Demo Data from EDBT 2026 / reviewers in the wild / expert
R. Mohan
dblp:40/5076
· DBLP profile ↗
8ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › shape modeling › surface geometry
developable surface |
0.0 | 1 | 1993 | Design of developable surfaces using duality between plane and point geometries · Comput. Aided Des. 1993 |
Geometric modeling and processing › computer-aided design › computer-aided geometric design
surface design |
0.0 | 1 | 1993 | Design of developable surfaces using duality between plane and point geometries · Comput. Aided Des. 1993 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | RePa-ViT: A Reparameterized Vision Transformer framework for insider threat detection with grayscale and color image analysis
Valaparla Rohini, R. Mohan |
Knowl. Based Syst. | 2 |
| 2023 | An efficient pattern-based approach for insider threat classification using the image-based feature representation
Krunal Randive, R. Mohan, Ambairam Muthu Sivakrishna |
J. Inf. Secur. Appl. | 2 |
| 2021 | A Fully Residual Convolutional Neural Network for Background Subtraction
Midhula Vijayan, Preeth Raguraman, R. Mohan |
Pattern Recognit. Lett. | 3 |
| 2020 | A Universal Foreground Segmentation Technique using Deep-Neural Network
Midhula Vijayan, R. Mohan |
Multim. Tools Appl. | 2 |
| 2020 | Contextual background modeling using deep convolutional neural network
Midhula Vijayan, R. Mohan, Preeth Raguraman |
Multim. Tools Appl. | 2 |
| 2018 | A State-of-Art Review on Automatic Video Annotation Techniques
Krunal Randive, R. Mohan |
ISDA (1) | 2 |
| 2018 | Background Modeling Using Deep-Variational Autoencoder
Midhula Vijayan, R. Mohan |
ISDA (1) | 2 |
| 1993 | Design of developable surfaces using duality between plane and point geometries
R. Mohan, C. Bodduluri, Bahran Ravani |
Comput. Aided Des. | 1 |