Wenze Hu ()


Ph.D. Candidate
Department of Statistics
University of California, Los Angeles


Follows are my research projects:

3D Object Templates by Space Quantization

Original images.
Original images.
Original images.
Original images.
Gabor filter responses.
Gabor filter responses.
Sample of learned tempaltes.
Sample of learned tempaltes.
Sample of learned tempaltes.
Projected sketches in each views.
Projected sketches in each views.
Projected sketches in each views.
Projected sketches in each views.
Projected sketches in each views.
Projected sketches in each views.

A 3D object template learning method by partitioning the its appearnace and geometry space. [more]

Published in CVPR 2012.

Image Representation by Active Curves

File 0011.png, original image.
Corner saliency map.
Illustration of detected corners.Angles spanned by the corner are from red arm to green arm. For clarity, the arms only cover small portions of the curve templates of the corners.
Detected corner prototypes. Angles spanned by the corner are from red arm to green arm. For clarity, the arms only cover small portions of the curve templates of the corners.
Corner and curve prototypes. Angles spanned by the corner are from red arm to green arm. For clarity, the arms only cover small portions of the curve templates of the corners .
Deformed sketches from corners and arcs. Red dots denote corner centers .

A biologically inspired algorithm is implemented in this project, to capture the corners and long curves in natural images. [more]

Published in ICCV 2011.

Object Representation for View Invariant Recognition

Given object images from different views, what is the correct representation that computer can learn/memorize images in a coding efficient manner? [more]

Published in CVPR 2010.

▾ Past Projects