Picasso

Picasso face

Half face

Face2signal

Simpsons face

Simpsons face

Part-based face

Part-based face

Face in motion

Face in motion

Caricature face

Caricature face

Illuminated face

Illuminated face

Line art vector face

Line art vector face

Cartoon Face

Cartoon face

Fourier Face

Fourier face

Pixelated Face

Pixelated face

Simple Face

Simple face

Half face

Half face



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).

Curriculum Vitae (pdf)

Interested in visiting the Human Sensing Laboratory to work on machine learning and/or computer vision? Contact me .

News

  • Looking for PostDocs in the area of AR/VR, Human Sensing, and Data Focused Computer Vision. Please get in touch with me.
  • I'm returning to the Robotics Institute full-time in May 2021 after four fantastic years at Facebook/Meta. My team @FB/Meta developed the core computer vision techniques (e.g., face tracking, hand detection, hair coloring, background removal) for mobile AR effects for Messenger, Instagram, Facebook and Portal. These algorithms are carried by more than a 1/3 of the world's population at all times! Please have a look at Spark
  • Area Chair for CVPR 2022, ICCV 2021.
  • In the recent decade (2005-2016), the HSL has welcomed more than ~120 undergraduates. 68 students continued their graduate education in computer vision, computer graphics, and/or machine learning. As a undergraduate visiting member of the HSL, you have more than 50% chance of becoming a scientist in these fields!