We invite international students who are interested in project-based learning (PBL). The theme of PBL is on applications of Artificial Intelligence Techniques on Sustainable Development Goals (SDGs), Specifically on Gerontechnology, and health caring. Specifically, this project is to do researches on computer vision based on the modern deep learning (machine learning) techniques. In this research, you will learn deep learning techniques such as CNN, RNN, LSTM, AE, VAE, etc.

The possible applications and topics include:
(1) 3D human skeleton extraction,
(2) fine-grained skeleton-based action recognition or diseases diagnosis (e.g., dementia, Parkinson),
(3) action prediction for elderly monitoring,
(4) object (head/vehicle/ human/ object) pose estimation from a single RGB image,
(5) 3D human mesh model reconstruction from a single image,
(6) Motion skeleton synthesis,
(7) robotic grasp pose estimation from 3D point cloud data,
(8) AI-generated content (AIGC), such as (text/audio/image)-to-(image/video) generation,
(9) elderly caring application of AIGC,
(10) heart rate estimation from facial image sequence.

The intern student is expected to have some preliminary knowledge on NN (neural network) or deep learning and skilled in Python programming. He/She will learn how to apply state-of-the-art deep learning techniques to solve the indicated problems. For more detail about the topics, please visit the Youtube video at: https://youtu.be/tIwenpyFRhw. We especially welcome long-term internship (especially 3-6 months) who will use the internship results for their graduation projects. The scholarship will include flight fare, on-campus accommodation, and weekly stipend, in total NTD12000-15000/per month. The above scholarship can nearly cover 100% of the expenses to live in our university (CCU).