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The Multi-Modal Video Reasoning and Analyzing Competition

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  • Haoran Peng
  • He Huang
  • Li Xu
  • Tianjiao Li
  • Jun Liu
  • Hossein Rahmani
  • Qiuhong Ke
  • Zhicheng Guo
  • Cong Wu
  • Rongchang Li
  • Mang Ye
  • Jiahao Wang
  • Jiaxu Zhang
  • Yuanzhong Liu
  • Tao He
  • Fuwei Zhang
  • Xianbin Liu
  • Tao Lin
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Publication date24/11/2021
Host publication2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
PublisherIEEE
Pages806-813
Number of pages8
ISBN (Electronic)9781665401913
<mark>Original language</mark>English

Publication series

NameProceedings of the IEEE International Conference on Computer Vision
Volume2021-October
ISSN (Print)1550-5499

Abstract

In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four different tracks, namely, video question answering, skeleton-based action recognition, fisheye video-based action recognition, and person re-identification, which are based on two datasets: SUTD-TrafficQA and UAV-Human. We summarize the top-performing methods submitted by the participants in this competition and show their results achieved in the competition.