| 2026 | ICPR | Dual the Reasoning, Double the Insight with TambI: A Self-Supervised Framework for Skeleton Action Representation. | Mahmoud Ali, Snehashis Majhi, Di Yang, Quan Kong, Gianpiero Francesca, Franois Brmond |
| 2026 | WACV | From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation. | Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha |
| 2026 | WACV | Denoise, Divide, Distill, and Predict D | Quentin Mrilleau, Snehashis Majhi, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Franois Brmond |
| 2025 | CVPR | 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, Franois Brmond |
| 2025 | ICCV | 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, Franois Brmond, Egor Bondarev |
| 2025 | MICCAI | Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation. | Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha |
| 2025 | WACV | SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation. | Tapas Kumar Dutta, Snehashis Majhi, Deepak Ranjan Nayak, Debesh Jha |
| 2025 | WACV | Guess Future Anomalies from Normalcy: Forecasting Abnormal Behavior in Real-World Videos. | Snehashis Majhi, Mohammed Guermal, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Franois Brmond |
| 2024 | ECCV | What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon. | Utkarsh Tiwari, Snehashis Majhi, Michal Balazia, Franois Brmond |
| 2024 | WACV | OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection. | Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, Franois Brmond |
| 2022 | ICONIP | Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. | Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa |
| 2021 | AVSS | DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection. | Snehashis Majhi, Srijan Das, Franois Brmond |