About
Dr. Pengcheng Fang received his Bachelor's degree from Shanxi University in China, followed by a Master's degree from Lancaster University. He completed his PhD at the University of Southampton.
Research
Research interests
- Research interests Multi-object TrackingComputer visionGenerationMRI image reconstruction and segmentationMulti-modality modelWildlife biometrics
Current research
Dr. Fang is currently engaged in several interdisciplinary research projects at the intersection of artificial intelligence and real-world applications. His work focuses on:
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Human motion generation, where he explores generative models and transformer-based architectures for producing realistic and controllable movements from textual or sensory inputs.
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Multimodal foundation models, aiming to unify visual, textual, and structural data for improved perception, understanding, and reasoning across domains.
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Multi-object tracking (MOT), particularly in complex and unconstrained environments, using deep tracking-by-detection methods and video transformers.
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Wildlife biometrics, focusing on animal identification and behavior analysis using computer vision, with an emphasis on non-invasive recognition of species such as donkeys in natural settings.
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Medical image reconstruction and segmentation, where he applies lightweight Mamba-based models and diffusion techniques to enhance MRI imaging and improve diagnostic accuracy.
His research integrates model efficiency, representation learning, and real-world deployment concerns, with applications ranging from intelligent surveillance to conservation and healthcare.