Portrait of Lei Zhang

Lei Zhang

Senior Researcher

About

Lei Zhang is a senior researcher in Microsoft Research, working with the Cloud Computing and Storage group on visual recognition and exploring the solutions that can leverage the power of cloud computing.

Prior to this, he worked with Microsoft Research Asia for 12 years as a senior researcher, leading a research team working on visual recognition, image analysis, and large-scale data mining. His years of work on large-scale, search-based image annotation has generated many practical impacts in multimedia search, including a highly scalable solution of duplicate image clustering for billions of images. From 2013 to 2015, he moved to Bing Multimedia Search as a principal development manager, helping develop cutting-edge solutions for web-scale image analysis and recognition problems, including image caption generation and high precision image entity linking.

Lei is a senior IEEE member and a senior ACM member, and has served as editorial board members for Multimedia System Journal, as program co-chairs, area chairs, or committee members for many top conferences. He is the author or co-author of 100+ published papers in fields such as multimedia, computer vision, web search and information retrieval, and holds 40+ U.S. patents for his innovation in these fields.

Lei earned all his degrees (B.E., M.E., and Ph.D) in Computer Science from Tsinghua University, and currently also holds an adjunct professor position in Tianjin University.

Projects

MindFinder: Finding Images by Sketching

Established: August 12, 2009

Sketch-based image search is a well-known and difficult problem, in which little progress has been made in the past decade in developing a large-scale and practical sketch-based search engine. We have revisited this problem and…

MSR Image Recognition Challenge (IRC)

Established: March 24, 2014

Microsoft Research is happy to continue hosting this series of Image Recognition (Retrieval) Grand Challenges. Do you have what it takes to build the best image recognition system? Enter these MSR Image Recognition Challenges in ACM Multimedia and/or IEEE ICME…

MSRA-CFW: Data Set of Celebrity Faces on the Web

Dataset Descriptions The dataset includes image URLs for 202792 faces. The labels of the faces are automatically generated by the algorithm in [1], with high accuracy. To facilitate downloading the images, we provide a number of URLs for the near-duplicates…

Arista (lARge-scale Image Search To Annotation)

Established: January 1, 2006

Arista is a data-driven image annotation system, which annotates an image based on large-scale image search. Its assumption is that close similar images share similar semantics. It targets at a practical image annotation engine which is able to automatically annotate…

Publications

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