Education
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PhD candidate in Computer Science, Harvard University, 05/2021
- Advisor: Prof. Todd Zickler
- Research areas: computer vision, human perception, machine learning
- Master of Science in Computer Science, Harvard University, 05/2018
- Bachelor of Applied Science in Electrical and Computer Engineering, University of Toronto, 06/2015
My first name is pronounced as Jah-Leon.
Projects and Publications
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Perceptually-consistent boundaries and shape from stereo occlusions
Jialiang Wang
PhD dissertation, Harvard University, 2021
[Harvard Dash] -
Level set stereo for cooperative grouping with occlusion
Jialiang Wang, Todd Zickler
International Conference on Image Processing (ICIP), 2021
[arXiv] -
A lighting-invariant point processor for shading
Kathryn Heal, Jialiang Wang, Steven J Gortler, Todd Zickler
Computer Vision and Pattern Recognition (CVPR), 2020
[supplement][CVPR oral video] -
Interpreting robust optimization via adversarial influence functions
Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang
International Conference on Machine Learning (ICML), 2020
[ICML oral video] -
Improving deep stereo network generalization with geometric priors
Jialiang Wang, Varun Jampani, Deqing Sun, Charles Loop, Stan Birchfield, Jan Kautz
arXiv, 2020
[arXiv] -
Local detection of stereo occlusion boundaries
Jialiang Wang, Todd Zickler
Computer Vision and Pattern Recognition (CVPR), 2019.
[data][poster][project page] -
Toward perceptually-consistent stereo: A scanline study
Jialiang Wang, Daniel Glasner, Todd Zickler
International Conference on Computer Vision (ICCV), 2017.
[data][poster][project page]
Short tech reports and abstracts:
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J. Wang, T. Zickler, A computational model for local stereo occlusion boundary detection, J. of Vis. VSS Abstract, 2019 [poster]
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J. Wang, D. Glasner, T. Zickler, Half-occlusion boundary detectors in computational stereo vision, J. of Vis. VSS Abstract, 2018 [slides]
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J. Wang, D. Glasner, T. Zickler, A dynamic programming algorithm for perceptually-consistent stereo, Tech Report, 2017
Internships
- Part-time student researcher, Facebook Reality Labs, Cambridge, MA (remote), 09/2020 - 01/2021
- Research Intern, Facebook AR/VR, Core AI, Seattle, WA (remote), 06-09/2020
- Research Intern, NVIDIA Research, Learning and Perception Research, Westford, MA, 03-08/2019
- Software Intern, Altera (now Intel FPGA), San Jose, CA, 05-08/2013.
Teaching
- Teaching Fellow for ES143 Computer Vision - Harvard University (Fall 2020)
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Teaching Fellow for CS175 Computer Graphics - Harvard University (Fall 2016 and Fall 2017)
- Harvard University Certificate of Distinction in Teaching Award (04/2017)
- Guest Tutorial on SVM and classification: CSC 420 Introduction to Image Understanding - University of Toronto (Fall 2014)
Services
Reviewer: CVPR 20-21, ICCV 21, NeurIPS 20-21, ICML 21, BMVC 20, ACCV 20