20 citations · 21 across the 8 of their papers we have counts for
8 papers
Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Catruna +2
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, including data augmentation and synthetic data generation. This work explores the use of…
Gait Recognition from Highly Compressed Videos
Andrei Niculae, Andy Catruna, Adrian Cosma +2
Surveillance footage represents a valuable resource and opportunities for conducting gait analysis. However, the typical low quality and high noise levels in such footage can sever…
The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models
Andy Cătrună, Adrian Cosma, Emilian Rădoi
Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the…
CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild
Andy Cătrună, Adrian Cosma, Emilian Rădoi
Gaze estimation, the task of predicting where an individual is looking, is a critical task with direct applications in areas such as human-computer interaction and virtual reality.…
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
Adrian Cosma, Emilian Radoi
Gait analysis is proven to be a reliable way to perform person identification without relying on subject cooperation. Walking is a biometric that does not significantly change in s…
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis
Adrian Cosma, Emilian Radoi
Gait analysis leverages unique walking patterns for person identification and assessment across multiple domains. Among the methods used for gait analysis, skeleton-based approache…