Computer Vision Misc Reading Group
Wednesdays, 3:00 - 4:30, EDSH 200

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2012 Schedule

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Date Presenter Description
1/25/2012 Pyry Learning to Predict the Perceived Visual Quality of Photos
Ou Wu, NLPR (Institute of Automation), Weiming Hu (Institute of Automation), Jun Gao
ICCV 2011

Content-Based Photo Quality Assessment
Wei Luo, Xiaogang Wang, Xiaoou Tang
ICCV 2011

Assessing the aesthetic quality of photographs using generic image descriptors
Luca Marchesotti (XRCE), Florent Perronnin (XRCE), Diane Larlus (XRCE), Gabriela Csurka (XRCE)
ICCV 2011
2/1/2012 Abhinav G. Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara Berg
NIPS 2011

Learning person-object interactions for action recognition in still images
Vincent Delaitre, Josef Sivic, Ivan Laptev
NIPS 2011
2/8/2012 Ed Evaluation of Image Features Using a Photorealistic Virtual World
B. Kaneva, A. Torralba and W. T. Freeman
ICCV 2011

Local Intensity Order Pattern for Feature Description
Z. Wang, B. Fan and F. Wu
ICCV 2011

CENTRIST : A Visual Descriptor for Scene Categorization
J. Wu and J. M. Rehg
TPAMI 2011
3/14/2012 Varun Articulated Part-based Model for Joint Object Detection and Pose Estimation
Min Sun, Silvio Savarese
ICCV 2011

N-best maximal decoders for part models
Dennis Park, Deva Ramanan
ICCV 2011

Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
Steven Branson Pietro Perona, Serge Belongie
ICCV 2011
3/21/2012 Ali TBA
3/28/2012 Feng Y. HaCohen, E. Shechtman, D. B. Goldman, and D. Lischinski,
Non-Rigid Dense Correspondence with Applications for Image Enhancement,
SIGGRAPH 2011

H. Jiang, S. X. Yu, and D. R. Martin,
Linear Scale and Rotation Invariant Matching,
PAMI 2011
4/4/2012 Dong Localizing Parts of Faces Using a Consensus of Exemplars
Peter N. Belhumeur, David W. Jacobs, David J. Kriegman, Neeraj Kumar
CVPR 2011

Latent Structured Models for Human Pose Estimation
Catalin Ionescu, Fuxin Li, Cristian Sminchisescu
ICCV 2011
4/11/2012 Munoz A Pylon Model for Semantic Segmentation
V. Lempitsky, A. Vedaldi, A. Zisserman
NIPS 2011

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
C. Farabet, C. Couprie, L. Najman, Y. LeCun
arXiv:1202.2160v1

Decision Tree Fields
S. Nowozin, C. Rother, S. Bagon, T. Sharp, B. Yao, and P. Kohli
ICCV 2011
4/18/2012 Scott Accidental pinhole and pinspeck cameras: revealing the scene outside the picture
Antonio Torralba, Bill Freeman
CVPR 2012

Recognizing Scene Viewpoint using Panoramic Place Representation
Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba
CVPR 2012

Unsupervised co-segmentation through region matching
Jose C. Rubio, Joan Serrat, Antonio Lopez, Nikos Paragios
CVPR 2012
4/25/2012 -- Special VASC Seminar: Jon Barron
5/2/2012 Mark D. Image Saliency: From Intrinsic to Extrinsic Context
Wang, M., J. Konrad, P. Ishwar, K. Jing, and H. Rowley
CVPR 2011

Learning a Category Independent Object Detection Cascade
Rahtu, E., J. Kannala, and M. Blaschko
ICCV 2011

What Is an Object?
Alexe, B., T. Deselaers, and V. Ferrari
CVPR 2010
5/9/2012 Xuehan Integrating Multiple-Study Multiple-Subject fMRI Datasets Using Canonical Correlation Analysis
I. Rustandi, M.A. Just, T.M. Mitchell.
MICCAI 2009 Workshop: Statistical modeling and detection issues in intra- and inter-subject functional MRI data analysis 2009

Multi-label Output Codes using Canonical Correlation Analysis
Yi Zhang and Jeff Schneider
AISTATS 2011
5/16/2012 Maturana Teaching 3D Geometry to Deformable Part Models
B. Pepik, M. Stark, P. Gehler, B. Schiele
CVPR 2012

Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
W. Hu
CVPR 2012

From Contours to 3D Object Detection and Pose Estimation
N. Payet and S. Todorovic
ICCV 2011
5/23/2012 Stambler Detection-based Object Labeling in 3D Scenes
Lai, Kevin, Liefeng Bo, and Xiaofeng Ren
ICRA 2012

SURFing the Point Clouds: Selective 3D Spatial Pyramids for Category-level Object Recognition
C. Redondo-Cabrera, R. J. Lopez-Sastre, J. Acevedo-Rodriguez and S. Maldonado-Bason
CVPR 2012
5/23/2012 Gunhee On Multiple Foreground Cosegmentation
G. Kim, E. Xing
CVPR 2012

Web Image Prediction Using Multivariate Point Processes
G. Kim, F-F Li, E. Xing
KDD 2012
6/13/2012 -- Special Seminar: Joao Fayad

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FAQ

1. How is the presenters' order generated?
The presenters' order is generated from the presenters' list in a FIFO manner.

2. Who is responsible if I can not present at the scheduled time?
Youself.

3. What should I do if I can not present at the scheduled time?
First, let the organizer know your situation, as early as possible. Second, contact other presenters on the list and see if they are willing to swap with you.

4. What happens if a new event takes place and we have to change the schedule?
To minimize disturbance, the conflited slot will be moved to the rear of the list after confirmed with the originally scheduled presenter, while all the other schedules remain unchanged.

5. I have a question not listed here...
Ask.

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