17 citations · 19 across the 9 of their papers we have counts for
6 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…
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz, Steve Cruz, Walter Scheirer +1
Handling novelty remains a key challenge in visual recognition systems. Existing open-set recognition (OSR) methods rely on the familiarity hypothesis, detecting novelty by the abs…
GHOST: Gaussian Hypothesis Open-Set Technique
Ryan Rabinowitz, Steve Cruz, Manuel Günther +1
Evaluations of large-scale recognition methods typically focus on overall performance. While this approach is common, it often fails to provide insights into performance across ind…
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision
Ali K. AlShami, Ryan Rabinowitz, Khang Lam +4
Human Action Recognition (HAR) is a challenging domain in computer vision, involving recognizing complex patterns by analyzing the spatiotemporal dynamics of individuals' movements…
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…
Watchlist Challenge: 3rd Open-set Face Detection and Identification
Furkan Kasım, Terrance E. Boult, Rensso Mora +8
In the current landscape of biometrics and surveillance, the ability to accurately recognize faces in uncontrolled settings is paramount. The Watchlist Challenge addresses this cri…