activity
20242026
most citedMulti-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking

22 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Feeds Don't Tell the Whole Story: Measuring Online-Offline Emotion Alignment

Sina Elahimanesh, Mohammadali Mohammadkhani, Shohreh Kasaei

In contemporary society, social media is deeply integrated into daily life, yet emotional expression often differs between real and online contexts. We studied the Persian communit…

cs.CV2025

KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor Search

Nima Jamali, Matina Mahdizadeh Sani, Hanieh Naderi +1

Deep neural networks (DNNs) have demonstrated remarkable performance in analyzing 3D point cloud data. However, their vulnerability to adversarial attacks-such as point dropping, s…

cs.CV2024

SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap

Vladimir Somers, Victor Joos, Anthony Cioppa +11

Tracking and identifying athletes on the pitch holds a central role in collecting essential insights from the game, such as estimating the total distance covered by players or unde…

cs.CV2024

Attack on Scene Flow using Point Clouds

Haniyeh Ehsani Oskouie, Mohammad-Shahram Moin, Shohreh Kasaei

Deep neural networks have made significant advancements in accurately estimating scene flow using point clouds, which is vital for many applications like video analysis, action rec…

cs.CV202422 cited

Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking

Amir M. Mansourian, Vladimir Somers, Christophe De Vleeschouwer +1

Effective tracking and re-identification of players is essential for analyzing soccer videos. But, it is a challenging task due to the non-linear motion of players, the similarity…