Computer Vision Journal Club at Temple

When: 11:05am-12:15pm, Tuesday (unless specified)
Where: 447 Wachman Hall
Contact: Haibin Ling, hbling AT ist.temple.edu



Presenter/Date

Title/Authors


Fall 2009

 

Vladan Radosavljevic

TBD

Markov Random Fields

Jingting Zeng
11/10/09

Attribute and Simile Classifiers for Face Verification, by N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar, ICCV’09

Dr. Gang Li
(Siemens Research)
(CIS Colloquium)
10/28/09

Geometric Context in 3D Computer Vision, publications

Nan Li

10/27/09

Markov Random Fields and Images, by P. Perez, CWI Quarterly 1998

Xingwei Yang

10/20/09

Discriminative Models for Multi-class Object Layout, by C. Desai, D. Ramanan, and C. Fowlkes, ICCV’09

Nan Li

10/13/09

Hierarchical Image Segmentation by Polygon Grouping, by Lakshman Prasad and Sriram Swaminarayan

Erkang Cheng
10/6/09

A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation, CVPR’09, by L. Zhang and Q. Ji

Dr. Lei Guo
9/22/09

MRI Image Segmentation Based on Dimensional Weight Immune Support Vector Machine

Yi Meng
9/15/09

Real-Time Tracking of Non-Rigid Objects using Mean Shift, CVPR’00, D. Comaniciu, V. Ramesh, P. Meer

Dr. Xiaolei Huang
(Lehigh)
(CIS Colloquium)
9/10/09

Object Models for Boundary Extraction with Application to Medical Image Analysis


Spring 2009

 

Dr. Siwei Lyu
(SUNY Albany)
4/22/09

Modeling statistics of photographic images
Related publications available at http://www.cs.albany.edu/~lsw/homepage/PUBLICATIONS.html

Dr. Alex Yates & Irene Huang
4/13/09

Conditional Random Field

·  Tutorial by Hanna Wallach

·  The paper by Lafferty, McCallum, and Pereira

Dr. Albert Montillo
(Univ. Penn.)
4/2/09

Random Forest

·  Random Forest, L. Breiman

·  Slides from Dr. Montillo

Xingwei Yang
3/30/09

Outlier Detection with Globally Optimal Exemplar-Based GMM. SDM'09
Xingwei Yang, Longin Jan Latecki, Dragoljub Pokrajac

Dr. Yuhong Guo
2/23/09

Learning Spatial Context: Using Stuff to Find Things. ECCV-08
Geremy Heitz and Daphne Koller

ChengEn Lu
2/16/09

Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection, IJCV'08
A. Opelt, A. Pinz, and A. Zisserman

Dr. Rolf Lakaemper
2/9/09

It's a disaster: rescue robot exercise in Texas


Fall 2008

 

Xingwei Yang
12/15/08

Multiple Component Learning for Object Detection, ECCV 2008.
Piotr Dollar, Boris Babenko, Serge Belongie, Pietro Perona, and Zhuowen Tu

Nagesh Adluru
12/8/08

Active Basis for Deformable Object Modeling, Learning and Detection.
Y.N. Wu, Z.Z. Si, H.F. Gong, and S.C. Zhu

Dr. Marc Sobel
11/24/08

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities
Adrian Barbu and Song-Chun Zhu

Jingting Zeng
11/10/08

A Context Dependent Distance Measure for Shape Clustering
Rolf Lakaemper and JingTing Zeng

Dr. Marc Sobel
11/03/08

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities
Adrian Barbu and Song-Chun Zhu
This is the second part continued from last week.

Dr. Le Lu
(Siemens Research)
10/29/08

Visual Representation Bridging Machine Learning to Computer Vision
Related publications available at http://www.cs.jhu.edu/~lelu

Dr. Marc Sobel
10/27/08

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities
Adrian Barbu and Song-Chun Zhu

Dr. Haibin Ling
10/20/08

Boosting in computer vision

·  Additive logistic regression: a statistical view of boosting, J. Friedman, T. Hastie, and R. Tibshirani, The Annals of Statistics 2000.

·  Robust Real-time Object Detection, P. Viola and M. Jones, IJCV 2002.

ChengEn Lu
10/13/08

V. Ferrari, F. Jurie, and C. Schmid. Accurate Object Detection with Deformable Shape Models Learnt from Images CVPR, 2007.

Thomas Young
10/06/08

Experimental Approaches in Biopsychology: Focus on Electrophysiology

Xin Li
09/29/08

Learning to Localize Objects with Structured Output Regression
M. B.Blaschko and C. H.Lampert, ECCV 2008.