Výsledky vyhledávání - "2012 IEEE Conference on Computer Vision and Pattern Recognition"

Are we ready for autonomous driving? The KITTI vision benchmark suite Autor Geiger, A., Lenz, P., Urtasun, R.

“…Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding…”
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Multi-column deep neural networks for image classification Autor Ciresan, D., Meier, U., Schmidhuber, J.

“…Traditional methods of computer vision and machine learning cannot match human performance on tasks such as the recognition of handwritten digits or traffic…”
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Geodesic flow kernel for unsupervised domain adaptation Autor Boqing Gong, Yuan Shi, Fei Sha, Grauman, K.

“…In real-world applications of visual recognition, many factors - such as pose, illumination, or image quality - can cause a significant mismatch between the…”
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Cats and dogs Autor Parkhi, O. M., Vedaldi, A., Zisserman, A., Jawahar, C. V.

“…We investigate the fine grained object categorization problem of determining the breed of animal from an image. To this end we introduce a new annotated…”
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Saliency filters: Contrast based filtering for salient region detection Autor Perazzi, F., Krahenbuhl, P., Pritch, Y., Hornung, A.

“…Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often…”
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Face detection, pose estimation, and landmark localization in the wild Autor Xiangxin Zhu, Ramanan, D.

“…We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of…”
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FREAK: Fast Retina Keypoint Autor Alahi, A., Ortiz, R., Vandergheynst, P.

“…A large number of vision applications rely on matching keypoints across images. The last decade featured an arms-race towards faster and more robust keypoints…”
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Mining actionlet ensemble for action recognition with depth cameras Autor Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan

“…Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this…”
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Supervised hashing with kernels Autor Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang

“…Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by…”
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Image denoising: Can plain neural networks compete with BM3D? Autor Burger, H. C., Schuler, C. J., Harmeling, S.

“…Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate…”
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Three things everyone should know to improve object retrieval Autor Arandjelovic, R., Zisserman, A.

“…The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate…”
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Visual tracking via adaptive structural local sparse appearance model Autor Xu Jia, Huchuan Lu, Ming-Hsuan Yang

“…Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most…”
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AVA: A large-scale database for aesthetic visual analysis Autor Murray, N., Marchesotti, L., Perronnin, F.

“…With the ever-expanding volume of visual content available, the ability to organize and navigate such content by aesthetic preference is becoming increasingly…”
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Robust object tracking via sparsity-based collaborative model Autor Wei Zhong, Huchuan Lu, Ming-Hsuan Yang

“…In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object tracking is to account for drastic…”
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Real time robust L1 tracker using accelerated proximal gradient approach Autor Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji

“…Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which…”
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Detecting texts of arbitrary orientations in natural images Autor Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu

“…With the increasing popularity of practical vision systems and smart phones, text detection in natural scenes becomes a critical yet challenging task. Most…”
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Large scale metric learning from equivalence constraints Autor Kostinger, M., Hirzer, M., Wohlhart, P., Roth, P. M., Bischof, H.

“…In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather…”
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Unsupervised feature learning framework for no-reference image quality assessment Autor Peng Ye, Kumar, J., Le Kang, Doermann, D.

“…In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature…”
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SUN attribute database: Discovering, annotating, and recognizing scene attributes Autor Patterson, G., Hays, J.

“…In this paper we present the first large-scale scene attribute database. First, we perform crowd-sourced human studies to find a taxonomy of 102 discriminative…”
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Enhancing underwater images and videos by fusion Autor Ancuti, C., Ancuti, C. O., Haber, T., Bekaert, P.

“…This paper describes a novel strategy to enhance underwater videos and images. Built on the fusion principles, our strategy derives the inputs and the weight…”
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