Portrait of Lei Zhang

Lei Zhang

Senior Researcher

About

Lei Zhang is a senior researcher in Microsoft Research, leading a team working on visual recognition and computer vision.

Prior to this, he has 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

MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World

Established: June 29, 2016

MSR Image Recognition Challenge (IRC) @ACM Multimedia 2016 Latest Updates: Participants information disclosed in "Team Information" section below 6/21/2016: Evaluation Result Announced in "Evaluation Result " section below. 6/17/2016: Evaluation finished. 14 teams finished the grand challenge! 6/13/2016: Evaluation started. 6/13/2016: Dry…

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…

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…

Website Structure Understanding and its Applications

Established: August 12, 2010

Website structure understanding can be treated as a reverse engineering for the purpose of automatically discovering the layout templates and URL patterns of a website, and understanding how these templates and patterns are integrated to organize the website. The study…

Publications

2016

2015

2014

Mining Text Snippets for Images on the Web
Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, Lei Zhang, in KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press, August 24, 2014, View abstract, Download PDF

2013

2012

2011

2010

Interest Seam Image
Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum, Harry Shum, in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, June 1, 2010, View abstract

2009

2008

2007

2006

2005

2004

2000

1999