4 papers
VineetVC: Adaptive Video Conferencing Under Severe Bandwidth Constraints Using Audio-Driven Talking-Head Reconstruction
Vineet Kumar Rakesh, Soumya Mazumdar, Tapas Samanta +3
Intense bandwidth depletion within consumer and constrained networks has the potential to undermine the stability of real-time video conferencing: encoder rate management becomes s…
VedicTHG: Symbolic Vedic Computation for Low-Resource Talking-Head Generation in Educational Avatars
Vineet Kumar Rakesh, Ahana Bhattacharjee, Soumya Mazumdar +4
Talking-head avatars are increasingly adopted in educational technology to deliver content with social presence and improved engagement. However, many recent talking-head generatio…
Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification
Vineet Kumar Rakesh, Soumya Mazumdar, Tapas Samanta +2
Lightweight convolutional and transformer-based networks are increasingly preferred for real-time image classification, especially on resource-constrained devices. This study evalu…
Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
Vineet Kumar Rakesh, Soumya Mazumdar, Research Pratim Maity +3
Talking Head Generation (THG) has emerged as a transformative technology in computer vision, enabling the synthesis of realistic human faces synchronized with image, audio, text, o…