activity
20162024
most citedOn Evaluation of Embodied Navigation Agents

489 citations · 1.7k across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.LG2020★ 6 cited

Unsupervised Domain Adaptation for Visual Navigation

Shangda Li, Devendra Singh Chaplot, Yao-Hung Hubert Tsai +3

Advances in visual navigation methods have led to intelligent embodied navigation agents capable of learning meaningful representations from raw RGB images and perform a wide varie…

cs.AI2020

Planning with Submodular Objective Functions

Ruosong Wang, Hanrui Zhang, Devendra Singh Chaplot +2

We study planning with submodular objective functions, where instead of maximizing the cumulative reward, the goal is to maximize the objective value induced by a submodular functi…

cs.CV2020★ 221 cited

Object Goal Navigation using Goal-Oriented Semantic Exploration

Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta +1

This work studies the problem of object goal navigation which involves navigating to an instance of the given object category in unseen environments. End-to-end learning-based navi…

cs.CV2020

Semantic Curiosity for Active Visual Learning

Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta +1

In this paper, we study the task of embodied interactive learning for object detection. Given a set of environments (and some labeling budget), our goal is to learn an object detec…

cs.CV2020

Neural Topological SLAM for Visual Navigation

Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta +1

This paper studies the problem of image-goal navigation which involves navigating to the location indicated by a goal image in a novel previously unseen environment. To tackle this…

cs.CV2020★ 221 cited

Learning to Explore using Active Neural SLAM

Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta +2

This work presents a modular and hierarchical approach to learn policies for exploring 3D environments, called `Active Neural SLAM'. Our approach leverages the strengths of both cl…