most citedSoccerNet 2022 Challenges Results

37 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 2 cited

UniParser: Multi-Human Parsing with Unified Correlation Representation Learning

Jiaming Chu, Lei Jin, Junliang Xing +1

Multi-human parsing is an image segmentation task necessitating both instance-level and fine-grained category-level information. However, prior research has typically processed the…

cs.CV2023★ 2 cited

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

Jian Zhao, Jianan Li, Lei Jin +20

The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UA…

cs.CV2023★ 11 cited

Single-stage Multi-human Parsing via Point Sets and Center-based Offsets

Jiaming Chu, Lei Jin, Junliang Xing +1

This work studies the multi-human parsing problem. Existing methods, either following top-down or bottom-up two-stage paradigms, usually involve expensive computational costs. We i…

cs.CV2022★ 37 cited

SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège +91

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…

cs.CV2022★ 1 cited

MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization

Shimin Chen, Wei Li, Chen Chen +4

In this paper, we introduce a novel large-scale video dataset dubbed MM-SEAL for multi-person multi-grained spatio-temporal action localization among human daily life. We are the f…