Fernando De la Torre received his B.Sc. degree in Telecommunications, as well as his M.Sc. and Ph. D degrees in Electronic Engineering from La Salle School of Engineering at Ramon Llull University, Barcelona, Spain in 1994, 1996, and 2002, respectively. He has been a research faculty member in the Robotics Institute at Carnegie Mellon University since 2005. In 2014 he founded FacioMetrics LLC to license technology for facial image analysis (acquired by Facebook in 2016). 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).
Lin ZHANG is a first-year MSCV student in the Robotics Institute at Carnegie Mellon University advised by Prof. Fernando De la Torre. He received Bsc in Computer Science and Math degree from HKUST, where he worked with Prof. Chi-Keung Tang and Prof. Yu-Wing Tai. His research interest lies in data-centric computer vision and its applications, including active learning, self-supervised learning, few-shot learning and image/video perception. He has published several papers in CVPR 2022, ICCV 2021 and BMVC 2021. Besides academia, he has interned in Bytedance AI Lab and MEGVII video detection group.
Linghan Xu is a first-year master student in the Robotics Institute at Carnegie Mellon University, advised by Prof. Fernando De la Torre. Previously, He completed his undergraduate degree at Tianjin University, where he worked on action recognition with Prof. Yi Zhang and Dr. Wenbo Li. He interned at National Laboratory of Pattern Recognition under the supervision of Prof. Yang Yang where he worked on person re-identification. He also worked at Deep reinforcement learning Lab with Prof. Yan Zheng and Prof. Jianye Hao about opponent modeling. His research interests include computer vision and machine learning.