17 citations · 19 across the 9 of their papers we have counts for
10 papers
SPIDER4TianoCore: Enhancing Patch-Propagation for the TianoCore UEFI Firmware Development Ecosystem
Laura Baird, Devin Haggitt, Terrance E. Boult +2
We propose and demonstrate SPIDER4TianoCore, a packaged Python command-line tool that provides integration-stage patch-status evidence for the TianoCore/UEFI firmware supply chain.…
Enhancing Bug Report Templates in the TianoCore UEFI Firmware Development Community
Laura Baird, Neelesh Reddybattula, Nazanin Siavash +2
We propose enhancing the bug report templates in the GitHub Issues issue tracking system used by the TianoCore open-source community with the aim of improving the bug triage and re…
TianoForge: An Automated Bug Triage Approach for the TianoCore UEFI Firmware Development Community
Nazanin Siavash, Terrance E. Boult, Armin Moin
We propose a novel approach to bug triage in the TianoCore open-source UEFI firmware development ecosystem. This integrated approach, called TianoForge, deploys the state of the ar…
Adapting Feature Attenuation to NLP
Tianshuo Yang, Ryan Rabinowitz, Terrance E. Boult +1
Transformer classifiers such as BERT deliver impressive closed-set accuracy, yet they remain brittle when confronted with inputs from unseen categories--a common scenario for deplo…
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…