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
Contact
No contact links provided.
Publications
5 items
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
Resume (English only)
Co-authors
17 total
francois bremond
INRIA
Co-author 2
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.
Co-author 7
Co-author 8
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