Education
Technische Universit ̈at Wien (TUWien)
Ph. D in Computer Science, advised by Dongheui Lee. Part of PERSEO project: ETN on PErsonalized Robotics as SErvice Oriented applications Supported by Marie Skłodowska-Curie grant.
Ph. D in Computer Science, advised by Dongheui Lee. Part of PERSEO project: ETN on PErsonalized Robotics as SErvice Oriented applications Supported by Marie Skłodowska-Curie grant.
Spring 2022 - Current
Technische Universit ̈at M ̈unchen (TUM)
Ph. D in Computer Science, advised by Dongheui Lee. Part of PERSEO project: ETN on PErsonalized Robotics as SErvice Oriented applications Supported by Marie Skłodowska-Curie grant.
Ph. D in Computer Science, advised by Dongheui Lee. Part of PERSEO project: ETN on PErsonalized Robotics as SErvice Oriented applications Supported by Marie Skłodowska-Curie grant.
Fall 2021 - Spring 2022
Universitat Politecnica de Catalunya (UPC)
B.S and M.SC in Telecommunications engineering, with specialization in deep learning.
B.S and M.SC in Telecommunications engineering, with specialization in deep learning.
Fall 2016 - Spring 2021
Employment
CARNET
Research Intern on the development of initial proposals for Project RideSafeUM. Also worked on the development of computer vision applications for Project AntiTrash.
Research Intern on the development of initial proposals for Project RideSafeUM. Also worked on the development of computer vision applications for Project AntiTrash.
Feb 2020 - May 2021
Seattle, WA
Seattle, WA
CSIC - Mediterranean Institute for Advanced Studies (IMEDEA)
Researcher on the development of deep neural networks to count, detect and segment fishes through computer vision.
Researcher on the development of deep neural networks to count, detect and segment fishes through computer vision.
Sep 2020 - Jan 2021
Mallorca, Spain
Mallorca, Spain
Publications
Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction
Generating robot motions in social interactions conditioned on semantics, and without annotated robot data!
ICRA 2024
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
How can we tackle all variations of human motion synthesis using a unique architecture? UNIMASK-M
AAAI 2024
Unsupervised human-to-robot motion retargeting via expressive latent space
Learn how real robots can imitate human movements from different modalities in an unsupervised manner
Humanoids 2023
HOI4ABOT: Human-Object Interaction Anticipation for Assistive roBOTs
Detect and anticipate human-object interactions for intention reading, which facilitate robots to assist humans.
CoRL 2023
Human–object interaction prediction in videos through gaze following
Leveraging gaze provides essential cues for predicting the human intention, which helps to anticipate the human-object interactions.
CVIU, 2023
Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?
Diffusion models offer the right balance between likelihood and diversity when synthesizing human motions from past observations.
ICRA, 2023
Intention-Conditioned Long-Term Human Egocentric Action Forecasting
Understanding the human intention is key for a better prediction of what a human will do in the long-term.
WACV, 2023
Robust Human Motion Forecasting using Transformer-based Model
Decoupling space and time in human motion forecasting allows for more robust and efficient models.
IROS, 2022