Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Cosma, Adrian"'
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, including data augmentation and synthetic data generation. This work explores the use of LLMs to generate rich textual descriptions for motion sequences, encom
Externí odkaz:
http://arxiv.org/abs/2404.12192
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 severely impact the accuracy of pose estimation algorithms, which are found
Externí odkaz:
http://arxiv.org/abs/2404.12183
Recently, large language models (LLMs) have become increasingly powerful and have become capable of solving a plethora of tasks through proper instructions in natural language. However, the vast majority of testing suites assume that the instructions
Externí odkaz:
http://arxiv.org/abs/2402.13222
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 prevailing assumption that vision-based gait recognition, in particula
Externí odkaz:
http://arxiv.org/abs/2402.08320
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. Estimating the direction of looking in unconstrained environments is
Externí odkaz:
http://arxiv.org/abs/2402.08316
Autor:
Gimeno-Gómez, David, Bucur, Ana-Maria, Cosma, Adrian, Martínez-Hinarejos, Carlos-David, Rosso, Paolo
Depression, a prominent contributor to global disability, affects a substantial portion of the population. Efforts to detect depression from social media texts have been prevalent, yet only a few works explored depression detection from user-generate
Externí odkaz:
http://arxiv.org/abs/2401.02746
Autor:
Cosma, Adrian, Radoi, Emilian
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 short periods of time and can be regarded as unique to each person. So
Externí odkaz:
http://arxiv.org/abs/2310.19418
Autor:
Cosma, Adrian, Radoi, Emilian
Gait analysis leverages unique walking patterns for person identification and assessment across multiple domains. Among the methods used for gait analysis, skeleton-based approaches have shown promise due to their robust and interpretable features. H
Externí odkaz:
http://arxiv.org/abs/2310.03396
Autor:
Cosma, Adrian, Radoi, Emilian
Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psychological theory of embodiment. To date, attempts to tackle this proble
Externí odkaz:
http://arxiv.org/abs/2308.10631
The analysis of patterns of walking is an important area of research that has numerous applications in security, healthcare, sports and human-computer interaction. Lately, walking patterns have been regarded as a unique fingerprinting method for auto
Externí odkaz:
http://arxiv.org/abs/2308.10623