Kevin J. Shih

20 papers and 836 indexed citations i.

Kevin J. Shih has authored 20 papers that have received a total of 836 indexed citations. This includes 14 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. The topics of these papers are Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (5 papers). Kevin J. Shih is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (5 papers) and collaborates with scholars based in United States, United Kingdom and The Netherlands. Kevin J. Shih's co-authors include Bryan Catanzaro, Andrew Tao, Derek Hoiem, Ayşegül Dündar and Fitsum A. Reda and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence