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06/30/2023
Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation
3D perceptual representations are well suited for robot manipulation as ...
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04/27/2023
Analogy-Forming Transformers for Few-Shot 3D Parsing
We present Analogical Networks, a model that encodes domain knowledge ex...
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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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07/21/2022
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
We introduce TIDEE, an embodied agent that tidies up a disordered scene ...
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06/16/2022
A Simple Baseline for BEV Perception Without LiDAR
Building 3D perception systems for autonomous vehicles that do not rely ...
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04/08/2022
Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories
Tracking pixels in videos is typically studied as an optical flow estima...
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03/21/2022
Generating Fast and Slow: Scene Decomposition via Reconstruction
We consider the problem of segmenting scenes into constituent entities, ...
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04/08/2021
CoCoNets: Continuous Contrastive 3D Scene Representations
This paper explores self-supervised learning of amodal 3D feature repres...
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04/07/2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
We propose an unsupervised method for detecting and tracking moving obje...
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03/17/2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
We propose HyperDynamics, a dynamics meta-learning framework that condit...
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11/12/2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
We propose an action-conditioned dynamics model that predicts scene chan...
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11/06/2020
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning
We present neural architectures that disentangle RGB-D images into objec...
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10/30/2020
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
We propose a system that learns to detect objects and infer their 3D pos...
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08/04/2020
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
We hypothesize that an agent that can look around in static scenes can l...
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05/10/2020
Epipolar Transformers
A common approach to localize 3D human joints in a synchronized and cali...
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10/02/2019
Embodied Language Grounding with Implicit 3D Visual Feature Representations
Consider the utterance "the tomato is to the left of the pot." Humans ca...
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07/11/2019
Graph-Structured Visual Imitation
We cast visual imitation as a visual correspondence problem. Our robotic...
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06/10/2019
Embodied View-Contrastive 3D Feature Learning
Humans can effortlessly imagine the occluded side of objects in a photog...
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01/11/2019
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation
Cross-domain image-to-image translation should satisfy two requirements:...
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12/31/2018
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
We integrate two powerful ideas, geometry and deep visual representation...
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11/20/2018
Model Learning for Look-ahead Exploration in Continuous Control
We propose an exploration method that incorporates look-ahead search ove...
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11/20/2018
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions
We consider artificial agents that learn to jointly control their grippe...
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11/03/2018
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
We present recurrent geometry-aware neural networks that integrate visua...
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04/27/2018
Reward Learning from Narrated Demonstrations
Humans effortlessly "program" one another by communicating goals and des...
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01/01/2018
Depth-Adaptive Computational Policies for Efficient Visual Tracking
Current convolutional neural networks algorithms for video object tracki...
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12/04/2017
Self-supervised Learning of Motion Capture
Current state-of-the-art solutions for motion capture from a single came...
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05/31/2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
Researchers have developed excellent feed-forward models that learn to m...
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05/05/2017
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Given a visual history, multiple future outcomes for a video scene are e...
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08/02/2015
Recurrent Network Models for Human Dynamics
We propose the Encoder-Recurrent-Decoder (ERD) model for recognition and...
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07/23/2015
Human Pose Estimation with Iterative Error Feedback
Hierarchical feature extractors such as Convolutional Networks (ConvNets...
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12/19/2014
