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09/07/2023
Cross-Image Context Matters for Bongard Problems
Current machine learning methods struggle to solve Bongard problems, whi...
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07/27/2023
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
We introduce PointOdyssey, a large-scale synthetic dataset, and data gen...
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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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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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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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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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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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04/27/2018
Reward Learning from Narrated Demonstrations
Humans effortlessly "program" one another by communicating goals and des...
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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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08/20/2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Recently, convolutional networks (convnets) have proven useful for predi...
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11/13/2015
Learning Dense Convolutional Embeddings for Semantic Segmentation
This paper proposes a new deep convolutional neural network (DCNN) archi...
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02/25/2015