most citedSoccerNet 2023 Challenges Results

28 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Robustness Evaluation and Target-Aware Black-Box Method

Shengjing Tian, Xiantong Zhao, Yuhao Bian +2

In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of perf…

cs.CV2024

Struggle with Adversarial Defense? Try Diffusion

Yujie Li, Yanbin Wang, Haitao Xu +4

Adversarial attacks induce misclassification by introducing subtle perturbations. Recently, diffusion models are applied to the image classifiers to improve adversarial robustness…

cs.CV2024

GT-Rain Single Image Deraining Challenge Report

Howard Zhang, Yunhao Ba, Ethan Yang +20

This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phen…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.LG2023★ 2 cited

Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder

Zezhen Zeng, Bin Liu

Deep generative models have been demonstrated as problematic in the unsupervised out-of-distribution (OOD) detection task, where they tend to assign higher likelihoods to OOD sampl…