activity
20202025
most citedSAFER: Development and Evaluation of an IoT Device Risk Assessment Framework in a Multinational Organization

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering

Akash Gupta, Amos Storkey, Mirella Lapata

Large Multimodal Models (LMMs) often rely on in-context learning (ICL) to perform new visual question answering (VQA) tasks with minimal supervision. However, ICL performance, espe…

cs.CV2023

ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers

Akash Gupta, Rohun Tripathi, Wondong Jang

Lack of audio-video synchronization is a common problem during television broadcasts and video conferencing, leading to an unsatisfactory viewing experience. A widely accepted para…

eess.IV2021★ 2 cited

Classification of histopathology images using ConvNets to detect Lupus Nephritis

Akash Gupta, Anirudh Reddy, CV Jawahar +1

Systemic lupus erythematosus (SLE) is an autoimmune disease in which the immune system of the patient starts attacking healthy tissues of the body. Lupus Nephritis (LN) refers to t…

q-bio.BM2021★ 2 cited

APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design

Rishal Aggarwal, Akash Gupta, U Deva Priyakumar

Protein-ligand complex structures have been utilised to design benchmark machine learning methods that perform important tasks related to drug design such as receptor binding site…

cs.CR2020★ 8 cited

SAFER: Development and Evaluation of an IoT Device Risk Assessment Framework in a Multinational Organization

Pascal Oser, Sebastian Feger, Paweł W. Woźniak +6

Users of Internet of Things (IoT) devices are often unaware of their security risks and cannot sufficiently factor security considerations into their device selection. This puts ne…