Jiebo Luo (Chinese: 罗杰波; born 1967) is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and professor of computer science at the University of Rochester.
Luo joined the Computer Science Department at University of Rochester in fall 2011 after over fifteen prolific years at Kodak Research Laboratories, where he last held the position of senior principal scientist.
He was a guest editor for many special issues, including "Image Understanding for Digital Photos" (PR 2005), "Real-World Image Annotation and Retrieval" (TPAMI 2008), "Event Analysis in Video" (TCSVT 2008), "Integration of Content and Context for Multimedia Management" (TMM 2009), "Probabilistic Graphic Models in Computer Vision" (TPAMI 2009), "Knowledge Discovery over Community-Contributed Multimedia Data" (IEEE MultiMedia 2010), "Social Media" (ACM TOMM 2011), "Social Media as Sensors" (TMM 2013), "Deep Learning in Multimedia Computing" (TMM 2015), "Video Analytics with Deep Learning" (PR 2020), "Learning with Fewer Labels in Computer Vision" (TPAMI, 2023), and so on.
Luo's broad research spans image processing, computer vision, natural language processing, machine learning, data mining, social media, computational social science, and digital health.
[9] Some of his notable works are listed below and details can be seen on his website at University of Rochester.