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cs.CV2026

A HamNoSys-Guided Dataset and Baselines for Fine-Grained Isolated Handshape Recognition in Sign Language

Ushnish Sarkar, Suvajit Patra, Bhaswar Chattopadhyay +2

Purpose: Fine-grained handshape recognition supports computational sign-language transcription, recognition, and translation, but broad, phonetically defined visual inventories wit…

cs.CV2026

BayesFusion-SDF: Probabilistic Signed Distance Fusion with View Planning on CPU

Soumya Mazumdar, Vineet Kumar Rakesh, Tapas Samanta

Key part of robotics, augmented reality, and digital inspection is dense 3D reconstruction from depth observations. Traditional volumetric fusion techniques, including truncated si…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…