作者: LAVA 時(shí)間: 2025-3-21 21:08
Statistics of Patch Offsets for Image Completionhat if we match similar patches in the image and obtain their offsets (relative positions), the statistics of these offsets are sparsely distributed. We further observe that a few dominant offsets provide reliable information for completing the image. With these offsets we fill the missing region by作者: HARD 時(shí)間: 2025-3-22 03:36 作者: Vertebra 時(shí)間: 2025-3-22 06:15
MatchMiner: Efficient Spanning Structure Mining in Large Image Collectionstions often require knowledge of the visual connectivity structure of these image collections—describing which images overlap or are otherwise related—and an important step in understanding this structure is to identify . of this underlying image graph. As the structure of this graph is often initia作者: dapper 時(shí)間: 2025-3-22 11:56
V1-Inspired Features Induce a Weighted Margin in SVMsisual classification tasks including object recognition/detection, pedestrian detection and facial expression classification. A central question in the vision, learning and neuroscience communities regards . these architectures perform so well. In this paper, we offer a unique perspective to this qu作者: 分期付款 時(shí)間: 2025-3-22 15:24 作者: 分期付款 時(shí)間: 2025-3-22 17:59 作者: 無(wú)目標(biāo) 時(shí)間: 2025-3-22 22:56 作者: Breach 時(shí)間: 2025-3-23 03:20 作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-23 06:33 作者: 得意人 時(shí)間: 2025-3-23 10:32
Facial Action Transfer with Personalized Bilinear Regressiongames, and privacy protection. The goal of FAT is to “clone” the facial actions from the videos of one person (source) to another person (target). In this paper, we will assume that we have a video of the source person but only one frontal image of the target person. Most successful methods for FAT 作者: MOTTO 時(shí)間: 2025-3-23 17:13 作者: 多樣 時(shí)間: 2025-3-23 21:05 作者: Hirsutism 時(shí)間: 2025-3-23 22:28 作者: 口音在加重 時(shí)間: 2025-3-24 05:50
On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labelingmited by their inability to capture higher-order correlations. Recently proposed higher-order models are showing superior performance to their pairwise counterparts. In this paper, we derive two variants of the higher-order lower linear envelop model and show how to perform tractable move-making inf作者: GOAD 時(shí)間: 2025-3-24 06:48 作者: Surgeon 時(shí)間: 2025-3-24 12:51
Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization problem, where an image may contain several regions belonging to different classes, this distance may not work well since it cannot discriminate local features from different regions in the test image and all local features have to be counted in the I2C distance calculation. In this paper, we propo作者: 指耕作 時(shí)間: 2025-3-24 15:33
Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Rankingied increases. Often objects might have some sort of structure such as a taxonomy in which the mis-classification score for object classes close by, using tree distance within the taxonomy, should be less than for those far apart. This is an example of multi-class classification in which the loss fu作者: 脾氣暴躁的人 時(shí)間: 2025-3-24 19:02
Robust Point Matching Revisited: A Concave Optimization Approachhe global optimality of the solution and tends to align the centers of two point sets. Second, deformation needs to be regularized to avoid the generation of undesirable results. To address these problems, in this paper we first show that the energy function of RPM can be reduced to a concave functi作者: 聽(tīng)寫 時(shí)間: 2025-3-24 23:57 作者: 小木槌 時(shí)間: 2025-3-25 06:18 作者: SOBER 時(shí)間: 2025-3-25 08:12 作者: meditation 時(shí)間: 2025-3-25 15:10
The Discovery of the Artificial viewpoint on the role of V1-inspired features allows us to answer fundamental questions on the uniqueness and redundancies of these features, and offer substantial improvements in terms of computational and storage efficiency.作者: 有角 時(shí)間: 2025-3-25 16:05
The Disentanglement of Populationsuctured SVM paradigm to learn optimal parameters and show some practical techniques to overcome huge computation requirements. We evaluate our model on the problems of image denoising and semantic segmentation.作者: pineal-gland 時(shí)間: 2025-3-25 23:43 作者: single 時(shí)間: 2025-3-26 02:39
Object-Centric Spatial Pooling for Image Classificationbels, or so-called weak labels. We validate our approach on the challenging PASCAL07 dataset. Our learned detectors are comparable in accuracy with state-of-the-art weakly supervised detection methods. More importantly, the resulting OCP approach significantly outperforms SPM-based pooling in image classification.作者: 侵蝕 時(shí)間: 2025-3-26 06:54
V1-Inspired Features Induce a Weighted Margin in SVMs viewpoint on the role of V1-inspired features allows us to answer fundamental questions on the uniqueness and redundancies of these features, and offer substantial improvements in terms of computational and storage efficiency.作者: adipose-tissue 時(shí)間: 2025-3-26 11:15 作者: Grating 時(shí)間: 2025-3-26 15:31
Robust Point Matching Revisited: A Concave Optimization Approachon, and does not need regularization for simple transformations such as similarity transform. Experiments on synthetic and real data validate the advantages of our method in comparison with state-of-the-art methods.作者: Alienated 時(shí)間: 2025-3-26 20:12 作者: EVADE 時(shí)間: 2025-3-26 21:15 作者: deface 時(shí)間: 2025-3-27 03:14
The Disentanglement of Populationsthat are strictly necessary (less than 4 times the number of regions). Comparative tests highlight its efficiency, which can be up to 75 times faster than IH. In particular, we show that our approach is much less sensitive than IH to histogram quantization and to the size of the ROI.作者: 獨(dú)白 時(shí)間: 2025-3-27 06:32
Spectral Demons – Image Registration via Global Spectral Correspondenceemons framework for diffeomorphic image registration. Our method, called ., can capture very large, complex and highly non-local deformations between images. We evaluate the improvements of our method on 2D and 3D images and demonstrate substantial improvement over the conventional Demons algorithm for large deformations.作者: aquatic 時(shí)間: 2025-3-27 10:00
Depth Matters: Influence of Depth Cues on Visual Saliencyepancies between 2D and 3D human fixation data of the same scenes, which are further abstracted and modeled as novel depth priors. Finally, we evaluate the performances of state-of-the-art saliency detection models over 3D images, and propose solutions to enhance their performances by integrating the depth priors.作者: nitric-oxide 時(shí)間: 2025-3-27 15:51 作者: 我吃花盤旋 時(shí)間: 2025-3-27 18:57
Quaternion-Based Spectral Saliency Detection for Eye Fixation Predictional saliency models that are based on the quaternion Fourier transform. We demonstrate the outstanding performance on the Bruce-Tsotsos (Toronto), Judd (MIT), and Kootstra- Schomacker eye-tracking data sets.作者: 平躺 時(shí)間: 2025-3-27 22:40
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.978-3-642-33708-6978-3-642-33709-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-28 04:23
0302-9743 utes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shap作者: menopause 時(shí)間: 2025-3-28 07:40
Rehabilitating the Philosophy of HistoryWe further observe that a few dominant offsets provide reliable information for completing the image. With these offsets we fill the missing region by combining a stack of shifted images via optimization. A variety of experiments show that our method yields generally better results and is faster than existing state-of-the-art methods.作者: Ophthalmoscope 時(shí)間: 2025-3-28 13:54 作者: Gyrate 時(shí)間: 2025-3-28 17:33
Conference proceedings 2012012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image 作者: 傳染 時(shí)間: 2025-3-28 21:04
Andrew Fitzgibbon,Svetlana Lazebnik,Cordelia SchmiUp to date results.Fast track conference proceedings.State of the art research作者: anus928 時(shí)間: 2025-3-29 00:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234160.jpg作者: visceral-fat 時(shí)間: 2025-3-29 06:45
Computer Vision – ECCV 2012978-3-642-33709-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 大炮 時(shí)間: 2025-3-29 10:14 作者: effrontery 時(shí)間: 2025-3-29 15:03
Rehabilitating the Philosophy of Historyhat if we match similar patches in the image and obtain their offsets (relative positions), the statistics of these offsets are sparsely distributed. We further observe that a few dominant offsets provide reliable information for completing the image. With these offsets we fill the missing region by作者: Dungeon 時(shí)間: 2025-3-29 17:11 作者: 蒼白 時(shí)間: 2025-3-29 21:16
Chemical Machines and Action Systems,tions often require knowledge of the visual connectivity structure of these image collections—describing which images overlap or are otherwise related—and an important step in understanding this structure is to identify . of this underlying image graph. As the structure of this graph is often initia作者: Occipital-Lobe 時(shí)間: 2025-3-30 02:14
The Discovery of the Artificialisual classification tasks including object recognition/detection, pedestrian detection and facial expression classification. A central question in the vision, learning and neuroscience communities regards . these architectures perform so well. In this paper, we offer a unique perspective to this qu作者: 被詛咒的人 時(shí)間: 2025-3-30 04:24 作者: 熱烈的歡迎 時(shí)間: 2025-3-30 12:12
The Secret of Protein Sophistication,-similarity structures, nonaccidental alignment, and instance-specific modelling. The method searches for self-similar image structures that form nonaccidental patterns, for example collinear arrangements. We demonstrate a simple implementation of this idea where self-similar structures are found by作者: 沙漠 時(shí)間: 2025-3-30 15:05
Sergei Kurgalin,Sergei Borzunovnatural three dimensional environments, it is important to study whether and how depth information influences visual saliency. In this work, we first collect a large human eye fixation database compiled from a pool of 600 2D-vs-3D image pairs viewed by 80 subjects, where the depth information is dir作者: esoteric 時(shí)間: 2025-3-30 19:41
Sergei Kurgalin,Sergei Borzunovin images (see, e.g., [1–3]). We systematically integrate and evaluate quaternion DCT- and FFT-based spectral saliency detection [3,4], weighted quaternion color space components [5], and the use of multiple resolutions [1]. Furthermore, we propose the use of the eigenaxes and eigenangles for spectr作者: Serenity 時(shí)間: 2025-3-30 23:16 作者: Arctic 時(shí)間: 2025-3-31 04:45 作者: 類人猿 時(shí)間: 2025-3-31 06:06 作者: 套索 時(shí)間: 2025-3-31 12:24 作者: 思想流動(dòng) 時(shí)間: 2025-3-31 13:41
The Disentanglement of Populationse well-known Integral Histogram (IH), our approach significantly outperforms it, both in terms of memory requirements and of response times. By preprocessing the region of interest (ROI) computing and storing a temporary histogram for each of its pixels, IH is effective only when a large amount of h作者: 食草 時(shí)間: 2025-3-31 17:49 作者: 有幫助 時(shí)間: 2025-3-31 23:08
https://doi.org/10.1057/9780230297685paper tackles the problem of sparse coding and dictionary learning in the space of symmetric positive definite matrices, which form a Riemannian manifold. With the aid of the recently introduced Stein kernel (related to a symmetric version of Bregman matrix divergence), we propose to perform sparse 作者: antidote 時(shí)間: 2025-4-1 03:15
