Wen-Sheng Chu

Research Scientist

Google Research

Biography

I am a Senior Staff Research Scientist at Google, where I lead a team of scientists and engineers in developing and deploying production-level computer vision and machine learning models. Our work includes the development of perception and generative models for Google’s Face Unlock feature, from its first launch on Pixel 4 (2019) with NIR sensors, and evolving to commodity RGB sensors across all classes of Pixel devices, including Pixel 7 (2022), Pixel Fold & 7a and Pixel 8 (2023), Pixel 8a and 9 Series (2024), Pixel 9a (2025).

Prior to Google, I was a Deep Learning Scientist at Apple, where I played a key role in developing on-device models for several products, including Apple’s first Face ID for iPhone X and iPad Pro (2017), as well as real-time camera features deployed on subsequent iPhones (2018). Before Apple, I was a research staff at the Robotics Institute at Carnegie Mellon University from Aug 2010–2013, and received my Ph.D. from the same institute in Jan 2017.

I have (co-)authored over 40 publications in leading CV/ML conferences and journals. I led the early development of IntraFace, an automated face analysis software that received the Best Demo Award in IEEE Conference on Automatic Face and Gesture Recognition (AFGR) in 2015. A spinoff of IntraFace, FacioMetrics, was later acquired by Facebook in Nov 2016. I continue to contribute to the academic community by serving as an Area Chair on conferences such as AFGR, ACCV, and ICMI.

Interests

Machine Learning
Computer Vision
On-device AI

Education

Ph.D. in Robotics

Carnegie Mellon University
B.S. in Computer Science

National Cheng Kung University

Recent Publications

More Publications

Lan Wang, Yujia Chen, Du Tran, Vishnu Boddeti, Wen-Sheng Chu. SEAL: SEmantic Attention Learning for Long Video Representation. In CVPR, 2025. (Oral, acceptance rate 0.7%)

Paper Project

Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu. RB-Modulation: Training-Free Stylization using Reference-Based Modulation. In ICLR, 2025. (Oral, acceptance rate 1.8%)

Paper Code Project Demo

Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu. Semantic Image Inversion and Editing using Stochastic Rectified Differential Equations. In ICLR, 2025.

Paper Project Tweet ComfyUI

Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu. Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. In CVPR, 2024.

Paper Code Project Tweet

Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid, Wen-Sheng Chu, Yang Liu, Abhishek Kumar. Distributionally Robust Post-hoc Classifiers under Prior Shifts. In ICLR, 2023.

Paper Code

Interns / Students

Interns

Lan Wang (MSU/Vishnu Boddeti), 2024.
Ziqian Lin (UW-Madison/Kangwook Lee), 2024, next Research Scientist at Google.
Shengjie Zhu (MSU/Xiaoming Liu), 2024, next Applied Scientist at Amazon.
Manli Shu (UMD/Tom Goldstein), 2023, next Researcher at Salesforce AI Research.
Yiyou Sun (UW-Madison/Sharon Li), 2022, next Post-doc at UC Berkeley.
Giannis Daras (UT Austin/Alexandros Dimakis), 2021, next Post-doc at MIT CSAIL.
Jason Chong (UIUC/David Froysth), 2020, next Researcher at ByteDance AI Research.
Shlok Mishra (UMD/David Jacobs), 2020, next Research Scientist at Meta AI.

Students

Litu Rout (UT Austin/Sanjay Shakkottai), 2023.
Esther Robb (Virginia Tech/Jia-Bin Huang), 2019, next PhD student at Stanford.
Jaymo Kang (UC Berkeley), 2018, next Soft Engineer at Nines.

Services

Area Chair

Asian Conference on Computer Vision (ACCV), 2024
IEEE Conference on Automatic Face and Gesture Recognition (AFGR), 2023, 2025
ACM International Conference on Multimodal Interaction (ICMI), 2020
ACM International Conference on Multimodal Interaction (ICMI), 2019
IEEE Conference on Automatic Face and Gesture Recognition (AFGR), 2019
IEEE Conference on Automatic Face and Gesture Recognition (AFGR), 2018

Organizing Committee

ICMI 2021 (Sponsorship Chair)

Conference Review

Computer Vision and Pattern Recognition (CVPR), 2014–present
International Conference on Computer Vision (ICCV), 2015–present
European Conference on Computer Vision (ECCV), 2012–present
Neural Information Processing Systems (NeurIPS), 2019–present
Automatic Face and Gesture Recognition (AFGR), 2015–present
Asian Conference on Compute Vision (ACCV), 2012–2014, 2024
AAAI Conference on Artificial Intelligence (AAAI), 2016–2022
International Conference on Multimodal Interaction (ICMI), 2018–2020
Affective Computing and Intelligent Interaction (ACII), 2015

Journal Review

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
Journal of Computer Vision and Image Understanding (CVIU)
Journal of Image and Vision Computing (IVC)
IEEE Transactions on Affective Computing (TAFFC)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Systems, Man, and Cybernetics, Part B
IEEE Transactions on Computational Imaging
IEEE Transactions on Emerging Topics in Computing
IEEE Signal Processing Magazine
IEEE Signal Processing Letters
Journal of Machine Vision and Applications
Journal of Neurocomputing
Journal of Knowledge and Information Systems
Journal of Pattern Recognition and Artificial Intelligence

Awards

Best Demo Award: AFGR 2015.
Outstanding Reviewer: ECCV 2016, AFGR 2015, ACCV 2012.
Doctoral Consortium: ICCV 2015, ACII 2015.
Best Paper Award: IPPR Conf. on Computer Vision, Graphics & Image Processing 2007.

Contact

wschu@google.com