Kaicheng Yu
About
Kaicheng Yu has authored 11 papers that have received a total of 199 indexed citations.
This includes 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Materials Chemistry. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (2 papers). Kaicheng Yu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Multimodal Machine Learning Applications (2 papers) and collaborates with scholars based in Switzerland, China and Australia. Kaicheng Yu's co-authors include Mathieu Salzmann, Martin Jaggi, René Ranftl, Claudiu Musat and Liang Zheng and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Materials Science Materials in Electronics.
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