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04/22/2023
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Given a visual scene, humans have strong intuitions about how a scene ca...
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10/27/2022
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Effective planning of long-horizon deformable object manipulation requir...
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10/20/2022
Does Decentralized Learning with Non-IID Unlabeled Data Benefit from Self Supervision?
Decentralized learning has been advocated and widely deployed to make ef...
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06/03/2022
Reinforcement Learning with Neural Radiance Fields
It is a long-standing problem to find effective representations for trai...
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05/05/2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
Modeling and manipulating elasto-plastic objects are essential capabilit...
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05/02/2022
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
Objects' motions in nature are governed by complex interactions and thei...
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03/31/2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
We consider the problem of sequential robotic manipulation of deformable...
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02/24/2022
Learning Multi-Object Dynamics with Compositional Neural Radiance Fields
We present a method to learn compositional predictive models from image ...
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09/09/2021
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Tactile sensing is critical for humans to perform everyday tasks. While ...
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07/08/2021
3D Neural Scene Representations for Visuomotor Control
Humans have a strong intuitive understanding of the 3D environment aroun...
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09/10/2020
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Predictive models have been at the core of many robotic systems, from qu...
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07/01/2020
Causal Discovery in Physical Systems from Videos
Causal discovery is at the core of human cognition. It enables us to rea...
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06/22/2020
Learning Physical Graph Representations from Visual Scenes
Convolutional Neural Networks (CNNs) have proved exceptional at learning...
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04/28/2020
Visual Grounding of Learned Physical Models
Humans intuitively recognize objects' physical properties and predict th...
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10/18/2019
Learning Compositional Koopman Operators for Model-Based Control
Finding an embedding space for a linear approximation of a nonlinear dyn...
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10/03/2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
The ability to reason about temporal and causal events from videos lies ...
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06/14/2019
Connecting Touch and Vision via Cross-Modal Prediction
Humans perceive the world using multi-modal sensory inputs such as visio...
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10/03/2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
Real-life control tasks involve matter of various substances---rigid or ...
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09/28/2018
Propagation Networks for Model-Based Control Under Partial Observation
There has been an increasing interest in learning dynamics simulators fo...
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03/26/2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
The goal of imitation learning is to mimic expert behavior without acces...
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12/04/2016
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning
Dense object detection and temporal tracking are needed across applicati...
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06/02/2016
