Explanipedia

Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything Open

Huan Lin, Yunzhi Shi, Tong Geng, Weijie Zhao, Wei Wang , et al. · 2025

Multimodal large language models (MLLMs) have shown strong capabilities but remain limited to fixed modality pairs and require costly fine-tuning with large aligned datasets. Building fully omni-capable models that can integrate text, imag…

Multimodal dual-stage feature refinement for robust skin lesion classification Open

Mahapara Khurshid, Richa Singh, Mayank Vatsa · 2025

Skin cancer continues to pose a formidable global health challenge, where expedient detection is paramount to diminishing mortality. However, the inherent heterogeneity of skin lesions, exacerbated by class imbalance, frequently undermines…

Silicodata: An Annotated Benchmark CXR Dataset for Silicosis Detection Open

Yasmeena Akhter, Rishabh Ranjan, Mayank Vatsa, Richa Singh, Santanu Chaudhury , et al. · 2025

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models Open

S. N. Roy, Anubhooti Jain, Mayank Vatsa, Richa Singh · 2025

Adversarial attacks from generative models often produce low-quality images and require substantial computational resources. Diffusion models, though capable of high-quality generation, typically need hundreds of sampling steps for adversa…

How To Impact AI In Traffic Solution Open

Masood Saleem Mir, D.S. Chauhan, Dakshesh Solanki, Rishi Solanki, Anees A. Ansari , et al. · 2025

Introduction: Traffic congestion has been a city issue long enough, and the existing systems have not succeeded in managing it. AI-based models facilitate real-time optimization with enhanced analytics. AI application to traffic management…

Artificial Intelligence: A Paradigm Shift in General Dental Practice Open

Vishnu Govind Thekkumbad, Mounica Pinnamaneni, Sruthi Kalakota, Krishma Pandoh, Shariq Hussain , et al. · 2025

AI is rapidly transforming the landscape of general dental practice by enhancing diagnostic accuracy, offering innovative treatment strategies, and streamlining administrative workflows. This descriptive review explores the latest advancem…

AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification Open

Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim, Mayank Vatsa, Richa Singh , et al. · 2025

Face recognition in the presence of age and quality variations poses a formidable challenge. While recent margin-based loss functions have shown promise in addressing these variations individually, real-world scenarios such as selfie versu…

3D virtual reality and image processing in landscape design Open

Yoseline Angel, M. Lingaraj, B. Adithya, Richa Singh, Sakthi Murugan S , et al. · 2025

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions Open

Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa, Richa Singh · 2024

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 angular features in a hyperspherical space, often resulting in…

Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations Open

Jaisidh Singh, Ishaan Shrivastava, Mayank Vatsa, Richa Singh, Aparna Bharati · 2024

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 important aspect of reasoning in logic and language is negations. …

BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes Open

Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa , et al. · 2024

Automatic recognition of bird behavior from long-term, un controlled outdoor imagery can contribute to conservation efforts by enabling large-scale monitoring of bird populations. Current techniques in AI-based wildlife monitoring have foc…

Adventures of Trustworthy Vision-Language Models: A Survey Open

Mayank Vatsa, Anubhooti Jain, Richa Singh · 2024

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 offered by attention mechanisms and the outstanding abilit…

Optimizing Skin Lesion Classification via Multimodal Data and Auxiliary Task Integration Open

Mahapara Khurshid, Mayank Vatsa, Richa Singh · 2024

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 challenge. This issue is particularly acute in remote areas where…

Adventures of Trustworthy Vision-Language Models: A Survey Open

Mayank Vatsa, Anubhooti Jain, Richa Singh · 2023

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 offered by attention mechanisms and the outstanding abilit…

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms Open

Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser , et al. · 2023

Artificial Intelligence (AI) has made its way into various scientific fields, providing astonishing improvements over existing algorithms for a wide variety of tasks. In recent years, there have been severe concerns over the trustworthines…

Multi-task Explainable Skin Lesion Classification Open

Mahapara Khurshid, Mayank Vatsa, Richa Singh · 2023

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 histopathological examination. Early detection can aid in low…

On AI-Assisted Pneumoconiosis Detection from Chest X-rays Open

Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa, Santanu Chaudhury · 2023

According to theWorld Health Organization, Pneumoconiosis affects millions of workers globally, with an estimated 260,000 deaths annually. The burden of Pneumoconiosis is particularly high in low-income countries, where occupational safety…

Long-term Monitoring of Bird Flocks in the Wild Open

Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh , et al. · 2023

Monitoring and analysis of wildlife are key to conservation planning and conflict management. The widespread use of camera traps coupled with AI-based analysis tools serves as an excellent example of successful and non-invasive use of tech…

Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Open

Rishabh Ranjan, Mayank Vatsa, Richa Singh · 2023

Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a range of applications including person authentication to bank…

NutriAI: AI-Powered Child Malnutrition Assessment in Low-Resource Environments Open

Misaal Khan, Shivang Agarwal, Mayank Vatsa, Richa Singh, Kuldeep Singh · 2023

Malnutrition among infants and young children is a pervasive public health concern, particularly in developing countries where resources are limited. Millions of children globally suffer from malnourishment and its complications1. Despite …

Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects Open

Rishabh Ranjan, Mayank Vatsa, Richa Singh · 2023

Audio has become an increasingly crucial biometric modality due to its ability to provide an intuitive way for humans to interact with machines. It is currently being used for a range of applications, including person authentication to ban…

Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021 Open

Rachael E. Jack, Vishal M. Patel, Pavan Turaga, Mayank Vatsa, Rama Chellappa , et al. · 2023

The IEEE International Conference on Automatic Face and Gesture Recognition (FG) is the premier international conference on vision-based automatic face and body behavior analysis and applications. Since the first meeting in Zurich in 1994,…

IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract) Open

Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan, Aparna Bharati, Richa Singh , et al. · 2023

Recent advancements in Generative Adversarial Networks (GANs) have made it possible to obtain high-quality face images of synthetic identities. These networks see large amounts of real faces in order to learn to generate realistic looking …

AI-based radiodiagnosis using chest X-rays: A review Open

Yasmeena Akhter, Richa Singh, Mayank Vatsa · 2023

Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap radiological examination method in medical sciences. CXRs can aid in diagnosing many lung ailments such as Pneumonia, Tuberculosis, Pneumoconiosis, COV…

Corruption Depth: Analysis of DNN Depth for Misclassification Open

Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini Ratha · 2023

A novel abnormality annotation database for COVID-19 affected frontal lung X-rays Open

Surbhi Mittal, Vasantha Kumar Venugopal, Vikas Agarwal, Manu Malhotra, Jagneet Singh Chatha , et al. · 2022

Consistent clinical observations of characteristic findings of COVID-19 pneumonia on chest X-rays have attracted the research community to strive to provide a fast and reliable method for screening suspected patients. Several machine learn…

On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review Open

Misaal Khan, Mahapara Khurshid, Mayank Vatsa, Richa Singh, Mona Duggal , et al. · 2022

A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neon…

Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images Open

Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore · 2022

Presentation attack detection (PAD) algorithms have become an integral requirement for the secure usage of face recognition systems. As face recognition algorithms and applications increase from constrained to unconstrained environments an…

Facial Retouching and Alteration Detection Open

Puspita Majumdar, Akshay Agarwal, Mayank Vatsa, Richa Singh · 2022

On the social media platforms, the filters for digital retouching and face beautification have become a common trend. With the availability of easy-to-use image editing tools, the generation of altered images has become an effortless task.…

MagNet: Detecting Digital Presentation Attacks on Face Recognition Open

Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore · 2021

Presentation attacks on face recognition systems are classified into two categories: physical and digital. While much research has focused on physical attacks such as photo, replay, and mask attacks, digital attacks such as morphing have r…

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