activity
20172026
most citedIdentifying Clickbait: A Multi-Strategy Approach Using Neural Networks

48 citations · 54 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

DisParQ: Self-Supervised Part Concepts for Interpretable Vision Foundation Models

Adam Pardyl, Siddhartha Gairola, Sukrut Rao +4

Concept-based vision models represent images through an intermediate layer of human-inspectable concepts, so what a model relies on can be traced to those concepts. However, those…

cs.CV2026

DAVE: Distribution-aware Attribution via ViT Gradient Decomposition

Adam Wróbel, Siddhartha Gairola, Jacek Tabor +3

Vision Transformers (ViTs) have become a dominant architecture in computer vision, yet producing stable and high-resolution attribution maps for these models remains challenging. A…

cs.CV2025

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations

Siddhartha Gairola, Moritz Böhle, Francesco Locatello +1

Post-hoc importance attribution methods are a popular tool for "explaining" Deep Neural Networks (DNNs) and are inherently based on the assumption that the explanations can be appl…

cs.HC2022★ 2 cited

Towards Automating Retinoscopy for Refractive Error Diagnosis

Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay +6

Refractive error is the most common eye disorder and is the key cause behind correctable visual impairment, responsible for nearly 80% of the visual impairment in the US. Refractiv…

eess.IV2022★ 2 cited

Keratoconus Classifier for Smartphone-based Corneal Topographer

Siddhartha Gairola, Pallavi Joshi, Anand Balasubramaniam +3

Keratoconus is a severe eye disease that leads to deformation of the cornea. It impacts people aged 10-25 years and is the leading cause of blindness in that demography. Corneal to…

cs.HC2021★ 1 cited

SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection

Siddhartha Gairola, Murtuza Bohra, Nadeem Shaheer +6

Keratoconus is a severe eye disease affecting the cornea (the clear, dome-shaped outer surface of the eye), causing it to become thin and develop a conical bulge. The diagnosis of…

cs.SD2020

RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting

Siddhartha Gairola, Francis Tom, Nipun Kwatra +1

Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in…

cs.CV2020★ 1 cited

SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation

Siddhartha Gairola, Mayur Hemani, Ayush Chopra +1

Few-shot segmentation (FSS) methods perform image segmentation for a particular object class in a target (query) image, using a small set of (support) image-mask pairs. Recent deep…

cs.IR2017★ 48 cited

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola +2

Online media outlets, in a bid to expand their reach and subsequently increase revenue through ad monetisation, have begun adopting clickbait techniques to lure readers to click on…