Vivien Jiaqian Zhu 朱嘉倩
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vivienzhu.bsky.social
Vivien Jiaqian Zhu 朱嘉倩
@vivienzhu.bsky.social
AI@Cam, Cambridge Language Sciences Interdisciplinary Research Centre, University of Cambridge
https://www.ai.cam.ac.uk
Shorenstein APARC
Stanford University
Encina Hall, Room E301
Stanford, CA 94305-6055
日本のファッションにおける芸術、知識、動きの探求
Abstract This synthetic dataset comprises computer vision training data designed for multi-task learning applications including object detection, semantic segmentation, and depth estimation. The dataset features scenarios involving water-based environments with emphasis on dynamic human interactions, specifically entrance and exit sequences in aquatic settings captured from boat-mounted perspectives. Generated using synthetic data generation techniques, it provides pixel-perfect ground truth annotations across multiple vision tasks, enabling robust model training without privacy concerns or real-world data collection constraints. The dataset is intended for researchers developing AI systems for marine surveillance, autonomous watercraft navigation, and emotion-aware computer vision applications in challenging water-reflected lighting conditions. Abstract The Japanese concept of "ma間" intrigues fashion designers' imagination of the space between textile and skin. Exploring Art, Knowledge and Movement in Japanese Fashion tells a philosophical story of the Greek poiein, avant-garde Japanese fashion designers, the Paris high fashion scene, and Chinese classics from early modern to contemporary times. It traverses the terrain of history of art, performance studies, religion, and the eighteenth-century literary masterpiece The Dream of Red Chamber (Hongloumeng 紅樓夢, Story of the Stone 石頭記).
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August 3, 2026 at 5:38 AM