I am a research scientist at Meta's Generative AI team. I now mainly work on text-to-image foundation models, and previously on depth estimation, on-device computer vision and human perception-inspired computer vision. Prior to Meta, I obtained my Ph.D. in CS at Harvard University advised by Prof. Todd Zickler and my B.A.Sc at the University of Toronto.
📩 Email: jialiang.wang at alumni.harvard.edu
💻 Publications
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
X. Dai∗, J. Hou∗, CY Ma∗, S Tsai∗, J. Wang∗, R. Wang∗, P. Zhang∗, S. Vandenhende, X. Wang, A. Dubey, M. Yu, A. Kadian, F. Radenovic, D. Mahajan, K. Li, Y. Zhao, V. Petrovic, M. K. Singh, S. Motwani, Y. Wen, Y. Song, R. Sumbaly†, V. Ramanathan†, Z. He†, P. Vajda†, D. Parikh†
arXiv, 2023
∗: Equal contribution: alphabetical order
†: joint last authorsNeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View Indoor 3D Object Detection
C. Xu, B. Wu, J. Hou, S. Tsai, R. Li, J. Wang, W. Zhan, Z. He, P. Vajda, K. Keutzer, M. Tomizuka
ICCV, 2023A Practical Stereo Depth System for Smart Glasses
J. Wang, D. Scharstein, A. Bapat, K. Blackburn-Matzen, M. Yu, J. Lehman, S. Alsisan, Y. Wang, S. Tsai, JM Frahm, Z. He, P. Vajda, M. F. Cohen, M. Uyttendaele
CVPR, 2023Consistent Direct Time-of-Flight Video Depth Super-Resolution
Z. Sun, W. Ye, J. Xiong, G. Choe, J. Wang, S. Su, R. Ranjan
CVPR, 2023Toward practical monocular indoor depth estimation
CY Wu, J. Wang, M. Hall, U. Neumann, S. Su
CVPR, 2022FBNetV5: Neural architecture search for multiple tasks in one run
B. Wu, C. Li, H. Zhang, X. Dai, P. Zhang, M. Yu, J. Wang, Y. Lin and P. Vajda
arXiv, 2021Level set binocular stereo with occlusions
J. Wang, T. Zickler
arXiv, 2021Level set stereo for cooperative grouping with occlusion
J. Wang, T. Zickler
ICIP, 2021A lighting-invariant point processing for shading
K. Heal, J. Wang, S. J. Gortler, T. Zickler
CVPR, 2020Interpreting robust optimization via adversarial influence functions
Z. Deng, C. Dwork, J. Wang, L. Zhang
alphabetical order
ICML, 2020Improving deep stereo network generalization with geometric priors
J. Wang, V. Jampani, D. Sun, C. Loop, S. Birchfield, J. Kautz
arXiv, 2020Local detection of stereo occlusion boundaries
J. Wang, T. Zickler
CVPR, 2019Toward perceptually-consistent stereo: A scanline study
J. Wang, D.Glasner, T. Zickler
ICCV, 2017
📃 Patents
Wang, J., et al. "Distance determinations using one or more neural networks."
U.S. Patent Application No. 16/852,944
⌨️ Service
Reviewer: CVPR'20-24, NeurIPS'20-23, ICML'21-23, ICCV 21,23, ICLR'21-22, BMVC'20, ACCV'20, WACV'21-22, ECCV'22