedding for Image Classification",

IEEE Transactions on Image Processing (TIP), 2013. [PDF]