DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
A. Blum and T. Mitchell, Combining Labeled and Unlabeled Data with Co-Training, COLT 1998.
Y. Abramson and Y. Freund, Active Learning for Visual Object Recognition.
Anat Levin, Paul Viola and Yoav Freund. Unsupervised Improvement of Visual Detectors using Co-Training, ICCV 2003.
C. Rother, V. Kolmogorov, A. Blake. GrabCut: Interactive Foreground Extraction using Iterated Graph Cuts. ACM Transactions on Graphics (SIGGRAPH'04), 2004
A. Blake, C. Rother, M. Brown, P. Perez, and P. Torr. Interactive image segmentation using an adaptive GMMRF model. Proc. Eur. Conf. on Computer Vision, ECCV (2004).
Kar-Han Tan and Narendra Ahuja. Selecting Objects with Freehand Sketches.
In Proceedings IEEE International Conference on Computer Vision. 2001.
Download Paper: [PDF 12.9MB]
Kar-Han Tan and Narendra Ahuja. A Representation for Image Structure
and its Application in Object Selection with Freehand Sketches. In Proceedings
IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
Download Paper: [PDF 4.3MB]
M. Blank, L. Gorelick, E. Shechtman, M. Irani and R. Basri, Actions as Space-Time Shapes. To appear in the International Conference on Computer Vision (ICCV), Beijing, 2005.
Louka Dlagnekov, Video-based Car Surveillance: License Plate, Make, and Model Recognition, U.C. San Diego (Masters Thesis) [pdf]
V. M. Govindu, A Tensor Decomposition for Geometric Grouping and Segmentation, Proc. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2005. [pdf]
Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pietro Perona, David Kriegman and Serge Belongie, Beyond Pairwise Clustering [pdf][slides] CVPR 2005, San Diego, CA
Zhou, D., J. Huang and B. Schölkopf: Beyond Pairwise Classification and Clustering Using Hypergraphs. [pdf]
R. Zass and A. Shashua. A Unifying Approach to Hard and Probabilistic Clustering. International Conference on Computer Vision (ICCV) Beijing, China, Oct., 2005 .
T. Hazan, S. Polak and A. Shashua. Sparse Image Coding using a 3D Non-negative Tensor Factorization. International Conference on Computer Vision (ICCV) Beijing, China, Oct., 2005 .
A. Shashua and T. Hazan. Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision. International Conference on Machine Learning (ICML), Aug. 2005.
Josef Sivic, Bryan Russell, Alexei A. Efros, Andrew Zisserman, Bill Freeman. Discovering Objects and their Location in Images. In ICCV 2005.
Here are some more suggestions for papers on Object Recognition and Surveillance from reading groups at Berkeley.
Most recently updated on Sept. 13, 2005 by Serge Belongie.