1 citations · 1 across the 5 of their papers we have counts for
6 papers
Efficient Label Refinement for Face Parsing Under Extreme Poses Using 3D Gaussian Splatting
Ankit Gahlawat, Anirban Mukherjee, Dinesh Babu Jayagopi
Accurate face parsing under extreme viewing angles remains a significant challenge due to limited labeled data in such poses. Manual annotation is costly and often impractical at s…
OMuSense-23: A Multimodal Dataset for Contactless Breathing Pattern Recognition and Biometric Analysis
Manuel Lage Cañellas, Le Nguyen, Anirban Mukherjee +6
In the domain of non-contact biometrics and human activity recognition, the lack of a versatile, multimodal dataset poses a significant bottleneck. To address this, we introduce th…
SemUV: Deep Learning based semantic manipulation over UV texture map of virtual human heads
Anirban Mukherjee, Venkat Suprabath Bitra, Vignesh Bondugula +2
Designing and manipulating virtual human heads is essential across various applications, including AR, VR, gaming, human-computer interaction and VFX. Traditional graphic-based app…
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videos
Anirban Mukherjee, Monjoy Narayan Choudhury, Dinesh Babu Jayagopi
Face de-identification in videos is a challenging task in the domain of computer vision, primarily used in privacy-preserving applications. Despite the considerable progress achiev…
Multi-objective Feature Selection in Remote Health Monitoring Applications
Le Ngu Nguyen, Constantino Álvarez Casado, Manuel Lage Cañellas +4
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification.…
Non-contact Multimodal Indoor Human Monitoring Systems: A Survey
Le Ngu Nguyen, Praneeth Susarla, Anirban Mukherjee +6
Indoor human monitoring systems leverage a wide range of sensors, including cameras, radio devices, and inertial measurement units, to collect extensive data from users and the env…