Lei Kang is a PostDoc researcher at the Computer Vision Center in Barcelona with 11 years of experience focused on attention models and transfer learning for multi-writer handwriting recognition. He holds a doctoral background in document analysis and applies deep learning techniques to improve handwriting generalization across diverse writers. His work bridges academic rigor and practical model transfer strategies, often tackling variability and annotation scarcity in historical and modern handwriting corpora. Based in Catalonia, he brings a sustained research track record and a pragmatic focus on deployable, robust recognition systems.
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