Search Results - "CVPR 2011"

Learning photographic global tonal adjustment with a database of input/output image pairs by Bychkovsky, V., Paris, S., Chan, E., Durand, F.

“…Adjusting photographs to obtain compelling renditions requires skill and time. Even contrast and brightness adjustments are challenging because they require…”
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Learning photographic global tonal adjustment with a database of input / output image pairs by Bychkovsky, V., Paris, S., Chan, E., Durand, F.

“…Adjusting photographs to obtain compelling renditions requires skill and time. Even contrast and brightness adjustments are challenging because they require…”
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Real-time human pose recognition in parts from single depth images by Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.

“…We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an…”
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Unbiased look at dataset bias by Torralba, A., Efros, A. A.

“…Datasets are an integral part of contemporary object recognition research. They have been the chief reason for the considerable progress in the field, not just…”
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Action recognition by dense trajectories by Heng Wang, Klaser, A., Schmid, C., Cheng-Lin Liu

“…Feature trajectories have shown to be efficient for representing videos. Typically, they are extracted using the KLT tracker or matching SIFT descriptors…”
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Global contrast based salient region detection by Ming-Ming Cheng, Guo-Xin Zhang, Mitra, N. J., Xiaolei Huang, Shi-Min Hu

“…Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in…”
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Iterative quantization: A procrustean approach to learning binary codes by Yunchao Gong, Lazebnik, S.

“…This paper addresses the problem of learning similarity-preserving binary codes for efficient retrieval in large-scale image collections. We propose a simple…”
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Articulated pose estimation with flexible mixtures-of-parts by Yi Yang, Ramanan, D.

“…We describe a method for human pose estimation in static images based on a novel representation of part models. Notably, we do not use articulated limb parts,…”
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Face recognition in unconstrained videos with matched background similarity by Wolf, L., Hassner, T., Maoz, I.

“…Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique…”
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Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis by Le, Q. V., Zou, W. Y., Yeung, S. Y., Ng, A. Y.

“…Previous work on action recognition has focused on adapting hand-designed local features, such as SIFT or HOG, from static images to the video domain. In this…”
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Sparse reconstruction cost for abnormal event detection by Yang Cong, Junsong Yuan, Ji Liu

“…We propose to detect abnormal events via a sparse reconstruction over the normal bases. Given an over-complete normal basis set (e.g., an image sequence or a…”
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Globally-optimal greedy algorithms for tracking a variable number of objects by Pirsiavash, H., Ramanan, D., Fowlkes, C. C.

“…We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the…”
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Blind deconvolution using a normalized sparsity measure by Krishnan, D., Tay, T., Fergus, R.

“…Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a…”
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Person re-identification by probabilistic relative distance comparison by Wei-Shi Zheng, Shaogang Gong, Tao Xiang

“…Matching people across non-overlapping camera views, known as person re-identification, is challenging due to the lack of spatial and temporal constraints and…”
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A large-scale benchmark dataset for event recognition in surveillance video by Sangmin Oh, Hoogs, A., Perera, A., Cuntoor, N., Chia-Chih Chen, Jong Taek Lee, Mukherjee, S., Aggarwal, J. K., Hyungtae Lee, Davis, L., Swears, E., Xioyang Wang, Qiang Ji, Reddy, K., Shah, M., Vondrick, C., Pirsiavash, H., Ramanan, D., Yuen, J., Torralba, A., Bi Song, Fong, A., Roy-Chowdhury, A., Desai, M.

“…We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous…”
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Learning a discriminative dictionary for sparse coding via label consistent K-SVD by Zhuolin Jiang, Zhe Lin, Davis, L. S.

“…A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training…”
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Efficient marginal likelihood optimization in blind deconvolution by Levin, A., Weiss, Y., Durand, F., Freeman, W. T.

“…In blind deconvolution one aims to estimate from an input blurred image y a sharp image x and an unknown blur kernel k. Recent research shows that a key to…”
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What you saw is not what you get: Domain adaptation using asymmetric kernel transforms by Kulis, B., Saenko, K., Darrell, T.

“…In real-world applications, "what you saw" during training is often not "what you get" during deployment: the distribution and even the type and dimensionality…”
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Robust sparse coding for face recognition by Meng Yang, Lei Zhang, Jian Yang, Zhang, D.

“…Recently the sparse representation (or coding) based classification (SRC) has been successfully used in face recognition. In SRC, the testing image is…”
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Online detection of unusual events in videos via dynamic sparse coding by Bin Zhao, Li Fei-Fei, Xing, E. P.

“…Real-time unusual event detection in video stream has been a difficult challenge due to the lack of sufficient training information, volatility of the…”
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