Research Scientist committed to innovating AI agents to empower creativity and increase productivity. Passionate about developing cutting-edge AI applications involving video understanding and creative storytelling. I have a wide range of research and engineering interests from on-device AI to General AI. Reach out!
Biography
Research Scientist based in Cambridge (UK). Victor works at the Samsung AI Center, focusing on enhancing AI applications in creative and productivity domains. I earned my BSc and MSc in Electrical Engineering from Universidad del Norte, studying under the supervision of Ph.D Juan Carlos Niebles. Victor completed his PhD at KAUST under the mentorship of Prof. Bernard Ghanem, with a research focus on computer vision. My early career was marked by pioneering developments in efficient video and action understanding models. Once I joined industry, I am committed to developing advanced AI applications that empower human creativity and scale General AI, particularly in edge computing environments.
Research Interests
My research spans a wide array of AI disciplines, with a special focus on computer vision, efficient video understanding, and the development of AI agents with a strong interest for edge deployment. I am particularly passionate about build AI Agents to enhance human creativity and productivity. My ongoing projects aim to seamlessly integrate AI capabilities into user-centric applications, pushing the boundaries of what AI can achieve in real-world scenarios.
About
Victor Escorcia was a Ph.D. student in Image and Video Understanding Lab (IVUL) Group under the supervision of Prof. Bernard Ghanem at KAUST.
Education and Early Career
Victor Escorcia got a Bachelor’s Degree in Electrical and Electronic Engineering from Universidad Del Norte in Colombia in 2012. He also earned his Master Degree in Electrical Engineering from Universidad Del Norte in Colombia in 2014. He received his Ph.D. in Electrical Engineering from KAUST in 2019.
During 2017, Victor did an internship under the topic of Actor-supervision, a weakly-supervised approach for action localization in videos, at Qualcomm in Amsterdam, Netherlands. Moreover, he was a research intern in Adobe in San Francisco, CA in 2018. He focused on Moments retrieval from a video corpus given natural language queries.
Honors and Awards
Victor Escorcia most recent award was the CVPR Outstanding Reviewer for the period of 2017-2018. In 2014, his Master thesis was graded as Cum Laude from Universidad Del Norte in Colombia. Before that, Escorcia was awarded the Joven Investigator Scholarship from Colciencias & Universidad Del Norte in Colombia in 2013. He also won the Silver Medal to the ranked 1st graduate of Excellence of Electronic Engineering from Universidad Del Norte in Colombia for the year 2012.
Professional Memberships
Academic Peer Reviewer in CVPR, ECCV, ICCV
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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LxCV co-founder, 2020 - 2024
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Program Chair: LxCV Workshop, ActivityNet Workshops, 2017 - 2022
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Reviewer for CVPR, ICCV, ECCV, IJCV, CVIU, 2024 - present
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Mentoring PhD students 2020-present., 2024 - present
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Awards and Distinctions
- Roble Amarillo Scholarship, Universidad del Norte, 2007
- Ph.D. scholarship, KAUST, 2015
Education
- Doctoral
- Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2019
- Master
- Electrical and Electronic Engineering, Universidad del Norte, Colombia, 2014
- Bachelor of Engineering (B.Eng.)
- Electrical and Electronic Engineering, Universidad del Norte, Colombia, 2012
Quote
I pass my days figuring out ways for computers, robots, or artificial agents to perceive and reason about the world as we humans do. And as Wernher von Braun said: "Research is what I'm doing when I don't know what I'm doing".
