The Multi-Modal Video Reasoning and Analyzing Competition

Peng, Haoran and Huang, He and Xu, Li and Li, Tianjiao and Liu, Jun and Rahmani, Hossein and Ke, Qiuhong and Guo, Zhicheng and Wu, Cong and Li, Rongchang and Ye, Mang and Wang, Jiahao and Zhang, Jiaxu and Liu, Yuanzhong and He, Tao and Zhang, Fuwei and Liu, Xianbin and Lin, Tao (2021) The Multi-Modal Video Reasoning and Analyzing Competition. In: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Proceedings of the IEEE International Conference on Computer Vision . IEEE, pp. 806-813. ISBN 9781665401913

Full text not available from this repository.

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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
158638
Deposited By:
Deposited On:
25 Oct 2022 13:17
Refereed?:
Yes
Published?:
Published
Last Modified:
21 Nov 2022 17:36