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20182022
most citedRetrospectives on the Embodied AI Workshop

19 citations · 19 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV202219 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV2021

Move2Hear: Active Audio-Visual Source Separation

Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

We introduce the active audio-visual source separation problem, where an agent must move intelligently in order to better isolate the sounds coming from an object of interest in it…

cs.CL2021

Model Agnostic Answer Reranking System for Adversarial Question Answering

Sagnik Majumder, Chinmoy Samant, Greg Durrett

While numerous methods have been proposed as defenses against adversarial examples in question answering (QA), these techniques are often model specific, require retraining of the…

cs.CV2020

Learning to Set Waypoints for Audio-Visual Navigation

Changan Chen, Sagnik Majumder, Ziad Al-Halah +3

In audio-visual navigation, an agent intelligently travels through a complex, unmapped 3D environment using both sights and sounds to find a sound source (e.g., a phone ringing in…

cs.LG2019

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?

Martin Mundt, Iuliia Pliushch, Sagnik Majumder +1

We present an analysis of predictive uncertainty based out-of-distribution detection for different approaches to estimate various models' epistemic uncertainty and contrast it with…

cs.CV2019

Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset

Martin Mundt, Sagnik Majumder, Sreenivas Murali +2

Recognition of defects in concrete infrastructure, especially in bridges, is a costly and time consuming crucial first step in the assessment of the structural integrity. Large var…