Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Aristizabal, David"'
Facial expression recognition (FER) systems raise significant privacy concerns due to the potential exposure of sensitive identity information. This paper presents a study on removing identity information while preserving FER capabilities. Drawing on
Externí odkaz:
http://arxiv.org/abs/2412.00277
Gait analysis using computer vision is an emerging field in AI, offering clinicians an objective, multi-feature approach to analyse complex movements. Despite its promise, current applications using RGB video data alone are limited in measuring clini
Externí odkaz:
http://arxiv.org/abs/2411.13716
Autor:
Chierchia, Remi, Lebrat, Leo, Ahmedt-Aristizabal, David, Salvado, Olivier, Fookes, Clinton, Cruz, Rodrigo Santa
Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D features of wo
Externí odkaz:
http://arxiv.org/abs/2407.19652
Clinical gait analysis (CGA) using computer vision is an emerging field in artificial intelligence that faces barriers of accessible, real-world data, and clear task objectives. This paper lays the foundation for current developments in CGA as well a
Externí odkaz:
http://arxiv.org/abs/2407.04190
This paper tackles the problem of novel view audio-visual synthesis along an arbitrary trajectory in an indoor scene, given the audio-video recordings from other known trajectories of the scene. Existing methods often overlook the effect of room geom
Externí odkaz:
http://arxiv.org/abs/2407.02264
Autor:
Xiao, Wenhui, Cruz, Rodrigo Santa, Ahmedt-Aristizabal, David, Salvado, Olivier, Fookes, Clinton, Lebrat, Leo
Neural Rendering representations have significantly contributed to the field of 3D computer vision. Given their potential, considerable efforts have been invested to improve their performance. Nonetheless, the essential question of selecting training
Externí odkaz:
http://arxiv.org/abs/2406.08839
Autor:
Cantrill, Sam, Ahmedt-Aristizabal, David, Petersson, Lars, Suominen, Hanna, Armin, Mohammad Ali
Camera-based remote photoplethysmography (rPPG) enables contactless measurement of important physiological signals such as pulse rate (PR). However, dynamic and unconstrained subject motion introduces significant variability into the facial appearanc
Externí odkaz:
http://arxiv.org/abs/2404.09378
Autor:
Wang, Yanshuo, Cheraghian, Ali, Hayder, Zeeshan, Hong, Jie, Ramasinghe, Sameera, Rahman, Shafin, Ahmedt-Aristizabal, David, Li, Xuesong, Petersson, Lars, Harandi, Mehrtash
Real-world systems often encounter new data over time, which leads to experiencing target domain shifts. Existing Test-Time Adaptation (TTA) methods tend to apply computationally heavy and memory-intensive backpropagation-based approaches to handle t
Externí odkaz:
http://arxiv.org/abs/2403.18442
Autor:
Ahmedt-Aristizabal, David, Armin, Mohammad Ali, Hayder, Zeeshan, Garcia-Cairasco, Norberto, Petersson, Lars, Fookes, Clinton, Denman, Simon, McGonigal, Aileen
Seizure events can manifest as transient disruptions in the control of movements which may be organized in distinct behavioral sequences, accompanied or not by other observable features such as altered facial expressions. The analysis of these clinic
Externí odkaz:
http://arxiv.org/abs/2312.10930
Autor:
Lebrat, Léo, Cruz, Rodrigo Santa, Chierchia, Remi, Arzhaeva, Yulia, Armin, Mohammad Ali, Goldsmith, Joshua, Oorloff, Jeremy, Reddy, Prithvi, Nguyen, Chuong, Petersson, Lars, Barakat-Johnson, Michelle, Luscombe, Georgina, Fookes, Clinton, Salvado, Olivier, Ahmedt-Aristizabal, David
Wound management poses a significant challenge, particularly for bedridden patients and the elderly. Accurate diagnostic and healing monitoring can significantly benefit from modern image analysis, providing accurate and precise measurements of wound
Externí odkaz:
http://arxiv.org/abs/2311.15836