When: 11am, Thursday (unless specified)
Where: 1015D Wachman Hall
Contact: Haibin
Ling, hbling AT ist.temple.edu
|
Presenter/Date |
Title/Authors |
|
(City (CIS Colloquium) |
Computer Vision Technology for Applications to Assist
Blind People |
|
(Stevens Inst.) (CIS Colloquium) |
Multiple Instance Learning for Human Centered Visual
Computing |
|
Dr. Alan Stocker (Univ. of Penn.) (CIS Colloquium) 11/16/11, 447 |
Believing is seeing - how prior beliefs influence
perception |
|
Dr. Larry S. Davis (Univ. of Maryland) (CIS Colloquium) 11/2/11, Tech 111 |
Contextual analysis of images and videos. |
|
Pengpeng Liang TBD |
TBD |
|
Yu Pang 10/20/11, 10:30am |
RASL:
Robust Batch Alignment of Images by Sparse and Low-Rank Decomposition, Yigang Peng, Arvind Ganesh, John Wright, Wenli Xu, and Yi Ma. 2010. |
|
Le Shu 10/6/11, 10:30am |
Deng Cai, Chiyuan Zhang, and Xiaofei He. Unsupervised feature selection for multi-cluster data. KDD 2010. |
|
Dr. Yefeng Zheng (Siemens Research) (CIS Colloquium) 9/22/11 |
Marginal Space Learning for Efficient Detection and Segmentation of 2D/3D Anatomical Structures in Medical Images |
|
Jin Sun 5/4/11 |
Gollisch, T., and Meister, M. (2010). Eye smarter than scientists believed: neural computations in circuits of the retina. Neuron 65, 150-164. |
|
Weiyu Zhang 4/27/11 |
Discriminative Image Warping with Attribute Flow, W. Zhang, P. Srinivasan, and J. Shi, CVPR 2011 |
|
Tianyang Ma 4/25/11 |
From Partial Shape Matching through Local Deformation to Robust Global Shape Similarity for Object Detection, T. Ma and L. J. Latecki, CVPR 2011 |
|
Wenjing Qi 4/20/11 |
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier, Steve Gu, Ying Zheng, and Carlo Tomasi, ACCV 2010. |
|
Dr. Marc Sobel |
Infinite hidden Markov and dirichlet process statistical models. |
|
(Univ. Delaware) (CIS Colloquium) 3/16/11 |
Analysis of Motion Blur with a Flutter Shutter Camera for Non-Linear Motion. |
|
Simone Schäfer (Univ. of Siegen) 2/4/11 |
3D Path Similarity Skeleton Graph Matching. |
|
Dr. Ying Zhu (Siemens Research) (CIS Colloquium) 12/14/10 |
Nonparametric Data-Driven Techniques for Visual Detection and Tracking. |
|
Hairong Liu (National U. Singapore) (CIS Colloquium) 12/13/2010 |
Robust
Graph Mode Seeking by Graph Shift, H. Liu and |
|
10/22/10 |
Shape Based Object Detection and Recognition in Silhouettes and Real Images |
|
Dr. Xiaoming Liu (GE Research) (CIS Colloquium) 10/19/10 |
Supervised and Semi-Supervised Image Alignment. |
|
|
Learning as Reasoning, related research available from http://www.cis.temple.edu/~pwang/
|
|
(U. Delaware) 10/01/10 |
Building a Hybrid Camera Array for Low Light Imaging,
related papers can be found at http://www.cis.udel.edu/~feli/
|
|
Yi Meng 9/24/10 |
Recovering the Spatial Layout of Cluttered Rooms, V. Hedau, D. Hoiem, and D.A. Forsyth, ICCV 2009 |
|
Liang Du 9/17/10 |
Detecting Text in Natural Scenes with Stroke Width Transform (PDF), by Boris Epshtein, Eyal Ofek, Yonatan Wexler, CVPR’10 |
|
Tianyang Ma 4/30/10 |
Boundary Learning by Optimization with Topological Constraints, V. Jain et al., CVPR 2010 |
|
Jin Sun |
S. Kumar and M. Hebert. Discriminative Fields for Modeling Spatial Dependencies in Natural Images, NIPS 2004 |
|
|
Alexander Toshev, Ben Taskar, and Kostas Daniilidis: Object Detection via Boundary Structure Segmentation, IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, 2010 |
|
Dr. Albert Montillo |
Generative, descriptive and active models for computer
vision |
|
Erkang Cheng |
Probabilistic
Boosting-Tree: Learning Discriminative Models for Classification,
Recognition, and Clustering, ICCV’05, Zhuowen
Tu |
|
Dr. Ko Nishino (Drexel) (CIS Colloquium) |
Exploiting the Latent Structures of 3D Geometry and Appearance |
|
Chengliang Wang |
Shape context and chamfer matching in cluttered scenes, by A. Thayananthan, B. Stenger, P. H. S. Torr, R. Cipolla, CVPR 2003 |
|
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 |
|
|
Discriminative Models for Multi-class Object Layout, by C. Desai, D. Ramanan, and C. Fowlkes, ICCV’09 |
|
Nan Li |
Hierarchical Image Segmentation by Polygon Grouping, by Lakshman Prasad and Sriram Swaminarayan |
|
Erkang Cheng |
A Multiscale Hybrid Model Exploiting Heterogeneous Contextual Relationships for Image Segmentation, CVPR’09, by L. Zhang and Q. Ji |
|
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 |
|
Dr. Siwei Lyu |
Modeling statistics of photographic images |
|
Dr. Alex Yates & Irene Huang |
Conditional Random Field |
|
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 |
|
|
Xingwei Yang |
Multiple
Component Learning for Object Detection, ECCV 2008.
|
|
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 (CIS Colloquium) |
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. |
|
ChengEn Lu |
V. Ferrari, F. Jurie, and C. Schmid. Accurate Object Detection with Deformable Shape Models Learnt from Images CVPR, 2007. |
|
Thomas Young |
Experimental Approaches in Biopsychology: Focus on Electrophysiology |
|
Xin Li |
Learning
to Localize Objects with Structured Output Regression |