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About Me
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.
My Curriculum
Research
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol
CoVR: Learning Composed Video Retrieval from Web Video Captions
Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol
Learning text-to-video retrieval from image captioning
Lucas Ventura, Cordelia Schmid, Gül Varol
How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language
Amanda Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giró-i-NietoEducation
PhD
École des Ponts ParisTechPhD studies in Computer Vision at Imagine (LIGM, ENPC) and Willow (Inria). Supervised by Gül Varol (ENPC) and Cordelia Schmid (Inria).
External Researcher at MIT-CSAIL
Massachusetts Institute of Technology (MIT)Master Thesis under the supervision of Prof. Antonio Torralba and Yunzhu Li.
Master’s degree, Telecommunications Engineering
Polytechnic University of Catalonia (UPC)Coursed “Machine Learning”, “Computer Vision”, “Deep Learning for Artificial Intellegence” and “Introduction to Research” among others.
Exchange program at the School of Electrical and Computer Engineering
Purdue UniversityCoursed “Introduction To Data Science”, “Software Engineering Tools Lab” and Final thesis.
Bachelor’s degree in Telecommunications Technologies and Services Engineering
Polytechnic University of Catalonia (UPC)Speciality in Telecommunications Systems.
Experience
Research Scientist Intern
Adobe ResearchWorking with Fabian Caba and Bryan Russell.
Student researcher
École des Ponts ParisTechResearch on video representation learning under the supervision of Gül Varol (ENPC) and Cordelia Schmid (Inria).
Research Intern
Telefónica ResearchResearch on multimodal embeddings under the supervision of Ferran Diego and Jordi Luque.
Graduate Research Fellow
Polytechnic University of Catalonia (UPC)Research on Deep Learning applications to computer vision under the supervision of Xavier Giró and Amanda Duarte.
Google Summer of Code student with GNSS-SDR
Google Summer of CodeGNSS-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
IdeaSquare, CERNChallenge 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.
Summer Intern
Beta RobotsWorked on robot kinematics (Universal Robot UR10) and electronics.
Contact me
You can send me an email to lucas (at) lucasventura.com or DM me: Message @Lucas__Ventura