Li Zhang

Ph.D. University of Washington

Assistant Professor
Computer Sciences Department
University of Wisconsin-Madison

Background Contact Publication

Recruiting: I will not recruit new graduate students for the next academic year. I do not recruit students for summer internship.

Research Interests: Computer Vision and Computer Graphics

Awards: NSF CAREER Award (2009-2014), Sloan Research Fellowship (2010-2011), Packard Fellowship for Science and Engineering (2010-2015)

Research Projects:

Semantic Image Analysis and Search Computational Phtography and Camera 3D Reconstruction

Pose and Expression Robust Face Landmark Localization

From Label Maps to Label Strokes:
Image Parsing from Sparsely labeled Training Data

Example-Based Face Parsing

Local Label Descriptor for Example based Semantic Image Labeling

Joint Face Alignment with Non-Parametric Shape Models

A Multi-Affine Model for Tensor Decomposition
Face Image Search by Shape Manipulation
Before 2007

What is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images

Random Coded Sampling for High-Speed HDR Video

Optical Flow in the Presence of Spatially-Varying Motion Blur

Video Denoising for Motion-based Exposure Control

Stereoscopic 3D Video Stabilization
Lightfield Video Stabilization

Denoising versus Deblurring: Optimal HDR Imaging Techniques using Moving Cameras

Multiple View Image Denoising
Before 2007

Capturing Photos and Videos with Tagged Pixels

Scene Collage and Flexible Camera Array

A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching

Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion

Stereo Matching with Nonparametric Smoothness Priors in Feature Space

(De)Focusing on Global Light Transport for Active Scene Recovery
Before 2007

Projection Defocus Analysis for Scene Capture and Image Display

Parameter Estimation for MRF Stereo

Spacetime Faces

Shape and Motion under Varying Illumination

Spacetime Stereo

Rapid Shape Acquisition

Single View Modeling

Shape Recovery by Surface Deformation

Current Students

Former Students

Courses:

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