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20192022
most citedRetrospectives on the Embodied AI Workshop

19 citations · 41 across the 6 of their papers we have counts for

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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.CV20223 cited

Taking an Emotional Look at Video Paragraph Captioning

Qinyu Li, Tengpeng Li, Hanli Wang +1

Translating visual data into natural language is essential for machines to understand the world and interact with humans. In this work, a comprehensive study is conducted on video…

cs.CV20221 cited

Knowledge-enriched Attention Network with Group-wise Semantic for Visual Storytelling

Tengpeng Li, Hanli Wang, Bin He +1

As a technically challenging topic, visual storytelling aims at generating an imaginary and coherent story with narrative multi-sentences from a group of relevant images. Existing…

cs.CV20201 cited

Semantic Audio-Visual Navigation

Changan Chen, Ziad Al-Halah, Kristen Grauman

Recent work on audio-visual navigation assumes a constantly-sounding target and restricts the role of audio to signaling the target's position. We introduce semantic audio-visual n…

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.CV202010 cited

VisualEchoes: Spatial Image Representation Learning through Echolocation

Ruohan Gao, Changan Chen, Ziad Al-Halah +2

Several animal species (e.g., bats, dolphins, and whales) and even visually impaired humans have the remarkable ability to perform echolocation: a biological sonar used to perceive…