Hello! My name is Lucas Ventura and I am a PhD student in the IMAGINE computer vision team at Ecole des Ponts ParisTech (ENPC), and in the WILLOW team of Inria Paris. My PhD is co-supervised by Gül Varol (ENPC) and Cordelia Schmid (Inria). I just finished my internship at Adobe Research, with Fabian Caba and Bryan Russell.
Before starting my PhD, I graduated with a degree in Telecommunications Technologies and Services Engineering from Universitat Politècnica de Catalunya (UPC) in Barcelona. As part of an exchange program, I spent one semester at Purdue University in the United States.
During my Telecommunications Engineering master's, I worked with the Image Processing Group at the Polytechnic University of Catalonia (UPC) under the supervision of Amanda Duarte and Xavier Giró. Additionally, I completed an internship at Telefónica Research, where I was supervised by Ferran Diego. For my final thesis, I collaborated with MIT and worked under the supervision of Antonio Torralba and Yunzhu Li.
My primary research interests include Deep Learning and Computer Vision, with a focus on Unsupervised Learning, Video Representation Learning, and multimodal learning. Outside of my academic pursuits, I am passionate about reading (mostly fantasy) and sports (swimming, kayaking, wakeboarding, football, handball, hiking, etc.).
If you'd like to get in touch, please don't hesitate to contact me.
PhD studies in Computer Vision at Imagine (LIGM, ENPC) and Willow (Inria). Supervised by Gül Varol (ENPC) and Cordelia Schmid (Inria).
Master Thesis under the supervision of Prof. Antonio Torralba and Yunzhu Li.
Coursed “Machine Learning”, “Computer Vision”, “Deep Learning for Artificial Intellegence” and “Introduction to Research” among others.
Coursed “Introduction To Data Science”, “Software Engineering Tools Lab” and Final thesis.
Speciality in Telecommunications Systems.
Working with Fabian Caba and Bryan Russell.
Research on video representation learning under the supervision of Gül Varol (ENPC) and Cordelia Schmid (Inria).
Research on multimodal embeddings under the supervision of Ferran Diego and Jordi Luque.
Research on Deep Learning applications to computer vision under the supervision of Xavier Giró and Amanda Duarte.
GNSS-SDR is an open source Global Navigation Satellite Systems software-defined receiver,
written in C++, that implements the full baseband processing chain from raw digital samples
up to the computation of GNSS observables (pseudorange and carrier phase measurements) and
position fixes.
Optimal Frame Synchronization Detection: The goal of this project was to implement and
validate an optimal detector, based on Massey’s frame synchronization metric.
Challenge Based Innovation (CBI) is a six-month project, where multidisciplinary student teams and their instructors collaborate with researchers at CERN to discover novel solutions for the future of humankind. The projects are an elaborate mixture, where societal, human-driven needs meet research at CERN.
Worked on robot kinematics (Universal Robot UR10) and electronics.
You can send me an email to lucas (at) lucasventura.com or DM me: Message @Lucas__Ventura