19 citations · 24 across the 5 of their papers we have counts for
7 papers · 1 filter
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
Ali K. AlShami, Ryan Rabinowitz, Maged Shoman +9
As the computer vision community advances autonomous driving algorithms, integrating vision-based insights with sensor data remains essential for improving perception, decision mak…
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving
Ali K. AlShami, Ananya Kalita, Ryan Rabinowitz +4
As the Computer Vision community rapidly develops and advances algorithms for autonomous driving systems, the goal of safer and more efficient autonomous transportation is becoming…
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
Ali K. AlShami, Terrance Boult, Jugal Kalita
Tracking the trajectory of tennis players can help camera operators in production. Predicting future movement enables cameras to automatically track and predict a player's future t…
Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss
Rafael Henrique Vareto, Yu Linghu, Terrance E. Boult +2
Open-set face recognition characterizes a scenario where unknown individuals, unseen during the training and enrollment stages, appear on operation time. This work concentrates on…
Large-scale Fully-Unsupervised Re-Identification
Gabriel Bertocco, Fernanda Andaló, Terrance E. Boult +1
Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in surveillance, forensics, event understanding, and sma…
DaliID: Distortion-Adaptive Learned Invariance for Identification Models
Wes Robbins, Gabriel Bertocco, Terrance E. Boult
In unconstrained scenarios, face recognition and person re-identification are subject to distortions such as motion blur, atmospheric turbulence, or upsampling artifacts. To improv…