Hsiao-Yu Tung

Joined

December 2017

Names

Hsiao-Yu Tung (Preferred)

Hsiao-Yu Fish Tung

Emails

****@gmail.com (Confirmed)

****@cs.cmu.edu (Confirmed)

****@andrew.cmu.edu (Confirmed)

****@mit.edu

Personal Links

DBLP

Career & Education History

Postdoc

Massachusetts Institute of Technology (mit.edu)

2021 – 2022

PhD student

Carnegie Mellon University (cmu.edu)

2015 – 2021

PhD student

School of Computer Science, Carnegie Mellon University (cs.cmu.edu)

2015 – 2020

Advisors, Relations & Conflicts

Postdoc Advisor

Josh Tenenbaum

2021 – Present

Postdoc Advisor

Dan Yamins

2021 – Present

PhD Advisor

Katerina Fragkiadaki

2016 – 2021

PhD Advisor

Alex Smola

2013 – 2015

Expertise

No areas of expertise listed

Publications

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel LK Yamins, Yunzhu Li, Hsiao-Yu Tung
- NeurIPS 2023 poster
- Readers: Everyone
3D-IntPhys: Learning 3D Visual Intuitive Physics for Fluids, Rigid Bodies, and Granular Materials
Haotian Xue, Antonio Torralba, Daniel LK Yamins, Joshua B. Tenenbaum, Yunzhu Li, Hsiao-Yu Tung
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views
Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G Atkeson, Katerina Fragkiadaki
- Published: 13 Sept 2021, Last Modified: 05 May 2023
- CoRL2021 Poster
- Readers: Everyone
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel Bear, Elias Wang, Damian Mrowca, Felix Jedidja Binder, Hsiao-Yu Tung, RT Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel LK Yamins, Judith E Fan
- Published: 29 Jul 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Datasets and Benchmarks Track (Round 1)
- Readers: Everyone
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W Harley, Katerina Fragkiadaki
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
Reward Learning From Narrated Demonstrations
Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki
- 2018 (modified: 10 Nov 2022)
- CVPR 2018
- Readers: Everyone
Self-supervised Learning of Motion Capture
Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
- 2017 (modified: 10 Nov 2022)
- ICCV 2017
- Readers: Everyone
Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Anima Anandkumar
- 2015 (modified: 11 Nov 2022)
- NIPS 2015
- Readers: Everyone

View all 13 publications

Co-Authors

View all 59 co-authors