作者: Lucubrate 時(shí)間: 2025-3-22 00:19 作者: 的闡明 時(shí)間: 2025-3-22 03:01 作者: 相一致 時(shí)間: 2025-3-22 08:33 作者: 打折 時(shí)間: 2025-3-22 09:22 作者: indoctrinate 時(shí)間: 2025-3-22 16:57 作者: indoctrinate 時(shí)間: 2025-3-22 21:01 作者: Offstage 時(shí)間: 2025-3-22 22:45 作者: tariff 時(shí)間: 2025-3-23 01:36
Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Artrt denoising methods are visually clearly distinguishable and possess complementary strengths and failure modes. Motivated by this observation, we introduce a powerful non-parametric image restoration framework based on Regression Tree Fields (RTF). Our restoration model is a densely-connected tract作者: 沉思的魚(yú) 時(shí)間: 2025-3-23 05:51
A Probabilistic Approach to Robust Matrix Factorizationand when there exist outliers and missing data. In this paper, we propose a novel probabilistic model called Probabilistic Robust Matrix Factorization (PRMF) to solve this problem. In particular, PRMF is formulated with a Laplace error and a Gaussian prior which correspond to an ?. loss and an ?. re作者: EXULT 時(shí)間: 2025-3-23 13:02
Fast Parameter Sensitivity Analysis of PDE-Based Image Processing Methods approach is not based on a sampling strategy, instead we combine the polynomial chaos expansion and stochastic finite elements with PDE-based image processing operators. With our approach and a moderate number of parameters in the models the full sensitivity analysis is obtained at the cost of a fe作者: 一大群 時(shí)間: 2025-3-23 15:36
The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Modelsle), it is guaranteed to converge to a global optimum, passing through a series of monotonously improving local optima that are guaranteed to be optimal within a given and increasing Hamming distance. For a search depth of?1, it specializes to ICM. Between these extremes, a tradeoff between approxim作者: 步兵 時(shí)間: 2025-3-23 19:51 作者: FIN 時(shí)間: 2025-3-23 23:19
Contraction Moves for Geometric Model Fittinges are particularly useful for optimizing the assignments in model fitting frameworks whose energies include . (LC), as well as . (MRF) terms. These problems benefit from the contraction moves’ greater scope for removing instances from the model, reducing label costs. We demonstrate this effect on t作者: 發(fā)怨言 時(shí)間: 2025-3-24 04:03
General and Nested Wiberg Minimization: ,, and Maximum Likelihoodratively minimizing ||.???.(.)||. with respect to . only. This approach factors the matrix while effectively removing . from the minimization. We generalize the Wiberg approach beyond factorization to minimize an arbitrary function that is nonlinear in each of two sets of variables. In this paper we作者: 小卒 時(shí)間: 2025-3-24 07:32
Nonmetric Priors for Continuous Multilabel Optimization(.,.)?=?0 are required. In contrast to previous grid based approaches for the nonmetric case, the proposed prior is formulated in the continuous setting avoiding grid artifacts. In particular, the model is easy to implement, provides a convex relaxation for the Mumford-Shah functional and yields com作者: fetter 時(shí)間: 2025-3-24 13:12
Real-Time Camera Tracking: When is High Frame-Rate Best?at the computation required would be too great. Actually, increasing frame-rate is mitigated by reduced computational cost . in trackers which take advantage of prediction. Additionally, when we consider the physics of image formation, high frame-rate implies that the upper bound on shutter time is 作者: 我就不公正 時(shí)間: 2025-3-24 17:22 作者: Synapse 時(shí)間: 2025-3-24 22:28
Continuous Regression for Non-rigid Image Alignmentsed for face alignment. Broadly speaking, PAMs methods can be classified into generative and discriminative. Discriminative methods learn a mapping between appearance features and motion parameters (rigid and non-rigid). While discriminative approaches have some advantages (e.g., feature weighting, 作者: 我說(shuō)不重要 時(shí)間: 2025-3-24 23:48 作者: STANT 時(shí)間: 2025-3-25 06:51
Fast Parameter Sensitivity Analysis of PDE-Based Image Processing Methodsw Monte Carlo runs. To demonstrate the efficiency and simplicity of the approach we show a parameter sensitivity analysis for Perona-Malik diffusion, random walker and Ambrosio-Tortorelli segmentation, and discontinuity-preserving optical flow computation.作者: Ige326 時(shí)間: 2025-3-25 07:34
0302-9743 es, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.978-3-642-33785-7978-3-642-33786-4Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: monopoly 時(shí)間: 2025-3-25 14:03 作者: 營(yíng)養(yǎng) 時(shí)間: 2025-3-25 16:48 作者: 使人煩燥 時(shí)間: 2025-3-25 20:05
https://doi.org/10.1007/978-1-349-01974-8that by incorporating dynamics, modelling annotation/sequence specific biases, noise estimation and time warping, DPCTW outperforms state-of-the-art methods for both the aggregation of multiple, yet imperfect expert annotations as well as the alignment of affective behavior.作者: DOTE 時(shí)間: 2025-3-26 01:53 作者: 不容置疑 時(shí)間: 2025-3-26 05:57
Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysishen combined with discriminative SVM classifier, consistently achieves state-of-the-art performance on challenging texture and facial analysis datasets outperforming contemporary methods (with similar powerful classifiers).作者: 讓步 時(shí)間: 2025-3-26 11:03
SEEDS: Superpixels Extracted via Energy-Driven Samplingies and the superpixel color histogram. In a series of experiments, we show that we achieve an excellent compromise between accuracy and efficiency. We are able to achieve a performance comparable to the state-of-the-art, but in real-time on a single Intel i7 CPU at 2.8GHz.作者: GILD 時(shí)間: 2025-3-26 12:58 作者: ATOPY 時(shí)間: 2025-3-26 20:28 作者: 全國(guó)性 時(shí)間: 2025-3-26 21:00 作者: Alopecia-Areata 時(shí)間: 2025-3-27 02:54
Giuseppe Bonaldi,Alessandro Cianfonid employ MIL to accommodate the unknown scale and orientation of the symmetric structures. We systematically evaluate the performance contribution of each individual component in our pipeline, and demonstrate that overall we consistently improve upon results obtained using existing alternatives.作者: atrophy 時(shí)間: 2025-3-27 08:51 作者: Myelin 時(shí)間: 2025-3-27 11:18
Learning-Based Symmetry Detection in Natural Imagesd employ MIL to accommodate the unknown scale and orientation of the symmetric structures. We systematically evaluate the performance contribution of each individual component in our pipeline, and demonstrate that overall we consistently improve upon results obtained using existing alternatives.作者: 自制 時(shí)間: 2025-3-27 13:49 作者: 勉強(qiáng) 時(shí)間: 2025-3-27 21:25
Conference proceedings 2012 are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.作者: ECG769 時(shí)間: 2025-3-27 22:04 作者: 使迷醉 時(shí)間: 2025-3-28 02:09 作者: LVAD360 時(shí)間: 2025-3-28 07:36 作者: 鈍劍 時(shí)間: 2025-3-28 11:37 作者: 膽汁 時(shí)間: 2025-3-28 17:44
https://doi.org/10.1007/978-3-031-66804-3roblems benefit from the contraction moves’ greater scope for removing instances from the model, reducing label costs. We demonstrate this effect on the problem of fitting sets of geometric primitives to point cloud data, including real-world point clouds containing millions of points, obtained by multi-view reconstruction.作者: annexation 時(shí)間: 2025-3-28 20:19 作者: frozen-shoulder 時(shí)間: 2025-3-29 01:53
The Discourse of Commercializationll as occlusion, we propose an example-based prior distribution via dense image correspondences. We introduce a Bayesian formulation based on an image prior that can implement different effective behaviors based on the value of a single parameter. Using faces as examples, we show that our system outperforms the prior state of art.作者: 能量守恒 時(shí)間: 2025-3-29 03:48 作者: Intersect 時(shí)間: 2025-3-29 09:26
Contraction Moves for Geometric Model Fittingroblems benefit from the contraction moves’ greater scope for removing instances from the model, reducing label costs. We demonstrate this effect on the problem of fitting sets of geometric primitives to point cloud data, including real-world point clouds containing millions of points, obtained by multi-view reconstruction.作者: 切割 時(shí)間: 2025-3-29 12:08 作者: 透明 時(shí)間: 2025-3-29 18:09
A Bayesian Approach to Alignment-Based Image Hallucinationll as occlusion, we propose an example-based prior distribution via dense image correspondences. We introduce a Bayesian formulation based on an image prior that can implement different effective behaviors based on the value of a single parameter. Using faces as examples, we show that our system outperforms the prior state of art.作者: 遺傳學(xué) 時(shí)間: 2025-3-29 21:31 作者: corn732 時(shí)間: 2025-3-30 03:21 作者: Fibrillation 時(shí)間: 2025-3-30 07:04
https://doi.org/10.1007/978-3-540-72727-9tatistics as features. In contrast with models based on the global structure of textures and faces, it has been shown recently that small local pixel pattern distributions can be highly discriminative. Motivated by such works, the proposed model employs higher-order statistics of local non-binarized作者: CODA 時(shí)間: 2025-3-30 11:10
https://doi.org/10.1057/9780230373334y on minimizing objective functions to enforce color homogeneity. The optimization is accomplished by sophisticated methods that progressively build the superpixels, typically by adding cuts or growing superpixels. As a result, they are computationally too expensive for real-time applications. We in作者: Hyperopia 時(shí)間: 2025-3-30 12:40 作者: recession 時(shí)間: 2025-3-30 19:10 作者: vitreous-humor 時(shí)間: 2025-3-30 23:22
Emergence of the Modern Framework, 1850–1913class labels. We learn a model that can classify unseen test videos, as well as localize a region of interest in the video that captures the discriminative essence of the action class. A novel Similarity Constrained Latent Support Vector Machine model is developed to operationalize this goal. This m作者: 浪蕩子 時(shí)間: 2025-3-31 02:04 作者: Offbeat 時(shí)間: 2025-3-31 05:12
G. A. Fletcher B.A., M.Sc. (Econ.) challenging Hollywood2 benchmark [1,2,3]. These algorithms are based on local spatiotemporal descriptors that can be extracted either sparsely (at interest points) or densely (on regular grids), with dense sampling typically leading to the best performance [1]. Here, we investigate the benefit of s作者: 咒語(yǔ) 時(shí)間: 2025-3-31 12:40 作者: cochlea 時(shí)間: 2025-3-31 14:09
The Mechanism of Monetary Controlrt denoising methods are visually clearly distinguishable and possess complementary strengths and failure modes. Motivated by this observation, we introduce a powerful non-parametric image restoration framework based on Regression Tree Fields (RTF). Our restoration model is a densely-connected tract作者: OFF 時(shí)間: 2025-3-31 20:16 作者: JADED 時(shí)間: 2025-4-1 01:39
https://doi.org/10.1057/9780230372054 approach is not based on a sampling strategy, instead we combine the polynomial chaos expansion and stochastic finite elements with PDE-based image processing operators. With our approach and a moderate number of parameters in the models the full sensitivity analysis is obtained at the cost of a fe作者: Esophagus 時(shí)間: 2025-4-1 03:29 作者: 暫時(shí)休息 時(shí)間: 2025-4-1 09:41
