Hongjie started his own lab in early 2021 at Baylor College of Medicine (BCM). Currently, he is an assistant professor and CPRIT Scholar at Huffington Center on Aging & Department of Molecular and Human Genetics.

Jie Hong. The University of Hong Kong. Verified email at hku.hk. Robotics Control System Computer Vision Deep Learning. Articles Cited by Public access. Title. Sort. ... J Hong, W Li, J Han, J Zheng, P Fang, M Harandi, L Petersson. The …

Jan 28, 2022 · We present You Only Cut Once (YOCO) for performing data augmentations. YOCO cuts one image into two pieces and performs data augmentations individually within each piece. Applying YOCO improves the diversity of the augmentation per sample and encourages neural networks to recognize objects from partial information.

We present You Only Cut Once (YOCO) for per-forming data augmentations. YOCO cuts one image into two pieces and performs data augmen-tations individually within each piece. Applying YOCO improves the diversity of the augmentation per sample and encourages neural networks to rec-ognize objects from partial information.

Mar 3, 2025 · “China’s Relations with the World: Changing Agenda, New Issues, and Ongoing Debates.” (co-authored with Daniel Johanson and Tsunghan Wu) In New Perspectives on China’s Relations with the World: National, Transnational, and International (ISBN: 978-1-910814-47-5), edited by Jie Li, and Daniel Johanson, Tsunghan Wu. E-International ...

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Proceedings of the 39th International Conference on Machine Learning, PMLR 162:8196-8212, 2022. We present You Only Cut Once (YOCO) for performing data augmentations. YOCO cuts one image into two pieces and performs data augmentations individually within each piece.

world order and strategy, security architecture and alliance systems in the Indo-Pacific, foreign policy analysis. [email protected]. He received a bachelor's degree from the University of St...

作者：Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian Reid, Lars Petersson, Hongdong Li. [Deep Learning] & [Image Recognition] 这篇文章关注图像数据的数据增广技术。 在关于深度学习的实践中，数据增广被认为是一个性能提升的关键要素。 这篇文章提出了（You Only Cut Once）YOCO, 一个在现有数据增广技术上进一步提高局部多样性的数据增广方法。 该方法通过一系列的实验验证了有效性。 作者认为，现有的数据增广技术可以分为5类； …