Scholar
Snehashis Majhi
Google Scholar ID: ycpLmvIAAAAJ
PhD Candidate, STARS Team, INRIA
Computer Vision
Abnormal Activity Detection
Weakly-supervised Learning
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Citations & Impact
All-time
Citations
197
H-index
7
i10-index
7
Publications
20
Co-authors
17
list available
Publications
7 items
Induce to Empower: Improving Lightweight Baselines via Foundation Model Induction for Generalized Polyp Segmentation
2026
Cited
0
Sharpening Lightweight Models for Generalized Polyp Segmentation: A Boundary Guided Distillation from Foundation Models
2026
Cited
0
B-MoE: A Body-Part-Aware Mixture-of-Experts "All Parts Matter" Approach to Micro-Action Recognition
2026
Cited
0
From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
2025
Cited
0
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
2025
Cited
0
Mamba Guided Boundary Prior Matters: A New Perspective for Generalized Polyp Segmentation
2025
Cited
0
Just Dance with $pi$! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection
2025
Cited
0
Co-authors
12 total
francois bremond
INRIA
Deepak Ranjan Nayak
Assistant Professor, Malaviya National Institute of Technology Jaipur
Lorenzo Garattoni
Toyota Motor Europe
Gianpiero Francesca
Toyota Motor Europe & IRIDIA CoDE, Université Libre de Bruxelles
Quan Kong
Woven by Toyota, Inc.
Debesh Jha
University of South Dakota
Giacomo D'Amicantonio
Eindhoven University of Technology
Antitza Dantcheva
Directrice de Recherche, Inria, France
