| 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 |
| 5/30/2012 | Fouhey |
Recovering Free Space of Indoor Scenes from a Single Image V. Hedau, D. Hoiem, D. Forsyth CVPR 2012 Bayesian Geometric Modeling of Indoor Scenes L. Del Pero, J. Bowdish, D. Fried, B. Kermgard, E. Hartley, K. Barnard CVPR 2012 Efficient Structured Prediction for 3D Indoor Scene Understanding A. Schwing, H. Tamir, M. Pollefeys, R. Urtasun CVPR 2012 |
| 6/6/2012 | 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 | -- |
Guest speaker: Joao Fayad 3D Deformable models for Non-Rigid Structure from Motion |
| 7/11/2012 | Kitani | First-person vision |
| 7/18/2012 | Alvaro |
E. Zeng et al., Clustering Genes using Heterogeneous Data Sources International Journal of Knowledge Discovery in Bioinformatics 2010 A. Strehl and J. Ghosh, Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002 Z. Lu and I. S. Dhillon, Clustering with Multiple Graphs, ICDM 2009 |
| 7/25/2012 | Yuandong |
Learning from Crowds in the Presence of Schools of Thought Yuandong Tian, Jun Zhu KDD 2012 |
| 8/1/2012 | Tomas |
A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization Yuchao Dai, Hongdong Li, Mingyi He CVPR 2012 General Trajectory Prior for Non-Rigid Reconstruction Jack Valmadre, Simon Lucey CVPR 2012 |
| 8/8/2012 | Henry |
Figure-ground segmentation by transferring window masks Daniel Kuettel, Matthieu Guillaumin, and Vittorio Ferrari CVPR 2012 |
| 8/15/2012 | Leonid |
No Bias Left Behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation Makoto Yamada, Leonid Sigal, Michalis Raptis ECCV 2012 |
| 8/22/2012 | Ashiqur KhudaBukhsh |
Leveraging User Comments for Aesthetic Aware Image Search Reranking Jose San Pedro, Tom Yeh, and Nuria Oliver WWW 2012 |
| 8/29/2012 | Carl | SIGGRAPH overview |
| 9/5/2012 | Zhou Yu |
Collective Generation of Natural Image Descriptions P. Kuznetsova, V. Ordonez, A. Berg, T. Berg, Y Choi ACL 2012 |
| 9/12/2012 | -- | VASC Seminar |
| 9/19/2012 | Jun-Yan |
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric Chang and Zhuowen Tu CVPR 2012 Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering Yan Xu, Jun-Yan Zhu, Eric Chang and Zhuowen Tu CVPR 2012 Contexts-Constrained Multiple Instance Learning for Histopathology Image Segmentation Yan Xu, Jianwen Zhang, Eric Chang, Maode Lai, and Zhuowen Tu MICCAI 2012 |
| 9/26/2012 | Natasha |
Reconstructing the World's Museums J. Xiao and Y. Furukawa ECCV 2012 Interactive Images: Cuboid Proxies for Smart Image Manipulation Y. Zheng et al. SIGGRAPH 2012 |
| 10/3/2012 | Olivier |
Discriminative Decorrelation for Clustering and
Classification" European Conference on Computer Vision B. Hariharan, J. Malik, D. Ramanan ECCV 2012 |
| 10/24/2012 | Ricardo |
Shape Sharing for Object Segmentation Jaechul Kim and Kristen Grauman ECCV 2012 |
| 12/5/2012 | Abhinav S. |
NIPS 2012: Analyzing 3D Objects in Cluttered Images 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model Shifting Weights: Adapting Object Detectors from Image to Video Localizing 3D cuboids in single-view images Learning about Canonical Views from Internet Image Collections Searching for objects driven by context A Generative Model for Parts-based Object Segmentation |
| (Back to Top) | ||
| 12/12/2012 | Yair |
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators Jammalamadaka, N., Zisserman, A., Eichner, M., Ferrari, V., & Jawahar, C. V. ECCV 2012 Object Detection Using Strongly-Supervised Deformable Part Models Azizpour, H., & Laptev, I. ECCV 2012 Learning About Canonical Views from Internet Image Collections Elad Mezuman and Yair Weiss NIPS 2012 Dog Breed Classification Using Part Localization Liu, Jiongxin, Angjoo Kanazawa, David Jacobs, and Peter Belhumeur ECCV 2012 |
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.
This file is located at: /afs/cs/project/vmr/www/misc_read/