activity
20212024
most citedEgo-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

20 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Progress-Aware Video Frame Captioning

Zihui Xue, Joungbin An, Xitong Yang +1

While image captioning provides isolated descriptions for individual images, and video captioning offers one single narrative for an entire video clip, our work explores an importa…

cs.CV2024★ 1 cited

Video ReCap: Recursive Captioning of Hour-Long Videos

Md Mohaiminul Islam, Ngan Ho, Xitong Yang +3

Most video captioning models are designed to process short video clips of few seconds and output text describing low-level visual concepts (e.g., objects, scenes, atomic actions).…

cs.CV2023★ 20 cited

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Kristen Grauman, Andrew Westbury, Lorenzo Torresani +98

We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric and exocentric…

cs.CV2023★ 1 cited

MINOTAUR: Multi-task Video Grounding From Multimodal Queries

Raghav Goyal, Effrosyni Mavroudi, Xitong Yang +5

Video understanding tasks take many forms, from action detection to visual query localization and spatio-temporal grounding of sentences. These tasks differ in the type of inputs (…

cs.CV2021

Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories

Xitong Yang, Haoqi Fan, Lorenzo Torresani +2

The standard way of training video models entails sampling at each iteration a single clip from a video and optimizing the clip prediction with respect to the video-level label. We…