Majhi, Snehashis

6 publications

WACV 2025 Guess Future Anomalies from Normalcy: Forecasting Abnormal Behavior in Real-World Videos Snehashis Majhi, Mohammed Guermal, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

CVPR 2025 Just Dance with Pi! a Poly-Modal Inductor for Weakly-Supervised Video Anomaly Detection Snehashis Majhi, Giacomo D'Amicantonio, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Egor Bondarev, Francois Bremond

ICCV 2025 Mixture of Experts Guided by Gaussian Splatters Matters: A New Approach to Weakly-Supervised Video Anomaly Detection Giacomo D' Amicantonio, Snehashis Majhi, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond, Egor Bondarev

WACV 2025 SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha

WACV 2024 OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond

ECCVW 2024 What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon Utkarsh Tiwari, Snehashis Majhi, Michal Balazia, François Brémond