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Victor Escorcia

PhD Student

KAUST

Welcome!

I am Research Scientist in Samsung AI Center Cambridge PhD IVUL group KAUST. This website is purposely outdated 😜. For details about my recent research work, visit Google Scholar. About others endeavors, LinkedIn & Twitter. Thanks for passing by! I pass my days figuring out ways for computers, robots, or artificial agents to perceive and reason about the world as we humans do. My research interest lies in the intersection of computer vision and machine learning. In particular, I’m intrigued about scalable and efficient video understanding. Check out my publications to get a glimpse of my work.

Interests

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence

Education

  • PhD in Electrical Engieering

    KAUST

  • MSc in Eletronic Engineering, 2014

    Universidad del Norte

  • BSc in Electrical and Electronic Engineering, 2012

    Universidad del Norte

Experience

 
 
 
 
 
May 2018 – August 2018
San Francisco, CA

Research Intern

Adobe

Moments retrieval from a video corpus given natural language queries.
 
 
 
 
 
May 2017 – September 2017
Amsterdam, Netherlands

Research Intern

Qualcomm

Actor-supervision, a weakly-supervised approach for action localization in videos.

Publications

Diagnosing Error in Temporal Action Detectors

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos

SCC: Semantic Context Cascade for Efficient Action Detection

SST: Single-Stream Temporal Action Proposals

DAPs: Deep Action Proposals for Video Understanding

ActivityNet: A Large-Scale Video Benchmark for Human Activity Understanding

Automated Vision-based Recognition of Construction Worker Actions Using RGBD Cameras

Contact

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