81 citations · 275 across the 51 of their papers we have counts for
6 papers · 1 filter
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
Anubhooti Jain, Susim Roy, Kwanit Gupta +2
Deep learning models, such as those used for face recognition and attribute prediction, are susceptible to manipulations like adversarial noise and unintentional noise, including G…
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions
Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral +2
Traditional deep learning models rely on methods such as softmax cross-entropy and ArcFace loss for tasks like classification and face recognition. These methods mainly explore ang…
Navigating Text-to-Image Generative Bias across Indic Languages
Surbhi Mittal, Arnav Sudan, Mayank Vatsa +3
This research investigates biases in text-to-image (TTI) models for the Indic languages widely spoken across India. It evaluates and compares the generative performance and cultura…
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
Yasmeena Akhter, Rishabh Ranjan, Richa Singh +1
This research addresses the challenges of diagnosing chest X-rays (CXRs) at low resolutions, a common limitation in resource-constrained healthcare settings. High-resolution CXR im…
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa +2
Existing vision-language models (VLMs) treat text descriptions as a unit, confusing individual concepts in a prompt and impairing visual semantic matching and reasoning. An importa…
Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration
Mahapara Khurshid, Mayank Vatsa, Richa Singh
The rising global prevalence of skin conditions, some of which can escalate to life-threatening stages if not timely diagnosed and treated, presents a significant healthcare challe…