作者: 倒轉(zhuǎn) 時(shí)間: 2025-3-21 23:51
Faceless Person Recognition: Privacy Implications in Social Medias works contributes to the understanding of privacy implications of such data sharing by analysing how well people are recognisable in social media data. To facilitate a systematic study we define a number of scenarios considering factors such as how many heads of a person are tagged and if those he作者: 防銹 時(shí)間: 2025-3-22 01:33
Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentationskill evaluation. However, despite substantial recent progress in large-scale action classification, the performance of state-of-the-art fine-grained action recognition approaches remains low. We propose a model for action segmentation which combines low-level spatiotemporal features with a high-lev作者: CREEK 時(shí)間: 2025-3-22 08:22 作者: lambaste 時(shí)間: 2025-3-22 11:31
Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmarktistage convolutional networks and deep learning have also emerged. In different papers the performance comparison of the proposed methods to earlier approaches is mainly done with some well-known texture datasets, with differing classifiers and testing protocols, and often not using the best sets o作者: 壕溝 時(shí)間: 2025-3-22 15:53 作者: 壕溝 時(shí)間: 2025-3-22 20:29 作者: Chagrin 時(shí)間: 2025-3-22 23:24
A 4D Light-Field Dataset and CNN Architectures for Material Recognition4D light-field. Our dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in?total. To the best of our knowledge, this is the first mid-size dataset for light-field images. Our main goal is to investigate whether the additi作者: Repetitions 時(shí)間: 2025-3-23 03:08 作者: 耐寒 時(shí)間: 2025-3-23 05:57
All-Around Depth from Small Motion with a Spherical Panoramic Camerar vision. For capturing full 360 degree panoramas in a single shot, the Spherical Panoramic Camera (SPC) are gaining in popularity. However, estimating depth from a SPC remains a challenging problem. In this paper, we propose a practical method that generates all-around dense depth map using a narro作者: 思考 時(shí)間: 2025-3-23 10:26
On Volumetric Shape Reconstruction from Implicit Formsions build implicit representations of shapes that are converted into explicit shape representations using geometric tools such as the Marching Cubes algorithm. This is the case with image based reconstructions that produce point clouds from which implicit functions are computed, with for instance a作者: KIN 時(shí)間: 2025-3-23 14:07
Multi-attributed Graph Matching with?Multi-layer Random Walksattribute. Since most of conventional graph matching algorithms integrate multiple attributes to construct a single attribute in an oversimplified way, the information from multiple attributes are not often fully exploited. In order to solve this problem, we propose a novel multi-layer graph structu作者: perpetual 時(shí)間: 2025-3-23 18:42
Deep Learning of Local RGB-D Patches for 3D?Object Detection and 6D Pose Estimationy a convolutional auto-encoder that has been trained on a large collection of random local patches. During testing, scene patch descriptors are matched against a database of synthetic model view patches and cast 6D object votes which are subsequently filtered to refined hypotheses. We evaluate on th作者: 相信 時(shí)間: 2025-3-23 23:15
A Neural Approach to Blind Motion Deblurringhat are blurred by an unknown motion kernel. Instead of regressing directly to patch intensities, this network learns to predict the complex Fourier coefficients of a deconvolution filter to be applied to the input patch for restoration. For inference, we apply the network independently to all overl作者: negligence 時(shí)間: 2025-3-24 04:15 作者: 貴族 時(shí)間: 2025-3-24 06:39 作者: Haphazard 時(shí)間: 2025-3-24 12:28 作者: subordinate 時(shí)間: 2025-3-24 17:09 作者: vasospasm 時(shí)間: 2025-3-24 20:36 作者: encyclopedia 時(shí)間: 2025-3-25 00:08 作者: MERIT 時(shí)間: 2025-3-25 06:28 作者: 地名表 時(shí)間: 2025-3-25 10:18 作者: 謙虛的人 時(shí)間: 2025-3-25 14:25 作者: Colonoscopy 時(shí)間: 2025-3-25 18:41 作者: 擁護(hù) 時(shí)間: 2025-3-25 20:23 作者: HEDGE 時(shí)間: 2025-3-26 02:28
A Neural Approach to Blind Motion Deblurringbal blur kernel by relating this estimate to the observed image, and finally perform non-blind deconvolution with this kernel. Our method exhibits accuracy and robustness close to state-of-the-art iterative methods, while being much faster when parallelized on GPU hardware.作者: V切開 時(shí)間: 2025-3-26 06:06 作者: 老人病學(xué) 時(shí)間: 2025-3-26 10:32
New Zealand Context and Beyond,w to use this symmetry to construct more compact polynomial solvers. As a second contribution we present a simple and automatic method for finding these symmetries for a given problem. Finally we show two examples where these symmetries occur in real applications.作者: 小故事 時(shí)間: 2025-3-26 15:47
Uncovering Symmetries in Polynomial Systemsw to use this symmetry to construct more compact polynomial solvers. As a second contribution we present a simple and automatic method for finding these symmetries for a given problem. Finally we show two examples where these symmetries occur in real applications.作者: 粗糙 時(shí)間: 2025-3-26 19:32 作者: CHIDE 時(shí)間: 2025-3-26 23:23 作者: Gustatory 時(shí)間: 2025-3-27 02:01
Categorisation of Alternatives,window detections, in multiple scenes to obtain candidate matches from which an alignment hypothesis can be computed. To determine the best alignment, we propose a novel cost function that takes both the number of window matches and the intersection of the aligned models into account. We evaluate our solution on multiple challenging datasets.作者: Inferior 時(shí)間: 2025-3-27 06:48 作者: 美色花錢 時(shí)間: 2025-3-27 13:25 作者: sinoatrial-node 時(shí)間: 2025-3-27 16:40 作者: 場所 時(shí)間: 2025-3-27 21:20
https://doi.org/10.1007/978-3-642-31647-0ially noisy face clustering result. Experiments on three benchmark video datasets demonstrate that our approach generates character clusters with high purity compared to existing video face clustering methods, which are either based on deep face representation (without adaptation) or carefully engineered features.作者: DAFT 時(shí)間: 2025-3-27 22:10 作者: Chromatic 時(shí)間: 2025-3-28 05:31 作者: 立即 時(shí)間: 2025-3-28 07:05 作者: 羽毛長成 時(shí)間: 2025-3-28 11:28
Joint Face Representation Adaptation and Clustering in Videosially noisy face clustering result. Experiments on three benchmark video datasets demonstrate that our approach generates character clusters with high purity compared to existing video face clustering methods, which are either based on deep face representation (without adaptation) or carefully engineered features.作者: INCH 時(shí)間: 2025-3-28 18:20
Conference proceedings 2016eo: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions..作者: 燦爛 時(shí)間: 2025-3-28 18:57 作者: 閃光東本 時(shí)間: 2025-3-29 01:57
Structure from Motion on a Sphere solver in a structure-from-motion pipeline that aggregates pairwise relations by rotation averaging followed by bundle adjustment with an inverse depth parameterization. Our methods enable scene modeling with an outward-facing camera and object scanning with an inward-facing camera.作者: 小木槌 時(shí)間: 2025-3-29 06:22 作者: JIBE 時(shí)間: 2025-3-29 07:17 作者: 營養(yǎng) 時(shí)間: 2025-3-29 15:24 作者: 不可思議 時(shí)間: 2025-3-29 18:53 作者: charisma 時(shí)間: 2025-3-29 21:24
Leonardo Soares Nader,Samila Inácio Dutras works contributes to the understanding of privacy implications of such data sharing by analysing how well people are recognisable in social media data. To facilitate a systematic study we define a number of scenarios considering factors such as how many heads of a person are tagged and if those he作者: 虛度 時(shí)間: 2025-3-30 01:19 作者: Harness 時(shí)間: 2025-3-30 07:27
https://doi.org/10.1007/978-94-6265-258-3 surface. In this case, the camera’s pose is minimally represented by three rotation parameters. From analysis of the epipolar geometry we derive a novel and efficient solution for the essential matrix relating two images, requiring only three point correspondences in the minimal case. We apply this作者: 襲擊 時(shí)間: 2025-3-30 08:55
Luisa Vierucci,Polina Korotkikhtistage convolutional networks and deep learning have also emerged. In different papers the performance comparison of the proposed methods to earlier approaches is mainly done with some well-known texture datasets, with differing classifiers and testing protocols, and often not using the best sets o作者: Peculate 時(shí)間: 2025-3-30 14:05 作者: 先行 時(shí)間: 2025-3-30 16:39 作者: palliate 時(shí)間: 2025-3-30 21:12 作者: Androgen 時(shí)間: 2025-3-31 01:52
New Zealand Context and Beyond,pairs may result in disconnected structures or incomplete components, while costly redundant pairs containing erroneous ones may lead to folded and superimposed structures. This paper presents a graph-based image matching method that tackles the issues of completeness, efficiency and consistency in 作者: Popcorn 時(shí)間: 2025-3-31 06:41
Financially Unavailable Treatment Options,r vision. For capturing full 360 degree panoramas in a single shot, the Spherical Panoramic Camera (SPC) are gaining in popularity. However, estimating depth from a SPC remains a challenging problem. In this paper, we propose a practical method that generates all-around dense depth map using a narro作者: 裁決 時(shí)間: 2025-3-31 12:41
https://doi.org/10.1007/978-3-642-31647-0ions build implicit representations of shapes that are converted into explicit shape representations using geometric tools such as the Marching Cubes algorithm. This is the case with image based reconstructions that produce point clouds from which implicit functions are computed, with for instance a作者: novelty 時(shí)間: 2025-3-31 13:50 作者: BIBLE 時(shí)間: 2025-3-31 19:09 作者: addition 時(shí)間: 2025-4-1 00:40 作者: sleep-spindles 時(shí)間: 2025-4-1 02:38 作者: Pelvic-Floor 時(shí)間: 2025-4-1 08:52 作者: MONY 時(shí)間: 2025-4-1 13:00
