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Workshop Sessions
Workshop Sessions
The 2025 AIPR Workshop features four focused tracks that explore critical and emerging areas in applied AI and computer vision. Each track brings together researchers and practitioners to share advancements, challenges, and future directions.
Track 1: Geospatial AI, Remote Sensing, and Foundation Models
Track 1: Geospatial AI, Remote Sensing, and Foundation Models
Includes work on satellite imagery, SAR/EO/Hyperspectral fusion, geospatial foundation models, change detection, environmental monitoring, and scalable model training.
Track 2: Generative AI, Vision, and Language Models
Track 2: Generative AI, Vision, and Language Models
Covers generative image pipelines, multimodal reasoning, small LLMs, synthetic data, and multimodal interaction in practical domains.
Track 3: Medical and Biomedical Imaging
Track 3: Medical and Biomedical Imaging
Focuses on MRI/MRA segmentation, lesion detection, model evaluation, and data augmentation in clinical settings.
Track 4: Trustworthy AI, Robotics, and Autonomous Systems
Track 4: Trustworthy AI, Robotics, and Autonomous Systems
Encompasses robustness, adversarial defense, label quality, AV perception, indoor robotics, and decision-making under uncertainty.
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