Pursue a master's degree in electronic information, focusing on computer vision and machine learning. GPA: 3.8/4.0 B.S. in Electronic Information Science and Technology. Key courses: Information Theory and Coding, Pattern Recognition and Artificial Intelligence, and others.

‪Fudan University‬ - ‪‪引用次数：657 次‬‬ - ‪Computer vision‬

Proceedings. 2005 International Conference on Communications, Circuits and …

I'm a second-year graduate student from Fudan University, under the supervision of Prof. Tao Chen. I am doing a research internship at Tencent PCG, where I collaborate closely with Dr. Xin Chen, Dr. Wen Liu, and Dr. Gang Yu. 🔭 Welcome to visit our new work MotionGPT, a unified motion-language model for multiple motion tasks.

Biao Jiang Phosphorus-doped activated carbon is reported for the first time as a highly selective catalyst for n-hexane dehydroaromatization to benzene and hydrogen with 100%...

Professor Jiang received his Ph.D. in Electrical Engineering from The City College of New York (2013). He spent five years as an adjunct faculty member at City College of New York, Brooklyn College and Hostos Community College teaching both graduate and undergraduate level courses, then moved to Hostos Community College as an Assistant ...

New plane wave simulation for a 2mm steel layer with stress-strain elastic wave equation. Carotid artery ultrasound imaging and 3D visualization. Dynamic changes compensation followed by 3D image...

Biao Jiang was born in Luan, Anhui, China, in 1994. He received the B.E. degree in mechanical engineering from Jiangxi University of Science and Technology, Ganzhou, China, in 2017. He is currently working toward the M.E. degree in mechanical engineering with the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen ...

2023年6月26日 · By fusing language data with large-scale motion models, motion-language pre-training that can enhance the performance of motion-related tasks becomes feasible. Driven by this insight, we propose MotionGPT, a unified, versatile, and user-friendly motion-language model to handle multiple motion-relevant tasks.