81 citations · 275 across the 51 of their papers we have counts for
60 papers · 1 filter
NumBench: Diagnosing Counting Failures in Text-to-Image Models
Sandeep Wadhwa, Mayank Vatsa, Richa Singh +2
Text-to-image (T2I) models often generate the wrong number of objects, yet existing benchmarks are too small or weakly controlled to explain why. We introduce \textbf{NumBench}, a…
Unbiased Model Prediction Without Using Protected Attribute Information
Puspita Majumdar, Surbhi Mittal, Saheb Chhabra +2
The problem of bias persists in the deep learning community as models continue to provide disparate performance across different demographic subgroups. Therefore, several algorithm…
NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
Misaal Khan, Mayank Vatsa, Kuldeep Singh +1
Child malnutrition remains a global crisis, yet existing screening methods are laborious and poorly scalable, hindering early intervention. In this work, we present NutriScreener,…
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
Mayank Vatsa, Aparna Bharati, Richa Singh
The architectural blueprint of today's leading text-to-image models contains a fundamental flaw: an inability to handle logical composition. This survey investigates this breakdown…
TAIGen: Training-Free Adversarial Image Generation via Diffusion Models
Susim Roy, Anubhooti Jain, Mayank Vatsa +1
Adversarial attacks from generative models often produce low-quality images and require substantial computational resources. Diffusion models, though capable of high-quality genera…
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral +2
Do contemporary diffusion models preserve the class geometry of hyperspherical data? Standard diffusion models rely on isotropic Gaussian noise in the forward process, inherently f…
LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security
Nidheesh Gorthi, Kartik Thakral, Rishabh Ranjan +2
Biometric authentication systems are increasingly being deployed in critical applications, but they remain susceptible to spoofing. Since most of the research efforts focus on moda…
Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models
Kartik Thakral, Tamar Glaser, Tal Hassner +2
Existing unlearning algorithms in text-to-image generative models often fail to preserve the knowledge of semantically related concepts when removing specific target concepts: a ch…
Continual Unlearning for Foundational Text-to-Image Models without Generalization Erosion
Kartik Thakral, Tamar Glaser, Tal Hassner +2
How can we effectively unlearn selected concepts from pre-trained generative foundation models without resorting to extensive retraining? This research introduces `continual unlear…
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…
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…
Adventures of Trustworthy Vision-Language Models: A Survey
Mayank Vatsa, Anubhooti Jain, Richa Singh
Recently, transformers have become incredibly popular in computer vision and vision-language tasks. This notable rise in their usage can be primarily attributed to the capabilities…
Multi-task Explainable Skin Lesion Classification
Mahapara Khurshid, Mayank Vatsa, Richa Singh
Skin cancer is one of the deadliest diseases and has a high mortality rate if left untreated. The diagnosis generally starts with visual screening and is followed by a biopsy or hi…
Are Face Detection Models Biased?
Surbhi Mittal, Kartik Thakral, Puspita Majumdar +2
The presence of bias in deep models leads to unfair outcomes for certain demographic subgroups. Research in bias focuses primarily on facial recognition and attribute prediction wi…
DeePhy: On Deepfake Phylogeny
Kartik Narayan, Harsh Agarwal, Kartik Thakral +3
Deepfake refers to tailored and synthetically generated videos which are now prevalent and spreading on a large scale, threatening the trustworthiness of the information available…
On Biased Behavior of GANs for Face Verification
Sasikanth Kotti, Mayank Vatsa, Richa Singh
Deep Learning systems need large data for training. Datasets for training face verification systems are difficult to obtain and prone to privacy issues. Synthetic data generated by…
Anatomizing Bias in Facial Analysis
Richa Singh, Puspita Majumdar, Surbhi Mittal +1
Existing facial analysis systems have been shown to yield biased results against certain demographic subgroups. Due to its impact on society, it has become imperative to ensure tha…
MTCD: Cataract Detection via Near Infrared Eye Images
Pavani Tripathi, Yasmeena Akhter, Mahapara Khurshid +4
Globally, cataract is a common eye disease and one of the leading causes of blindness and vision impairment. The traditional process of detecting cataracts involves eye examination…
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection
Aayushi Agarwal, Akshay Agarwal, Sayan Sinha +2
The rapid progress in the ease of creating and spreading ultra-realistic media over social platforms calls for an urgent need to develop a generalizable deepfake detection techniqu…
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
Puspita Majumdar, Surbhi Mittal, Richa Singh +1
Identifying and mitigating bias in deep learning algorithms has gained significant popularity in the past few years due to its impact on the society. Researchers argue that models…
Indian Masked Faces in the Wild Dataset
Shiksha Mishra, Puspita Majumdar, Richa Singh +1
Due to the COVID-19 pandemic, wearing face masks has become a mandate in public places worldwide. Face masks occlude a significant portion of the facial region. Additionally, peopl…
Enhancing Fine-Grained Classification for Low Resolution Images
Maneet Singh, Shruti Nagpal, Mayank Vatsa +1
Low resolution fine-grained classification has widespread applicability for applications where data is captured at a distance such as surveillance and mobile photography. While fin…