Hsiao-Yu Fish Tung

According to our database¹, Hsiao-Yu Fish Tung authored at least 30 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

3D View Prediction Models of the Dorsal Visual Stream.

[BibT_eX]

[DOI]

CoRR, 2023

Tactile-Filter: Interactive Tactile Perception for Part Mating.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to See by Moving: Self-supervising 3D Scene Representations for Perception, Control, and Visual Reasoning.

[BibT_eX]

[DOI]

Hsiao-Yu Fish Tung

PhD thesis, 2022

2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks.

[BibT_eX]

[DOI]

Zhou Xian

Shamit Lal

Hsiao-Yu Tung

Emmanouil Antonios Platanios

Katerina Fragkiadaki

Proceedings of the 9th International Conference on Learning Representations, 2021

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views.

[BibT_eX]

[DOI]

Christopher G. Atkeson

Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.

[BibT_eX]

[DOI]

CoRR, 2020

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping.

[BibT_eX]

[DOI]

Adam W. Harley

Shrinidhi Kowshika Lakshmikanth

Proceedings of the 8th International Conference on Learning Representations, 2020

Embodied Language Grounding With 3D Visual Feature Representations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Embodied Language Grounding with Implicit 3D Visual Feature Representations.

[BibT_eX]

[DOI]

CoRR, 2019

Embodied View-Contrastive 3D Feature Learning.

[BibT_eX]

[DOI]

Adam W. Harley

Fangyu Li

Shrinidhi Kowshika Lakshmikanth

Xian Zhou

Hsiao-Yu Fish Tung

Katerina Fragkiadaki

CoRR, 2019

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks.

[BibT_eX]

[DOI]

Hsiao-Yu Fish Tung

Ricson Cheng

Katerina Fragkiadaki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Reward Learning From Narrated Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Spectral Methods for Nonparametric Models.

[BibT_eX]

[DOI]

CoRR, 2017

Self-supervised Learning of Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2015

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Fast and Guaranteed Tensor Decomposition via Sketching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Effective string processing and matching for author disambiguation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Spectral Methods for Indian Buffet Process Inference.

[BibT_eX]

[DOI]

Hsiao-Yu Fish Tung

Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Novel traffic signal timing adjustment strategy based on Genetic Algorithm.

[BibT_eX]

[DOI]

Hsiao-Yu Tung

Wei-Chiu Ma

Tian-Li Yu

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Hsiao-Yu Fish Tung

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...