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| title: Center for AI in Computer Vision |
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| license: cc-by-nc-nd-4.0 |
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| # Center for AI in Computer Vision |
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| At the Center for AI in Computer Vision, we are committed to narrowing the gap between theoretical research in machine learning and its practical applications in real-world scenarios. Our focus is on leveraging cutting-edge AI technologies to tackle complex problems across various domains. Our research and development efforts aim to create intelligent systems that not only advance the field but also make a meaningful impact on society. |
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| Our multidisciplinary research spans several key areas: |
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| Computer Vision: Advancing techniques in visual recognition and scene understanding to enable machines to interpret and interact with the visual world. |
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| Machine Learning & Deep Learning: Designing and training intelligent systems that learn from data to perform tasks with accuracy, efficiency, and adaptability. |
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| Responsible & Explainable AI: Ensuring our technologies are transparent, fair, and accountable. We develop AI systems that stakeholders can understand, trust, and govern. |
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| ## Research areas |
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| - Sonar and underwater image analysis |
| - Physics-informed simulation and digital twins |
| - Synthetic data, sim-to-real transfer and domain adaptation |
| - Generative models for image synthesis and augmentation |
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| ## Datasets |
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| | Dataset | Content | Access | |
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| | [S3Simulator Synthetic Sonar Dataset](https://huggingface.co/datasets/caicv/S3simulator_Synthetic_Sonar_dataset) | Ship and plane, 7,721 images | Request access | |
| | S3Simulator+ Synthetic Sonar Dataset (https://huggingface.co/datasets/caicv/S3simulator_Plus_Synthetic_Sonar_dataset) | Mine, 4,180 images | Request access | |
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| The datasets are free for non-commercial research. Access is granted after |
| you submit a request and return a signed Data Use Agreement. |
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| ## Publications |
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| - Kamal Basha S and Nambiar A., *S3simulator: A benchmarking side scan sonar |
| simulator dataset for underwater image analysis*, International Conference |
| on Pattern Recognition, 2024. |
| - Kamal Basha S, Anukul Kiran B, Nambiar A. and Rajendran S., *A Novel |
| Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar |
| Image Classification*, OCEANS 2025 - Great Lakes. |
| doi:10.23919/OCEANS59106.2025.11244959 |
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| ## Contact |
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| athiram@srmist.edu.in |
