Hsiao-Yu Fish Tung

20 papers A* 4Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	3D View Prediction Models of the Dorsal Visual Stream. CoRR Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr
2022	—	`—`	Learning to See by Moving: Self-supervising 3D Scene Representations for Perception, Control, and Visual Reasoning. Hsiao-Yu Fish Tung
2020	J	`jnl`	3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
2020	J	`jnl`	3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
2020	—	`conf`	3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
2020	A*	`conf`	Embodied Language Grounding With 3D Visual Feature Representations. CVPR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2020	A*	`conf`	Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. ICLR Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki
2019	J	`jnl`	Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019	J	`jnl`	Embodied View-Contrastive 3D Feature Learning. CoRR Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki
2019	A*	`conf`	Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
2019	J	`jnl`	Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
2018	J	`jnl`	Reward Learning from Narrated Demonstrations. CoRR Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki
2017	A*	`conf`	Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. ICCV Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
2017	J	`jnl`	Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. CoRR Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
2017	J	`jnl`	Self-supervised Learning of Motion Capture. CoRR Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki
2017	J	`jnl`	Spectral Methods for Nonparametric Models. CoRR Hsiao-Yu Fish Tung, Chao-Yuan Wu, Manzil Zaheer, Alexander J. Smola
2016	J	`jnl`	Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. CoRR Danica J. Sutherland, Hsiao-Yu Fish Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton
2015	—	`conf`	Fast and Guaranteed Tensor Decomposition via Sketching. NIPS Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Anima Anandkumar
2015	J	`jnl`	Fast and Guaranteed Tensor Decomposition via Sketching. CoRR Yining Wang, Hsiao-Yu Fish Tung, Alexander J. Smola, Animashree Anandkumar
2014	—	`conf`	Spectral Methods for Indian Buffet Process Inference. NIPS Hsiao-Yu Fish Tung, Alexander J. Smola