activity
20182026
most citedLearning to Explore using Active Neural SLAM

221 citations · 468 across the 22 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CL2020★ 1 cited

Viable Threat on News Reading: Generating Biased News Using Natural Language Models

Saurabh Gupta, Huy H. Nguyen, Junichi Yamagishi +1

Recent advancements in natural language generation has raised serious concerns. High-performance language models are widely used for language generation tasks because they are able…

cs.CV2020

Aligning Videos in Space and Time

Senthil Purushwalkam, Tian Ye, Saurabh Gupta +1

In this paper, we focus on the task of extracting visual correspondences across videos. Given a query video clip from an action class, we aim to align it with training videos in sp…

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★ 23 cited

Semantic Visual Navigation by Watching YouTube Videos

Matthew Chang, Arjun Gupta, Saurabh Gupta

Semantic cues and statistical regularities in real-world environment layouts can improve efficiency for navigation in novel environments. This paper learns and leverages such seman…

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…