Tung, Hsiao-Yu

15 publications

NeurIPS 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung

CVPRW 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung

ICLR 2023 FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan

NeurIPS 2023 Physion++: Evaluating Physical Scene Understanding That Requires Online Inference of Different Physical Properties Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith Fan, Kevin Smith

ICLR 2021 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W Harley, Katerina Fragkiadaki

ICLR 2021 HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki

CoRL 2021 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

CoRL 2020 3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki

ICLRW 2019 Learning Spatial Common Sense with Geometry-Aware Recurrent Networks Hsiao-Yu Tung, Ricson Cheng, Katerina Fragkiadaki

ICLR 2017 Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton

NeurIPS 2017 Self-Supervised Learning of Motion Capture Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki

JMLR 2015 Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 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

NeurIPS 2015 Fast and Guaranteed Tensor Decomposition via Sketching Yining Wang, Hsiao-Yu Tung, Alexander J Smola, Anima Anandkumar

JMLR 2014 Effective String Processing and Matching for Author Disambiguation 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

NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference Hsiao-Yu Tung, Alexander J Smola