5 papers
Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier
Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1
The proposed pipeline integrates a representation-flow convolutional neural network with a dynamics- and uncertainty-aware tree-based Gaussian Process classifier. In this framework…
GPEC: Efficient Pre-LLM Gaussian Process Embedding Correction for Cardiac Video Caption Generation
Arefeh Rezaei
Multimodal large language models (MLLMs) have shown strong potential for video understanding and caption generation, but their performance may decline in specialized medical imagin…
Video Captioning in Low-Light Conditions through Efficient Uncertainty-Aware Caption Correction
Arefeh Rezaei
Low-light conditions can significantly degrade the ability of vision-language models (VLMs) to accurately describe human actions in videos. In this work, I propose an efficient unc…
Traffic Sign Recognition for Autonomous Driving Using Branched YOLOv2 and Geometric Features
Arefeh Rezaei
Traffic sign recognition (TSR) is an important perception task for autonomous driving and advanced driver-assistance systems, where a system must both localize traffic signs and de…
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1
This paper aims to present a novel pipeline for automated surgical skill assessment using video data and to showcase the effectiveness of the proposed approach in evaluating surgeo…