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09/08/2023
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Sparse Mixture-of-Experts models (MoEs) have recently gained popularity ...
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06/29/2023
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
A major challenge to deploying robots widely is navigation in human-popu...
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06/09/2023
Value function estimation using conditional diffusion models for control
A fairly reliable trend in deep reinforcement learning is that the perfo...
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04/10/2023
On Robustness in Multimodal Learning
Multimodal learning is defined as learning over multiple heterogeneous i...
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10/18/2022
Perceptual Grouping in Vision-Language Models
Recent advances in zero-shot image recognition suggest that vision-langu...
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09/19/2022
Gesture2Path: Imitation Learning for Gesture-aware Navigation
As robots increasingly enter human-centered environments, they must not ...
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07/27/2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation
We introduce GAUDI, a generative model capable of capturing the distribu...
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04/11/2022
A Protocol for Validating Social Navigation Policies
Enabling socially acceptable behavior for situated agents is a major goa...
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04/04/2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Large language models can encode a wealth of semantic knowledge about th...
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03/28/2022
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation
Social navigation is the capability of an autonomous agent, such as a ro...
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11/04/2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Reinforcement learning can train policies that effectively perform compl...
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08/18/2020
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation
Many Reinforcement Learning (RL) approaches use joint control signals (p...
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08/11/2020
Adversarial Generative Grammars for Human Activity Prediction
In this paper we propose an adversarial generative grammar model for fut...
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07/29/2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Object navigation is defined as navigating to an object of a given label...
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06/23/2020
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
We revisit the problem of Object-Goal Navigation (ObjectNav). In its sim...
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06/08/2020
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Complex object manipulation tasks often span over long sequences of oper...
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10/30/2019
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments
We present Interactive Gibson, the first comprehensive benchmark for tra...
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03/23/2019
Long Range Neural Navigation Policies for the Real World
Learned Neural Network based policies have shown promising results for r...
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03/09/2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Many robotic applications require the agent to perform long-horizon task...
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11/26/2018
Evolving Space-Time Neural Architectures for Videos
In this paper, we present a new method for evolving video CNN models to ...
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06/08/2018
Self-supervisory Signals for Object Discovery and Detection
In robotic applications, we often face the challenge of discovering new ...
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05/15/2018
Visual Representations for Semantic Target Driven Navigation
What is a good visual representation for autonomous agents? We address t...
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12/20/2017
Sim2Real View Invariant Visual Servoing by Recurrent Control
Humans are remarkably proficient at controlling their limbs and tools fr...
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03/21/2017
No Fuss Distance Metric Learning using Proxies
We address the problem of distance metric learning (DML), defined as lea...
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01/06/2017
Towards Accurate Multi-person Pose Estimation in the Wild
We propose a method for multi-person detection and 2-D pose estimation t...
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09/21/2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Automatically describing the content of an image is a fundamental proble...
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05/08/2016
Chained Predictions Using Convolutional Neural Networks
In this paper, we present an adaptation of the sequence-to-sequence mode...
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11/20/2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Current approaches for fine-grained recognition do the following: First,...
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11/07/2015
Generation and Comprehension of Unambiguous Object Descriptions
We propose a method that can generate an unambiguous description (known ...
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07/01/2015
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses
We present a method for learning an embedding that places images of huma...
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11/17/2014
Show and Tell: A Neural Image Caption Generator
Automatically describing the content of an image is a fundamental proble...
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12/17/2013
Deep Convolutional Ranking for Multilabel Image Annotation
Multilabel image annotation is one of the most important challenges in c...
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12/17/2013
DeepPose: Human Pose Estimation via Deep Neural Networks
We propose a method for human pose estimation based on Deep Neural Netwo...
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12/08/2013
