2 citations · 7 across the 12 of their papers we have counts for
12 papers
Physics-informed simulation framework for realistic sonar image generation and statistical validation
Kamal Basha S, Athira Nambiar
Synthetic sonar datasets offer a scalable alternative to costly real-world acquisition, yet their utility remains limited by the absence of rigorous quantitative validation. We pre…
Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation
Gadi Hemanth Kumar, Athira Nambiar, Pankaj Bodani
Semantic segmentation of satellite imagery plays a vital role in land cover mapping and environmental monitoring. However, annotating large-scale, high-resolution satellite dataset…
Supervised Contrastive Machine Unlearning of Background Bias in Sonar Image Classification with Fine-Grained Explainable AI
Kamal Basha S, Athira Nambiar
Acoustic sonar image analysis plays a critical role in object detection and classification, with applications in both civilian and defense domains. Despite the availability of real…
Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis
Kamal Basha S, Athira Nambiar
Weld defect detection is crucial for ensuring the safety and reliability of piping systems in the oil and gas industry, especially in challenging marine and offshore environments.…
A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification
Kamal Basha S, Anukul Kiran B, Athira Nambiar +1
Sonar imaging is fundamental to underwater exploration, with critical applications in defense, navigation, and marine research. Shadow regions, in particular, provide essential cue…
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Sriram Mandalika, Harsha Vardhan, Athira Nambiar
Continual Learning entails progressively acquiring knowledge from new data while retaining previously acquired knowledge, thereby mitigating ``Catastrophic Forgetting'' in neural n…
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario
Sriram Mandalika, Lalitha V, Athira Nambiar
Driving scene understanding is a critical real-world problem that involves interpreting and associating various elements of a driving environment, such as vehicles, pedestrians, an…
Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting
Purushothaman Natarajan, Kamal Basha, Athira Nambiar
Sonar image synthesis is crucial for advancing applications in underwater exploration, marine biology, and defence. Traditional methods often rely on extensive and costly data coll…
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial Intelligence
Purushothaman Natarajan, Athira Nambiar
Deep learning techniques have revolutionized image classification by mimicking human cognition and automating complex decision-making processes. However, the deployment of AI syste…
S3Simulator: A benchmarking Side Scan Sonar Simulator dataset for Underwater Image Analysis
Kamal Basha S, Athira Nambiar
Acoustic sonar imaging systems are widely used for underwater surveillance in both civilian and military sectors. However, acquiring high-quality sonar datasets for training Artifi…
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language Models
Purushothaman Natarajan, Athira Nambiar
Deep Neural Networks (DNNs) have revolutionized various fields by enabling task automation and reducing human error. However, their internal workings and decision-making processes…
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios
Sriram Mandalika, Athira Nambiar
Most of the sophisticated AI models utilize huge amounts of annotated data and heavy training to achieve high-end performance. However, there are certain challenges that hinder the…