| Deep extreme learning machine with leaky rectified linear unit for multiclass classification of pathological brain images DR Nayak, D Das, R Dash, S Majhi, B Majhi Multimedia Tools and Applications 79, 15381-15396, 2020 | 45 | 2020 |
| Weakly-supervised joint anomaly detection and classification S Majhi, S Das, F Brémond, R Dash, PK Sa 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 16* | 2021 |
| Two-Stream CNN architecture for anomalous event detection in real world scenarios S Majhi, R Dash, PK Sa Computer Vision and Image Processing: 4th International Conference, CVIP …, 2020 | 13 | 2020 |
| DAM: Dissimilarity Attention Module for Weakly-supervised Video Anomaly Detection S Majhi, S Das, F Brémond 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 12 | 2021 |
| Temporal pooling in inflated 3DCNN for weakly-supervised video anomaly detection S Majhi, R Dash, PK Sa 2020 11th International Conference on Computing, Communication and …, 2020 | 7 | 2020 |
| Feature Modulating Two-Stream Deep Convolutional Neural Network for Glaucoma Detection in Fundus Images S Majhi, DR Nayak International Conference on Computer Vision and Image Processing, 171-180, 2022 | 4 | 2022 |
| Srijan Das, and François Brémond S Majhi Dam: Dissimilarity attention module for weakly-supervised video anomaly …, 2021 | 4 | 2021 |
| Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection S Majhi, R Dai, Q Kong, L Garattoni, G Francesca, F Bremond Computer Vision and Image Understanding 241, 103955, 2024 | 2 | 2024 |
| TrichANet: An Attentive Network for Trichogramma Classification A Chatterjee, S Majhi, F Calcagno, V. and Brémond Proceedings of VISAPP 2023, ISBN: 978-989-758-634-7 4 (https://www …, 2023 | 1 | 2023 |
| OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-Supervised Video Anomaly Detection S Majhi, R Dai, Q Kong, L Garattoni, G Francesca, F Brémond Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Weakly-supervised Anomaly Detection and Classification in Untrimmed Surveillance Videos S Majhi | | 2021 |
| Local Texture Features for Content-Based Image Retrieval of Interstitial Lung Disease Patterns on HRCT Lung Images JK Dash, M Patro, S Majhi, G Girish, P Nancy Anurag International Conference on Innovative Computing and Communications …, 2020 | | 2020 |
| OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection Supplementary Material S Majhi, R Dai, Q Kong, L Garattoni, G Francesca, F Brémond | | |
Ratnakar DashAssociate professor, CSE Department , NIT RourkelaVerified email at nitrkl.ac.in
