VLDB 2026 Research / reviewers in the wild / expert
Abhishek Basu
dblp:131/1123
· DBLP profile ↗
8ranked-venue papers
0as first author
7since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 6 · 5 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A robust visual information hiding framework based on HVS pixel adaptive alpha blending (HPAAB) technique
Bishwabara Panda, Manas Ranjan Nayak, Pradeep Kumar Mallick, Abhishek Basu |
Multim. Tools Appl. | 4 |
| 2024 | On unique framework-based implementation of a novel image watermarking scheme
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay |
Multim. Tools Appl. | 3 |
| 2024 | Lung cancer detection from thoracic CT scans using an ensemble of deep learning models
Nandita Gautam, Abhishek Basu, Ram Sarkar |
Neural Comput. Appl. | 2 |
| 2023 | Semantic Parsing and Sense Tagging the Princeton WordNet Gloss CorpusabstractIn 2008, the Princeton team released the last version of the "Princeton Annotated Gloss Corpus".In this corpus.The word forms from the definitions and examples (glosses) of Princeton Word-Net are manually linked to the contextappropriate sense in WordNet.However, the annotation was not complete, and the dataset was never officially released as part of WordNet 3.0, remaining as one of the standoff files available for download.Eleven years later, in 2019, one of the authors of this paper restarted the project aiming to complete the sense annotation of the approximately 200 thousand word forms not yet annotated.Here, we provide additional motivations to complete this dataset and report the progress in the work and evaluations.Intending to provide an extra level of consistency in the sense annotation and a deep semantic representation of the definitions and examples promoting WordNet from a lexical resource to a lightweight ontology, we now employ the English Resource Grammar (ERG), a broad-coverage HPSG grammar of English to parse the sentences and project the sense annotations from the surface words to the ERG predicates.We also report some initial steps on upgrading the corpus to WordNet 3.1 to facilitate mapping the data to other lexical resources. Alexandre Rademaker, Abhishek Basu, Rajkiran Veluri |
GWC | 2 |
| 2022 | An image data hiding technique using Differential Evolution
Sharbari Basu, Arunothpol Debnath, Abhishek Basu, Tirtha Sankar Das |
Multim. Tools Appl. | 3 |
| 2021 | Implementation of image copyright protection tool using hardware-software co-simulation
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay, Tirtha Sankar Das |
Multim. Tools Appl. | 2 |
| 2021 | Hardware execution of a saliency map based digital image watermarking framework
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay, Rajeev Kamal |
Multim. Tools Appl. | 2 |
| 2020 | On the implementation of a copyright protection scheme using digital image watermarking
Subhrajit Sinha Roy, Abhishek Basu, Avik Chattopadhyay |
Multim. Tools Appl. | 2 |