Ding-Jiun received his M.S. in Computer Vision at Carnegie Mellon University, advised by Prof. Fernando de la Torre. His recent researches focus on digital human reconstruction, including 3D head avatar enhancement and 3D textured garment reconstruction. Prior to this, he had the privilege to be advised by Prof. Yu-Chiang Frank Wang at National Taiwan University.
Yuanhao received his M.S. in Robotics in the Robotics Institute at Carnegie Mellon University, where he worked in the the Human Sensing Lab under the guidance of Prof. Fernando De la Torre. He earned my Sc.B. Honors degree in Applied Mathematics – Computer Science from Brown University in 2023, where he was advised by Prof. James Tompkin.
Ricky Yuan (Shao-Ji Yuan)
Ricky Yuan received his M.S. in Computer Vision from Carnegie Mellon University in December 2025. Prior to CMU, he earned his B.S. in Computer Science and Information Engineering from National Taiwan University. He has gained extensive industry experience through internships at Microsoft, Foxconn, and Aurora. Following graduation, Ricky will be joining Aurora as a Self-Driving Software Engineer.
Albert Mosella-Montoro‘s research interests lie in Computer Vision and Machine Learning. He has collaborated with Epic Games on research at the intersection of Computer Vision and Graphics, focusing on tools for 3D character design and animation.
Francisco‘s research interests lie in Computer Vision and Machine Learning. I have collaborated with Epic Games on research at the intersection of Computer Vision and Graphics, focusing on tools for 3D character design and animation.
Cheng is an Assistant Professor in the Department of Computer Science and Engineering at Texas A&M University. Before joining TAMU, he spent two wonderful years as a Postdoctoral Fellow in the Robotics Institute at Carnegie Mellon University, working with Prof. Fernando De la Torre.
Fernando has been a research faculty member in the Robotics Institute at Carnegie Mellon University since 2005 (currently Research Professor). His research interests are in the fields of Computer Vision and Machine Learning. In particular, applications to human health, augmented reality, virtual reality, and methods that focus on the data (not the model). He is directing the Human Sensing Laboratory (HSL).