We are always looking for motivated students, at all levels. If you are interested, check our group's webpage and contact me to know more about opportunities.
Supervision
Current students
2023 -
Jorge Pina.
Deep learning for 360º audiovisual saliency prediction.
MSc student
Ongoing
Former students
Jun 22
Andres Fandos.
Deep learning models for 3D mesh saliency prediction.
MSc student
Grade: 9.5/10
Feb 22
Edurne Bernal.
Modeling Human Visual Behavior in Dynamic 360º Environments.
MSc student
Grade: 10/10
Sep 23
Carmen Real.
Development of an application to study the effectiveness when using Redirected Walking methods in Virtual Reality.
BSc student
Grade: 9.5/10
Sep 23
Gabriel Olteanu.
Evaluation of top-down saliency models in a virtual reality environment.
BSc student
Grade: /10
Jun 22
Santiago Jimenez.
Audiovisual saliency prediction in 360º content.
BSc student
Grade: 9.6/10
Feb 22
Pedro Perez.
Development of a data collection and visualization tool related to content exploration in VR.
BSc student
Grade: 9.0/10
Sep 21
Fernando Peña.
Deep learning models for eye tracking data.
BSc student
Grade: 8.5/10
Jun 21
Blanca Lasheras.
Study of Advanced Driver Assistance Systems and a proposal for the application of eye-tracking techniques.
BSc student
Grade: 9.0/10
Jun 20
Javier Gimenez.
Single-image depth estimation of 360º panoramas with deep learning.
BSc student
Grade: 9.0/10
Teaching
Modeling and Simulation of Appearance.
Fall 2022.
Master level
Virtual Reality.
Spring 2022, Spring 2021.
Master level
Computer Graphics.
Fall 2021.
Bachelor level
Programming Fundamentals.
Fall 2021, Fall 2022.
Bachelor level