22 citations · 28 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks
Hanieh Naderi, Chinthaka Dinesh, Ivan V. Bajic +1
Adversarial attacks pose serious challenges for deep neural network (DNN)-based analysis of various input signals. In the case of three-dimensional point clouds, methods have been…
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi, Kimia Noorbakhsh, Arian Etemadi +1
Although 3D point cloud classification has recently been widely deployed in different application scenarios, it is still very vulnerable to adversarial attacks. This increases the…