Lorenzo Mur-Labadia
Lorenzo Mur-Labadia
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PhD candidate at University of Zaragoza, Computer Vision and Deep Learning
PhD candidate at University of Zaragoza, Computer Vision and Deep Learning
About me
About me
Hello!! I'm Lorenzo and I'm a last-year PhD student at the University of Zaragoza (Spain), supervised by Prof. Ruben Martinez-Cantin and Prof. Josechu Guerrero.
I am interested in egocentric vision, especially in video-language learning and 4D scene representations. Now, I am doing a research internship at FAIR in META Paris, working with the JEPA team supervised by A.Bardes.
Latest news 🗞️
Latest news 🗞️
[11/09/2025] O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views will be introduced at ICCV 2025 in Hawai 🏖️
[10/06/2025] O-MaMa won the EgoVIS Object Correspondences challenge at CVPR 2025!!!
[11/03/2025] "DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos" was accepted at CVPR 2025 🎉🎉🎉 as Highlight
[04/07/2024] I participated at the ICVSS 24' in Sicily
[01/07/2024] Our work "AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation", done at University of Catania with A.Furnari and G.M.Farinella has been accepted at ECCV 24!
[17/06/2024] I will be at CVPR in Seattle, introducing two winner solutions for the Ego4D Challenge.
[10/06/2024] Our work, Bayesian temporal-order priors for test time refinement won the 1st prize prize at the EgoVIS Step Grounding Challenge 🥇 joined in colaboration with C.Plou.
[10/06/2024] Our work, AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation won the 2nd prize at the EgoVIS Short Term Anticipation Challenge 🥈
[24/05/2024] It was very exciting to give a talk in my old high-school about AI.
[02/05/2024] I am part of the Technical Committee at the 11th International Workshop on Assistive Computer Vision and Robotics at ECCV 2024 in Milan.
[15/11/2023] I was invited to participate at the 3rd NAVER International Workshop of AI for Robotics https://europe.naverlabs.com/updates/3rd-naver-labs-europe-international-workshop-on-ai-for-robotics-2023/
[6/09/2023] I will be in the ICCV 23' in Paris, introducing our latest work "Multi-label affordance mapping from egocentric vision" 🎉
[25/08/2023] We release EPIC-Aff, the largest and most complete dataset for visual affordance perception. Download here 🤖
Latest works 📜
Latest works 📜
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
Lorenzo Mur-Labadia*, Maria Santos-Villafranca*, Jesus Bermudez-Cameo, Alejandro Perez-Yus, Ruben Martinez-Cantin, Jose J. Guerrero.
Accepted in ICCV 25' https://github.com/Maria-SanVil/O-MaMa
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
Lorenzo Mur-Labadia*, Josechu Guerrero, Ruben Martinez-Cantin
Accepted in CVPR 25'
Preprint on Arvix
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
Lorenzo Mur-Labadia*, Josechu Guerrero, Ruben Martinez-Cantin, Giovanni Maria Farinella and Antonino Furnari
Accepted in ECCV 24'
2nd place at the Ego4D Short Term Anticipation Challenge at CVPR 24' 🥈
Bayesian temporal-order priors for test time refinement
Bayesian temporal-order priors for test time refinement
Carlos Plou, Lorenzo Mur-Labadia*, Ruben Martinez-Cantin and Ana C.Murill
1nd place at the Ego4D Step Grounding Challenge at CVPR 24' 🥇
Paper on Arvix
Multi-label affordance mapping from egocentric vision (ICCV 2023) ✨
Multi-label affordance mapping from egocentric vision (ICCV 2023) ✨
Lorenzo Mur-Labadia*, Josechu Guerrero and Ruben Martinez-Cantin
Resume
Resume
Research Internship at the University of Catania 🇮🇹, supervised by G. Farinella and A. Furnari, working on next-active object anticipation.
PhD Computer Vision and Bayesian Deep Learning, supervised by J. Guerrero and Ruben Martinez-Cantin, University of Zaragoza (2022-Current)
Research Internship at University of Freiburg 🇩🇪(2021-2022), supervised by Abhinav Valada working on Panoptic Scene Completion for my Master Thesis.
MSc Computer Vision, Robotics and Graphics University of Zaragoza (2020-2022), Grade: 8.52 out 10.
BSc Industrial Technologies Engineering. University of Zaragoza (2016-2020) Grade 8.43 out 10. Awarded with the academic excellence award.
Spanish Baccaleurate 9.82/10 points and International Baccaleurate (IB) 42/45 points cursed at the same time (2014-2016)
Teaching 🧑🏫
Teaching 🧑🏫
2024/2025 Machine Learning, MSc Robotics, Graphics and Computer Vision
2023/2024 Automatics systems. BSc Mechanical Engineering
2023/2024 I supervised the Master Thesis of Alejandro de Nova about Feature Fields in Egocentric Video
2022/2023 Industrial Robotics and Automatics. BSc Industrial Technologies Engineering
2022/2023 I supervised the Master Thesis of Miguel Marcos about Music generation with Bayesian optimization
2022/2023 Computer Vision and Robotics. MSc Industrial Technologies Engineering
2022/2023 Master Thesis co-supervision with Ruben Martinez Cantin. MSc Robotics, Graphics and Computer Vision
Other interests 🎭🏕️
Other interests 🎭🏕️
I've been participating as volunteer in a youth association for 8 years. We prepare weakly activities, summer camps and I have supervised the performance of several musicals: High School Musical, Mamma Mia! and Grease. My other interests are hiking at the Pyrenees and I play both viola and guitar. 🎻 🎸
Contact me! lmur@unizar.es
Contact me! lmur@unizar.es
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