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Hsiao-Yu Fish Tung
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2020 – today
- 2023
- [c24]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops 2023: 3625-3635 - [c23]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR 2023 - [c22]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA 2023: 7272-7278 - [c21]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS 2023 - [c20]Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS 2023 - [c19]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems 2023 - [i19]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR abs/2303.02346 (2023) - [i18]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR abs/2303.06034 (2023) - [i17]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR abs/2304.11470 (2023) - [i16]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR abs/2306.15668 (2023) - [i15]Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr:
3D View Prediction Models of the Dorsal Visual Stream. CoRR abs/2309.01782 (2023) - 2022
- [b1]Hsiao-Yu Fish Tung:
Learning to See by Moving: Self-supervising 3D Scene Representations for Perception, Control, and Visual Reasoning. Carnegie Mellon University, USA, 2022 - [i14]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR abs/2210.12521 (2022) - 2021
- [c18]Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki:
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views. CoRL 2021: 695-705 - [c17]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. ICLR 2021 - [c16]Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki:
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. ICLR 2021 - [c15]Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 2021 - [i13]Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki:
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. CoRR abs/2103.09439 (2021) - 2020
- [c14]Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRL 2020: 1669-1683 - [c13]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops 2020: 1567-1570 - [c12]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding With 3D Visual Feature Representations. CVPR 2020: 2217-2226 - [c11]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. ICLR 2020 - [i12]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR abs/2010.16279 (2020) - [i11]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR abs/2011.03367 (2020) - [i10]Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR abs/2011.06464 (2020)
2010 – 2019
- 2019
- [c10]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR 2019: 2595-2603 - [i9]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR abs/1901.00003 (2019) - [i8]Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Embodied View-Contrastive 3D Feature Learning. CoRR abs/1906.03764 (2019) - [i7]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR abs/1910.01210 (2019) - 2018
- [c9]Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning From Narrated Demonstrations. CVPR 2018: 7004-7013 - [i6]Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning from Narrated Demonstrations. CoRR abs/1804.10692 (2018) - 2017
- [c8]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. ICCV 2017: 4364-4372 - [c7]Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton:
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. ICLR (Poster) 2017 - [c6]Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki:
Self-supervised Learning of Motion Capture. NIPS 2017: 5236-5246 - [i5]Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola:
Spectral Methods for Nonparametric Models. CoRR abs/1704.00003 (2017) - [i4]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. CoRR abs/1705.11166 (2017) - [i3]Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki:
Self-supervised Learning of Motion Capture. CoRR abs/1712.01337 (2017) - 2016
- [i2]Danica J. Sutherland
, Hsiao-Yu Fish Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton:
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. CoRR abs/1611.04488 (2016) - 2015
- [j2]Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. J. Mach. Learn. Res. 16: 2921-2947 (2015) - [c5]Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Anima Anandkumar:
Fast and Guaranteed Tensor Decomposition via Sketching. NIPS 2015: 991-999 - [i1]Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Animashree Anandkumar:
Fast and Guaranteed Tensor Decomposition via Sketching. CoRR abs/1506.04448 (2015) - 2014
- [j1]Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Effective string processing and matching for author disambiguation. J. Mach. Learn. Res. 15(1): 3037-3064 (2014) - [c4]Hsiao-Yu Tung, Wei-Chiu Ma, Tian-Li Yu:
Novel traffic signal timing adjustment strategy based on Genetic Algorithm. IEEE Congress on Evolutionary Computation 2014: 2353-2360 - [c3]Hsiao-Yu Fish Tung, Alexander J. Smola:
Spectral Methods for Indian Buffet Process Inference. NIPS 2014: 1484-1492 - 2013
- [c2]Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. KDD Cup 2013: 2:1-2:7 - [c1]Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang
Effective string processing and matching for author disambiguation. KDD Cup 2013: 7:1-7:9
Coauthor Index
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