activity
20182022
most citedLearning to Explore using Active Neural SLAM

221 citations · 369 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CV20229 cited

Detection of Distracted Driver using Convolution Neural Network

Narayana Darapaneni, Jai Arora, MoniShankar Hazra +4

With over 50 million car sales annually and over 1.3 million deaths every year due to motor accidents we have chosen this space. India accounts for 11 per cent of global death in r…

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

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.CV2020221 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…