The Multi-Modal Video Reasoning and Analyzing Competition

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

The Multi-Modal Video Reasoning and Analyzing Competition

Computer Vision and Pattern Recognition 2021-08-20 v1 Artificial Intelligence

Authors: 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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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.

Keywords

image processing competition

Cite

@article{arxiv.2108.08344,
  title  = {The Multi-Modal Video Reasoning and Analyzing Competition},
  author = {Haoran Peng and He Huang and Li Xu and Tianjiao Li and Jun Liu and Hossein Rahmani and Qiuhong Ke and Zhicheng Guo and Cong Wu and Rongchang Li and Mang Ye and Jiahao Wang and Jiaxu Zhang and Yuanzhong Liu and Tao He and Fuwei Zhang and Xianbin Liu and Tao Lin},
  journal= {arXiv preprint arXiv:2108.08344},
  year   = {2021}
}

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Accepted to ICCV 2021 Workshops

The Multi-Modal Video Reasoning and Analyzing Competition

Abstract

Keywords

Cite

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