L.: Spatially coherent latent topic model for concurrent object segmentation and classification (2007)

by Liangliang Cao , Li Fei-fei
Venue:In: Proceedings of IEEE International Conference on Computer Vision
Citations:42 - 3 self

Active Bibliography

Labeling, Discovering, . . . – Bryan Christopher Russell - 2001
25 OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning – L.-J. Li, L. Fei-fei - 2008
232 LabelMe: A Database and Web-Based Tool for Image Annotation – B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman - 2008
Latent Dirichlet Markov Random Fields for Semi-supervised Image Segmentation and Object Recognition – Lester Mackey - 2007
3 Geometric lda: A generative model for particular object discovery – James Philbin, Josef Sivic, Andrew Zisserman - 2008
1 Image Segmentation with Topic Random Field – Bin Zhao, Li Fei-fei, Eric P. Xing
10 StreetScenes: Towards Scene Understanding in Still Images – Stanley Michael Bileschi - 2006
1 Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER – Devi Parikh, Tsuhan Chen
119 Using Multiple Segmentations to Discover Objects and their Extent in Image Collections – Bryan C. Russell, Alexei A. Efros, Josef Sivic, William T. Freeman, Andrew Zisserman
Learning Models for Multi-Viewpoint Object Detection – Akash M. Kushal - 2008
DETECTION BY – Akash M. Kushal, Ph. D, Akash M. Kushal
Continuous-state Graphical Models for . . . – Leonid Sigal - 2008
33 Simultaneous Image Classification and Annotation – Chong Wang, David Blei, Li Fei-fei
Research Article Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions – Devi Parikh, Tsuhan Chen - 2008
Fall Term – Jingen Liu
154 Learning object categories from google’s image search – R. Fergus, L. Fei-fei, P. Perona, A. Zisserman - 2005
1 LOCAL, SEMI-LOCAL AND GLOBAL MODELS FOR TEXTURE, OBJECT AND SCENE RECOGNITION – Svetlana Lazebnik - 2000
12 Single-histogram class models for image segmentation – F. Schroff, A. Criminisi, A. Zisserman - 2006
44 TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context – Jamie Shotton, John Winn, Carsten Rother, Antonio Criminisi - 2007