8 papers · 1 filter
Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
Khush Kataruka, Mohammad Muzammila, Zahid Akhtar +2
In recent years, automated fruit classification systems have become a more critical component in precision agriculture for efficient yield estimation, quality control, and supply c…
Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation
Manav Dhamecha, Praveen Kumar Chandaliya, Pruthwik Mishra
We investigate the effect of pretrained T5 model scale and explicit motion features on pose-to-text Indian Sign Language Translation (SLT) for the WSLP 2026 Shared Task. Pose seque…
MultiAttenGastro: Multi-Dimensional Attention Augmentation for Gastrointestinal Endoscopy Classification
Sadhana Devarajan, Praveen Kumar Chandaliya, Dhruvin Jashvant Kumar Shah +2
Automated gastrointestinal (GI) endoscopy classification requires models that generalize across diverse modalities and class distributions, often far from natural-image pretraining…
WasteAssistant: Regulation-Guided Visual Question Answering Framework for Intelligent Waste Segregation and Sustainable Managemen
Khush Kataruka, Harshit Maurya, Anuja Vats +3
Efficient waste segregation is critical for sustainable urban management and environmental governance. Existing automated systems are limited by single-modality visual processing,…
LoRA-Enhanced Vision Transformer for Single Image based Morphing Attack Detection via Knowledge Distillation from EfficientNet
Ria Shekhawat, Sushrut Patwardhan, Raghavendra Ramachandra +2
Face Recognition Systems (FRS) are critical for security but remain vulnerable to morphing attacks, where synthetic images blend biometric features from multiple individuals. We pr…
Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformations
Lakshmi Srinivas Panchananam, Praveen Kumar Chandaliya, Kishor Upla +1
Abnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effecti…
Towards Inclusive Face Recognition Through Synthetic Ethnicity Alteration
Praveen Kumar Chandaliya, Kiran Raja, Raghavendra Ramachandra +2
Numerous studies have shown that existing Face Recognition Systems (FRS), including commercial ones, often exhibit biases toward certain ethnicities due to under-represented data.…
Longitudinal Analysis of Mask and No-Mask on Child Face Recognition
Praveen Kumar Chandaliya, Zahid Akhtar, Neeta Nain
Face is one of the most widely employed traits for person recognition, even in many large-scale applications. Despite technological advancements in face recognition systems, they s…