Výsledky vyhledávání - "2009 IEEE Conference on Computer Vision and Pattern Recognition"

ImageNet: A large-scale hierarchical image database Autor Jia Deng, Wei Dong, Socher, Richard, Li-Jia Li, Kai Li, Li Fei-Fei

“…The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and…”
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Frequency-tuned salient region detection Autor Achanta, Radhakrishna, Hemami, Sheila, Estrada, Francisco, Susstrunk, Sabine

“…Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper,…”
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Learning to detect unseen object classes by between-class attribute transfer Autor Lampert, Christoph H, Nickisch, Hannes, Harmeling, Stefan

“…We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This…”
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Linear spatial pyramid matching using sparse coding for image classification Autor Jianchao Yang, Kai Yu, Yihong Gong, Huang, Thomas

“…Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs…”
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Visual tracking with online Multiple Instance Learning Autor Babenko, Boris, Ming-Hsuan Yang, Belongie, Serge

“…In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called…”
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Abnormal crowd behavior detection using social force model Autor Mehran, Ramin, Oyama, Alexis, Shah, Mubarak

“…In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of…”
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Single image haze removal using dark channel prior Autor Kaiming He, Jian Sun, Xiaoou Tang

“…In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a single input image. The dark channel prior is a kind of…”
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Describing objects by their attributes Autor Farhadi, Ali, Endres, Ian, Hoiem, Derek, Forsyth, David

“…We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual…”
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Recognizing indoor scenes Autor Quattoni, Ariadna, Torralba, Antonio

“…Indoor scene recognition is a challenging open problem in high level vision. Most scene recognition models that work well for outdoor scenes perform poorly in…”
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Understanding and evaluating blind deconvolution algorithms Autor Levin, Anat, Weiss, Yair, Durand, Fredo, Freeman, William T

“…Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress,…”
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Pedestrian detection: A benchmark Autor Dollar, Piotr, Wojek, Christian, Schiele, Bernt, Perona, Pietro

“…Pedestrian detection is a key problem in computer vision, with several applications including robotics, surveillance and automotive safety. Much of the…”
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Recognizing realistic actions from videos "in the wild" Autor Jingen Liu, Jiebo Luo, Shah, Mubarak

“…In this paper, we present a systematic framework for recognizing realistic actions from videos "in the wild". Such unconstrained videos are abundant in…”
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Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models Autor Kratz, Louis, Nishino, Ko

“…Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical…”
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Pictorial structures revisited: People detection and articulated pose estimation Autor Andriluka, Mykhaylo, Roth, Stefan, Schiele, Bernt

“…Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over…”
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Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions Autor Chaudhry, Rizwan, Ravichandran, Avinash, Hager, Gregory, Vidal, Rene

“…System theoretic approaches to action recognition model the dynamics of a scene with linear dynamical systems (LDSs) and perform classification using metrics…”
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Human age estimation using bio-inspired features Autor Guodong Guo, Guowang Mu, Yun Fu, Huang, Thomas S

“…We investigate the biologically inspired features (BIF) for human age estimation from faces. As in previous bio-inspired models, a pyramid of Gabor filters are…”
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Real-time O(1) bilateral filtering Autor Qingxiong Yang, Kar-Han Tan, Ahuja, Narendra

“…We propose a new bilateral filtering algorithm with computational complexity invariant to filter kernel size, so-called O(1) or constant time in the…”
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An empirical study of context in object detection Autor Divvala, Santosh K, Hoiem, Derek, Hays, James H, Efros, Alexei A, Hebert, Martial

“…This paper presents an empirical evaluation of the role of context in a contemporary, challenging object detection task - the PASCAL VOC 2008. Previous…”
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From contours to regions: An empirical evaluation Autor Arbelaez, Pablo, Maire, Michael, Fowlkes, Charless, Malik, Jitendra

“…We propose a generic grouping algorithm that constructs a hierarchy of regions from the output of any contour detector. Our method consists of two steps, an…”
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A perceptually motivated online benchmark for image matting Autor Rhemann, Christoph, Rother, Carsten, Jue Wang, Gelautz, Margrit, Kohli, Pushmeet, Rott, Pamela

“…The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective…”
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