Snehashis Majhi

8 papers · 2024–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) ⚡ Prolific Year · Productive

Venues

WACV (5) CVPR (1) ICCV (1) MICCAI (1)

Top co-authors

Lorenzo Garattoni (5) Quan Kong (5) francois bremond (5) Gianpiero Francesca (5) Debesh Jha (3) Deepak Ranjan Nayak (3) Antitza Dantcheva (3) Egor Bondarev (2) Quentin Mérilleau (1) Giacomo D' Amicantonio (1)

Research topics

Computer Vision (6) Machine Learning (6) Analysis (5) Learning Types · Machine Learning (5) Artificial Intelligence (3) Core AI (3) Processing (3) Application Areas (2) Deep Learning (1) Healthcare & Medicine (1) Clinical (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1)

Keywords

video anomaly detection (4) weakly supervised learning (3) polyp segmentation (2) transfer learning (1) domain adaptation (1) anomaly detection (1) pose estimation (1) human activity recognition (1) medical imaging (1) knowledge distillation (1) multimodal learning (1) depth estimation (1) trajectory prediction (1) gaussian splatting (1) optical flow (1) state space model (1) foundation model (1) mixture of expert (1) frequency domain (1) temporal consistency (1)

Papers

Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy WACV 2026 From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation WACV 2026 Guess Future Anomalies from Normalcy: Forecasting Abnormal Behavior in Real-World Videos WACV 2025 Just Dance with pi! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection CVPR 2025 Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation MICCAI 2025 Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection ICCV 2025 SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation WACV 2025 OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection WACV 2024