The Multi-Modal Video Reasoning and Analyzing Competition

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.

Publication
Proceedings of the IEEE/CVF International Conference on Computer Vision