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2020 – today
- 2024
[j2]Snehashis Majhi
, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection. Comput. Vis. Image Underst. 241: 103955 (2024)- [c8]Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection. WACV 2024: 8559-8568 - [i3]Utkarsh Tiwari, Snehashis Majhi, Michal Balazia, François Brémond:
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon. CoRR abs/2408.05562 (2024) - 2023
- [c7]Agniv Chatterjee, Snehashis Majhi, Vincent Calcagno, François Brémond:
TrichANet: An Attentive Network for Trichogramma Classification. VISIGRAPP (4: VISAPP) 2023: 864-872 - [i2]Snehashis Majhi, Rui Dai, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond:
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection. CoRR abs/2301.07923 (2023) - 2022
- [c6]Snehashis Majhi, Deepak Ranjan Nayak, Ratnakar Dash, Pankaj Kumar Sa:
Multi-level 3DCNN with Min-Max Ranking Loss for Weakly-Supervised Video Anomaly Detection. ICONIP (7) 2022: 25-37 - 2021
- [c5]Snehashis Majhi, Srijan Das, François Brémond:
DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection. AVSS 2021: 1-8 - [c4]Snehashis Majhi, Deepak Ranjan Nayak:
Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images. CVIP (2) 2021: 171-180 - [c3]Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa:
Weakly-supervised Joint Anomaly Detection and Classification. FG 2021: 1-7 - [i1]Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa:
Weakly-supervised Joint Anomaly Detection and Classification. CoRR abs/2108.08996 (2021) - 2020
- [j1]Deepak Ranjan Nayak, Dibyasundar Das, Ratnakar Dash, Snehashis Majhi, Banshidhar Majhi:
Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images. Multim. Tools Appl. 79(21-22): 15381-15396 (2020) - [c2]Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa:
Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection. ICCCNT 2020: 1-6
2010 – 2019
- 2019
- [c1]Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa:
Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios. CVIP (2) 2019: 343-353
Coauthor Index
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