Robust and Uncertainty-Aware VAE (RU-VAE) for One-Class Classification. - Renuka Sharma; Suyash P. Awate (ISBI, 2022)

Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network. - Debabrata Pal; Valay Bundele; Renuka Sharma; Biplab Banerjee; Yogananda V. Jeppu (WACV, 2022)

A Semi-supervised Generalized VAE Framework for Abnormality Detection using One-Class Classification. - Renuka Sharma; Satvik Mashkaria; Suyash P. Awate (WACV, 2022)

Deep Semi-supervised Anomaly Detection Using VQ-VAE. - Renuka Sharma; Hengcan Shi; Jianfei Cai 001; Suyash P. Awate; Nick Birbilis (DICTA, 2023)

CVB: A Video Dataset of Cattle Visual Behaviors. - Ali Zia; Renuka Sharma; Reza Arablouei; Greg Bishop-Hurley; Jody McNally; Neil Bagnall; Vivien Rolland; Brano Kusy; Lars Petersson; Aaron Ingham (CoRR, 2023)

Multi-class Regret Detection in Hindi Devanagari Script. - Renuka Sharma; Sushama Nagpal; Sangeeta Sabharwal; Sabur Butt (CoRR, 2024)

SensorGPT: A New Paradigm for Synthetic Sensory Data Generation. - Renuka Sharma; Abdelwahed Khamis; Sara Khalifa; Dan Bretherton; Brano Kusy (PerCom Workshops, 2025)

Synthetic Sensory Data Generators: How Much Progress Are We Making? - Renuka Sharma; Abdelwahed Khamis; Sara Khalifa; Dan Bretherton; Brano Kusy (PerCom Workshops, 2025)

A semi-supervised multiscale generalized-VAE framework for one-class classification. - Renuka Sharma; Suyash P. Awate (Neurocomputing, 2025)

A Review on Coarse to Fine-Grained Animal Action Recognition. - Ali Zia; Renuka Sharma; Abdelwahed Khamis; Xuesong Li 001; Muhammad Husnain; Numan Shafi; Saeed Anwar; Sabine Schmoelzl; Eric A. Stone; Lars Petersson; Vivien Rolland (CoRR, 2025)