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ORCID11. ACCV 2012: Daejeon, Korea
- Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, Zhanyi Hu:
Computer Vision - ACCV 2012 - 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7724, Springer 2013, ISBN 978-3-642-37330-5
Oral Session 1: Object Detection and Learning
- Tatiana Tommasi
, Novi Quadrianto, Barbara Caputo, Christoph H. Lampert:
Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer. 1-15 - Feng-Ju Chang, Yen-Yu Lin, Ming-Fang Weng:
Cross-Database Transfer Learning via Learnable and Discriminant Error-Correcting Output Codes. 16-30 - Wei Li, Rui Zhao, Xiaogang Wang:
Human Reidentification with Transferred Metric Learning. 31-44
Poster Session 1: Object Detection, Learning and Matching
- Pietro Lovato, Alessandro Perina, Nicu Sebe, Omar Zandonà, Alessio Montagnini, Manuele Bicego, Marco Cristani:
Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data. 45-56 - Marko Ristin, Juergen Gall, Luc Van Gool:
Local Context Priors for Object Proposal Generation. 57-70 - Chunluan Zhou, Junsong Yuan:
Arbitrary-Shape Object Localization Using Adaptive Image Grids. 71-84 - Yuko Ozasa, Yasuo Ariki, Mikio Nakano, Naoto Iwahashi:
Disambiguation in Unknown Object Detection by Integrating Image and Speech Recognition Confidences. 85-96 - Hui-Jin Lee, Ki-Sang Hong:
Class-Specific Weighted Dominant Orientation Templates for Object Detection. 97-110 - Keren Fu, Chen Gong, Jie Yang, Yue Zhou:
Salient Object Detection via Color Contrast and Color Distribution. 111-122 - Junge Zhang, Yongzhen Huang, Kaiqi Huang, Zifeng Wu, Tieniu Tan:
Data Decomposition and Spatial Mixture Modeling for Part Based Model. 123-137 - Marcin Eichner, Vittorio Ferrari:
Appearance Sharing for Collective Human Pose Estimation. 138-151 - Angela Eigenstetter, Pradeep Krishna Yarlagadda, Björn Ommer:
Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching. 152-163 - Bo Li, Tianfu Wu, Wenze Hu, Mingtao Pei:
Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection. 164-175 - Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars:
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. 176-189 - Weiqiang Ren, Yongzhen Huang, Xin Zhao, Kaiqi Huang, Tieniu Tan:
Local Hypersphere Coding Based on Edges between Visual Words. 190-203 - Sancho McCann, David G. Lowe:
Spatially Local Coding for Object Recognition. 204-217 - Björn Fröhlich, Erik Rodner, Joachim Denzler:
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. 218-231 - Sandra Ebert, Mario Fritz, Bernt Schiele:
Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. 232-245 - Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. 246-258 - Guangxiao Zhang, Zhuolin Jiang, Larry S. Davis:
Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation. 259-273 - Lin Chen, Lixin Duan, Ivor W. Tsang, Dong Xu:
Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction. 274-288
Oral Session 2: Object Recognition I
- Wei Zheng, Songlin Song, Hong Chang, Xilin Chen:
Grouping Active Contour Fragments for Object Recognition. 289-301 - Paul Wohlhart, Michael Donoser, Peter M. Roth, Horst Bischof:
Detecting Partially Occluded Objects with an Implicit Shape Model Random Field. 302-315 - Shaoxin Li, Shiguang Shan, Xilin Chen:
Relative Forest for Attribute Prediction. 316-327 - Huimin Guo, Zhuolin Jiang, Larry S. Davis:
Discriminative Dictionary Learning with Pairwise Constraints. 328-342
Poster Session 2: Feature, Representation, and Recognition
- Yinfu Feng, Jun Xiao, Yueting Zhuang, Xiaoming Liu:
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition. 343-357 - Aditya Nigam, Phalguni Gupta:
Iris Recognition Using Consistent Corner Optical Flow. 358-369 - Gayathri Mahalingam, Chandra Kambhamettu:
Face Recognition in Videos - A Graph Based Modified Kernel Discriminant Analysis. 370-381 - Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar:
Learning Hierarchical Bag of Words Using Naive Bayes Clustering. 382-395 - Meng Wang, Zhaoxiang Zhang, Yunhong Wang:
Efficient Human Parsing Based on Sketch Representation. 396-407 - Yu Zhang, Jianxin Wu, Weiyao Lin:
Exclusive Visual Descriptor Quantization. 408-421 - Phoenix X. Huang, Bastiaan Johannes Boom, Robert B. Fisher:
Underwater Live Fish Recognition Using a Balance-Guaranteed Optimized Tree. 422-433 - Ekaterina Potapova, Michael Zillich, Markus Vincze:
Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds. 434-445 - Karel Zimmermann, David Hurych, Tomás Svoboda:
Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection. 446-459 - David Ok, Renaud Marlet, Jean-Yves Audibert:
Efficient and Scalable 4th-Order Match Propagation. 460-473 - Tianzhu Zhang, Rui Cai, Zhiwei Li, Lei Zhang, Hanqing Lu:
Hierarchical Object Representations for Visual Recognition via Weakly Supervised Learning. 474-485 - Tony Tung, Takashi Matsuyama:
Invariant Surface-Based Shape Descriptor for Dynamic Surface Encoding. 486-499 - Wei Zhou, Sei-ichiro Kamata:
Linear Discriminant Analysis with Maximum Correntropy Criterion. 500-511 - Karthik Mahesh Varadarajan, Markus Vincze:
AfNet: The Affordance Network. 512-523 - Ling Chen:
A Directed Graphical Model for Linear Barcode Scanning from Blurred Images. 524-535 - Ke Ding, Yunhui Liu:
A Probabilistic 3D Model Retrieval System Using Sphere Image. 536-547 - Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary R. Bradski, Kurt Konolige, Nassir Navab:
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes. 548-562 - Jixu Chen, Xiaoming Liu, Siwei Lyu:
Boosting with Side Information. 563-577 - Takumi Kobayashi:
Generalized Mutual Subspace Based Methods for Image Set Classification. 578-592
Oral Session 3: Segmentation and Grouping
- Victor Adrian Prisacariu, Aleksandr V. Segal, Ian D. Reid:
Simultaneous Monocular 2D Segmentation, 3D Pose Recovery and 3D Reconstruction. 593-606 - Jongmin Kim, Youngjoo Seo, Sanghyuk Park, Sungrack Yun, Chang D. Yoo:
Joint Kernel Learning for Supervised Image Segmentation. 607-621 - M. V. Rohith, Chandra Kambhamettu:
Application of Heterogenous Motion Models towards Structure Recovery from Motion. 622-635
Poster Session 3: Segmentation, Grouping, and Classification
- Xiaowei Zhao, Shiguang Shan, Xiujuan Chai, Xilin Chen:
Locality-Constrained Active Appearance Model. 636-647 - Peng Li, Jian Cheng, Hanqing Lu:
Modeling Hidden Topics with Dual Local Consistency for Image Analysis. 648-659 - Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa:
Design of Non-Linear Discriminative Dictionaries for Image Classification. 660-674 - Junqiu Wang, Yasushi Yagi:
Efficient Background Subtraction under Abrupt Illumination Variations. 675-688 - Radu Timofte, Tinne Tuytelaars, Luc Van Gool:
Naive Bayes Image Classification: Beyond Nearest Neighbors. 689-703 - Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Contextual Pooling in Image Classification. 704-715 - Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Spatial Graph for Image Classification. 716-729 - Jie-Zhi Cheng, Feng-Ju Chang, Kuang-Jui Hsu, Yen-Yu Lin:
Knowledge Leverage from Contours to Bounding Boxes: A Concise Approach to Annotation. 730-744 - Björn Scheuermann, Markus Schlosser, Bodo Rosenhahn:
Efficient Pixel-Grouping Based on Dempster's Theory of Evidence for Image Segmentation. 745-759 - Fabio Galasso, Roberto Cipolla, Bernt Schiele:
Video Segmentation with Superpixels. 760-774 - Di Yang, Stephen Gould, Marcus Hutter:
A Noise Tolerant Watershed Transformation with Viscous Force for Seeded Image Segmentation. 775-789 - Dan Wang, Canxiang Yan, Shiguang Shan, Xilin Chen:
Active Learning for Interactive Segmentation with Expected Confidence Change. 790-802 - Vladislav Kramarev, Oliver Demetz, Christopher Schroers, Joachim Weickert:
Cross Anisotropic Cost Volume Filtering for Segmentation. 803-814
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