Author

Praveen Kumar Chandaliya

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#computer vision Preprint Sep 2026

Investigating Temporal Motion Features for Pose-to-Text Indian Sign Language Translation

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 sequences are projected into the embedding space of T5 through a lightweight pose encoder, with the complete model fine-tuned to generate English...

Manav Dhamecha, Praveen Kumar Chandaliya, Pruthwik Mishra · 0 citations

#artificial intelligence Preprint Sep 2026

Predicting Spatiotemporal Mobile Sensing-Based PM2.5 Concentrations Using Low-Rank Adapted Spatially Attentive Graph Neural Network

Combining spatial clustering with adaptive attention significantly improves forecasting, enabling real-time, fine-grained monitoring and supporting personalized exposure tracking and timely alerts for healthier cities.

Om Chiddarwar, Priyank Mandal, Praveen Kumar Chandaliya et al. · 0 citations