Snehashis Majhi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Anomaly Detection

Top Venues

Multim. Tools Appl.

Publications

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 (2024)
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)
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 (2023)
Agniv Chatterjee, Snehashis Majhi, Vincent Calcagno, François Brémond
TrichANet: An Attentive Network for Trichogramma Classification. VISIGRAPP (4: VISAPP) (2023)
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)
Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa
Weakly-supervised Joint Anomaly Detection and Classification. FG (2021)
Snehashis Majhi, Srijan Das, François Brémond, Ratnakar Dash, Pankaj Kumar Sa
Weakly-supervised Joint Anomaly Detection and Classification. CoRR (2021)
Snehashis Majhi, Deepak Ranjan Nayak
Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images. CVIP (2) (2021)
Snehashis Majhi, Srijan Das, François Brémond
DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection. AVSS (2021)
Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa
Temporal Pooling in Inflated 3DCNN for Weakly-supervised Video Anomaly Detection. ICCCNT (2020)
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) (2020)
Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa
Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios. CVIP (2) (2019)