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08/30/2023
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
For robots to be useful outside labs and specialized factories we need a...
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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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06/14/2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
We present a novel model for Tracking Any Point (TAP) that effectively t...
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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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04/13/2023
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
Recent works have shown that large models pretrained on common visual le...
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11/07/2022
TAP-Vid: A Benchmark for Tracking Any Point in a Video
Generic motion understanding from video involves not only tracking objec...
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12/09/2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
For robots operating in the real world, it is desirable to learn reusabl...
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12/01/2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Complex sequential tasks in continuous-control settings often require ag...
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04/29/2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Self-supervised learning algorithms based on instance discrimination tra...
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03/16/2021
Manipulator-Independent Representations for Visual Imitation
Imitation learning is an effective tool for robotic learning tasks where...
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01/21/2021
Learning rich touch representations through cross-modal self-supervision
The sense of touch is fundamental in several manipulation tasks, but rar...
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12/12/2020
Semi-supervised reward learning for offline reinforcement learning
In offline reinforcement learning (RL) agents are trained using a logged...
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11/27/2020
Offline Learning from Demonstrations and Unlabeled Experience
Behavior cloning (BC) is often practical for robot learning because it a...
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11/06/2020
Large-scale multilingual audio visual dubbing
We describe a system for large-scale audiovisual translation and dubbing...
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06/27/2020
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
We present an approach for estimating the period with which an action is...
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10/21/2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Collecting and automatically obtaining reward signals from real robotic ...
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09/26/2019
A Framework for Data-Driven Robotics
We present a framework for data-driven robotics that makes use of a larg...
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04/16/2019
Temporal Cycle-Consistency Learning
We introduce a self-supervised representation learning method based on t...
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10/14/2018
Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M, a new large-scale, structured corp...
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10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
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05/29/2018
Playing hard exploration games by watching YouTube
Deep reinforcement learning methods traditionally struggle with tasks wh...
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08/23/2017
Exploiting Convolution Filter Patterns for Transfer Learning
In this paper, we introduce a new regularization technique for transfer ...
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06/03/2017
See, Hear, and Read: Deep Aligned Representations
We capitalize on large amounts of readily-available, synchronous data to...
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03/09/2017
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
A person's weight status can have profound implications on their life, r...
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02/21/2017
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
Food is an integral part of our life and what and how much we eat crucia...
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10/27/2016
Cross-Modal Scene Networks
People can recognize scenes across many different modalities beyond natu...
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10/27/2016
SoundNet: Learning Sound Representations from Unlabeled Video
We learn rich natural sound representations by capitalizing on large amo...
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10/01/2016
How Transferable are CNN-based Features for Age and Gender Classification?
Age and gender are complementary soft biometric traits for face recognit...
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07/25/2016
