When:
Where: 447 Wachman Hall
Contact: Haibin Ling, hbling
AT ist.temple.edu
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Presenter/Date |
Title/Authors |
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Vladan Radosavljevic TBD |
Markov Random Fields |
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Jingting Zeng |
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 |
Geometric Context in 3D Computer Vision, publications |
|
Nan Li |
Markov Random Fields and Images, by P. Perez, CWI Quarterly 1998 |
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Discriminative Models for Multi-class Object Layout, by C. Desai, D. Ramanan, and C. Fowlkes, ICCV’09 |
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Nan Li |
Hierarchical Image Segmentation by Polygon Grouping, by Lakshman Prasad and Sriram Swaminarayan |
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Erkang Cheng |
A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation, CVPR’09, by L. Zhang and Q. Ji |
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Dr. Lei Guo |
MRI Image Segmentation Based on Dimensional Weight Immune Support Vector Machine |
|
Yi Meng |
Real-Time Tracking of Non-Rigid Objects using Mean Shift, CVPR’00, D. Comaniciu, V. Ramesh, P. Meer |
|
Dr. Xiaolei
Huang |
Object Models for Boundary Extraction with Application to Medical Image Analysis |
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Dr. Siwei Lyu
|
Modeling statistics of photographic images |
|
Dr. Alex Yates & Irene Huang |
Conditional Random Field |
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Dr. Albert
Montillo |
Random Forest · Random Forest, L. Breiman |
|
Xingwei
Yang |
Outlier
Detection with Globally Optimal Exemplar-Based GMM. SDM'09 |
|
Dr. Yuhong
Guo |
Learning
Spatial Context: Using Stuff to Find Things. ECCV-08 |
|
ChengEn Lu |
Learning
an Alphabet of Shape and Appearance for Multi-Class Object Detection,
IJCV' |
|
Dr. Rolf
Lakaemper |
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Xingwei
Yang |
Multiple
Component Learning for Object Detection, ECCV 2008. |
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Nagesh Adluru |
Active Basis
for Deformable Object Modeling, Learning and Detection. |
|
Dr. Marc Sobel |
Generalizing
Swendsen-Wang to Sampling Arbitrary Posterior Probabilities |
|
Jingting Zeng |
A Context
Dependent Distance Measure for Shape Clustering |
|
Dr. Marc Sobel |
Generalizing
Swendsen-Wang to Sampling Arbitrary Posterior Probabilities |
|
Dr. Le Lu |
Visual Representation Bridging Machine Learning to
Computer Vision |
|
Dr. Marc Sobel |
Generalizing
Swendsen-Wang to Sampling Arbitrary Posterior Probabilities |
|
Dr. Haibin
Ling |
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. |
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ChengEn Lu |
V. Ferrari, F. Jurie, and C. Schmid. Accurate Object Detection with Deformable Shape Models Learnt from Images CVPR, 2007. |
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Thomas Young |
Experimental Approaches in Biopsychology: Focus on Electrophysiology |
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Xin Li |
Learning
to Localize Objects with Structured Output Regression |