Follow
Hsiao-Yu (Fish) Tung
Hsiao-Yu (Fish) Tung
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Self-supervised learning of motion capture
HY Tung, HW Tung, E Yumer, K Fragkiadaki
Advances in neural information processing systems 30, 2017
3432017
Generative models and model criticism via optimized maximum mean discrepancy
DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ...
arXiv preprint arXiv:1611.04488, 2016
2142016
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
HYF Tung, AW Harley, W Seto, K Fragkiadaki
2017 IEEE International Conference on Computer Vision (ICCV), 4364-4372, 2017
1622017
Fast and guaranteed tensor decomposition via sketching
Y Wang, HY Tung, AJ Smola, A Anandkumar
Advances in neural information processing systems 28, 2015
1512015
Soumyajit De, Aaditya Ramdas, Alex Smola, and Arthur Gretton. Generative models and model criticism via optimized maximum mean discrepancy
DJ Sutherland, HY Tung, H Strathmann
arXiv preprint arXiv:1611.04488 2, 2016
1292016
Learning spatial common sense with geometry-aware recurrent networks
HYF Tung, R Cheng, K Fragkiadaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
762019
Physion: Evaluating physical prediction from vision in humans and machines
DM Bear, E Wang, D Mrowca, FJ Binder, HYF Tung, RT Pramod, ...
arXiv preprint arXiv:2106.08261, 2021
612021
Effective string processing and matching for author disambiguation
WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ...
Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013
432013
Reward learning from narrated demonstrations
HY Tung, AW Harley, LK Huang, K Fragkiadaki
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
402018
Fluidlab: A differentiable environment for benchmarking complex fluid manipulation
Z Xian, B Zhu, Z Xu, HY Tung, A Torralba, K Fragkiadaki, C Gan
arXiv preprint arXiv:2303.02346, 2023
312023
Learning from unlabelled videos using contrastive predictive neural 3d mapping
AW Harley, SK Lakshmikanth, F Li, X Zhou, HYF Tung, K Fragkiadaki
arXiv preprint arXiv:1906.03764, 2019
29*2019
Adversarial inverse graphics networks: Learning 2D-to-3D lifting and image-to-image translation from unpaired supervision
HY Fish Tung, AW Harley, W Seto, K Fragkiadaki
Proceedings of the IEEE International Conference on Computer Vision, 4354-4362, 2017
26*2017
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
HY Fish Tung, Z Xian, M Prabhudesai, S Lal, K Fragkiadaki
Conference on Robot Learning (CoRL) 2020, arXiv: 2011.06464, 2020
25*2020
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013
CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ...
Proceedings of the 2013 KDD Cup 2013 Workshop, 1-7, 2013
252013
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Z Xian, S Lal, HY Tung, EA Platanios, K Fragkiadaki
International Conference on Learning Representations (ICLR) 2021, 2021
202021
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
M Prabhudesai, S Lal, D Patil, HY Tung, AW Harley, K Fragkiadaki
International Conference on Learning Representations (ICLR) 2021, 2020
182020
Spectral methods for indian buffet process inference
HY Tung, AJ Smola
Advances in Neural Information Processing Systems 27, 2014
172014
Embodied language grounding with 3d visual feature representations
M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
162020
Embodied language grounding with implicit 3d visual feature representations
M Prabhudesai, HYF Tung, SA Javed, M Sieb, AW Harley, K Fragkiadaki
102019
Novel traffic signal timing adjustment strategy based on genetic algorithm
HY Tung, WC Ma, TL Yu
2014 IEEE Congress on Evolutionary Computation (CEC), 2353-2360, 2014
102014
The system can't perform the operation now. Try again later.
Articles 1–20