標(biāo)題: Titlebook: Articulated Motion and Deformable Objects; 10th International C Francisco José Perales,Josef Kittler Conference proceedings 2018 Springer I [打印本頁(yè)] 作者: 大腦 時(shí)間: 2025-3-21 17:09
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書(shū)目名稱(chēng)Articulated Motion and Deformable Objects影響因子(影響力)學(xué)科排名
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書(shū)目名稱(chēng)Articulated Motion and Deformable Objects讀者反饋
書(shū)目名稱(chēng)Articulated Motion and Deformable Objects讀者反饋學(xué)科排名
作者: 難管 時(shí)間: 2025-3-21 21:47 作者: anatomical 時(shí)間: 2025-3-22 03:57
Sweta Raian-Rankin,Mark Tomlinsond in DNNs is to design more complex architectures, the computation time in low-resource devices increases dramatically due to their low memory capabilities. Moreover, the physical memory used to store the network parameters augments with its complexity, hindering a feasible model to be deployed in t作者: Abduct 時(shí)間: 2025-3-22 07:15 作者: 暫時(shí)休息 時(shí)間: 2025-3-22 11:28
Ellen Ernst Kossek,Ariane Ollier-Malaterrea VR environment. To this end we introduce an image-based scanning approach with an initial focus on a monocular (handheld) capturing device such as a portable camera. Poses of the camera will be estimated with a Simultaneous Localisation and Mapping technique. Depending on the required quality offl作者: 出來(lái) 時(shí)間: 2025-3-22 16:05 作者: PRE 時(shí)間: 2025-3-22 18:00 作者: Enervate 時(shí)間: 2025-3-22 23:58
are now widely spread for such tasks and have reached higher detection accuracies than previously manually-designed approaches. Our paper reports how preprocessing and face image alignment influence accuracy scores when detecting face attributes. More importantly it demonstrates how the combination 作者: 供過(guò)于求 時(shí)間: 2025-3-23 01:59 作者: ostensible 時(shí)間: 2025-3-23 08:26 作者: 吹氣 時(shí)間: 2025-3-23 10:45 作者: 兇猛 時(shí)間: 2025-3-23 17:40 作者: 遺傳學(xué) 時(shí)間: 2025-3-23 18:51
https://doi.org/10.1007/978-3-319-94544-6artificial intelligence; biometrics; classification; computer vision; human computer interaction; image c作者: agenda 時(shí)間: 2025-3-24 01:19 作者: 能得到 時(shí)間: 2025-3-24 02:52
Articulated Motion and Deformable Objects978-3-319-94544-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 蔑視 時(shí)間: 2025-3-24 09:56
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/161986.jpg作者: 昆蟲(chóng) 時(shí)間: 2025-3-24 13:10
,Mammographic Mass Segmentation Using Fuzzy C–means and Decision Trees,y diversity and its low–contrast that doesn’t allow a good border definition and anomalies visualization. The aim of this research is the mass anomaly segmentation and classification. Two algorithms are presented: (i) an efficient mass segmentation approach based on a Fuzzy C–means modification usin作者: nepotism 時(shí)間: 2025-3-24 16:53
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimat simple but efficient Convolutional Neural Network that directly regresses the 3D pose estimation with a recurrent denoising autoencoder that provides pose refinement using the temporal information contained in the sequence of previous frames. Our architecture is also able to provide an integrated t作者: 一加就噴出 時(shí)間: 2025-3-24 19:14 作者: 發(fā)怨言 時(shí)間: 2025-3-24 23:22 作者: 落葉劑 時(shí)間: 2025-3-25 04:16 作者: nauseate 時(shí)間: 2025-3-25 09:23 作者: Ascribe 時(shí)間: 2025-3-25 15:40
Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Des. To facilitate research focusing on this problem, we have embarked on constructing a new person re-identification dataset with many instances of crowded indoor and outdoor scenes. This paper proposes a two-stage robust method for pedestrian detection in a complex crowded background to provide bou作者: FLOUR 時(shí)間: 2025-3-25 19:38 作者: 儲(chǔ)備 時(shí)間: 2025-3-25 21:30
Image Colorization Using Generative Adversarial Networks, of aged or degraded images. This problem is highly ill-posed due to the large degrees of freedom during the assignment of color information. Many of the recent developments in automatic colorization involve images that contain a common theme or require highly processed data such as semantic maps as作者: 烤架 時(shí)間: 2025-3-26 02:47 作者: floaters 時(shí)間: 2025-3-26 05:04 作者: 壓碎 時(shí)間: 2025-3-26 12:28
A Comparison of Text String Similarity Algorithms for POI Name Harmonisation,on is realised in the paper by using the five most effective algorithms which compare similarity of text strings. The main aim of this article is to identify the most appropriate algorithm for harmonizing different names of de facto identical points of interest within different geosocial networks. T作者: 前面 時(shí)間: 2025-3-26 14:32 作者: 凝乳 時(shí)間: 2025-3-26 19:14 作者: FLUSH 時(shí)間: 2025-3-26 23:32 作者: Introvert 時(shí)間: 2025-3-27 03:55
Ellen Ernst Kossek,Ariane Ollier-Malaterreested with 10 healthy subjects, who were asked to perform several tasks, reaching an average accuracy of .. Preliminary results show that users can successfully control the system, bridging the accessibility gap in smartphone applications.作者: Infelicity 時(shí)間: 2025-3-27 09:13 作者: tattle 時(shí)間: 2025-3-27 11:38 作者: Haphazard 時(shí)間: 2025-3-27 16:49
s do not include a data acquisition system. Hence, designing an app that allows both the patient and the specialist to gather the data statistically and graphically facilitates the prescription of medicine and making decisions regarding treatment.作者: 現(xiàn)任者 時(shí)間: 2025-3-27 20:08
,Mammographic Mass Segmentation Using Fuzzy C–means and Decision Trees, and homogeneity filters. Mammograms pre-processing importance and the fuzzy method’s effectiveness were shown by the experiments. In the classification step, we obtained 90% sensitivity and 72% specificity, while reducing false positives we reached 87% sensitivity and 88% specificity.作者: 疾馳 時(shí)間: 2025-3-27 22:10 作者: fastness 時(shí)間: 2025-3-28 05:12
Capturing Industrial Machinery into Virtual Reality,ed to interpolate between the triangulisation of the captured viewpoints to deliver a smooth VR experience. We believe our tool will facilitate the capturing of machinery into VR providing a wide range of benefits such as doing marketing, providing offsite help and performing remote maintenance.作者: 來(lái)自于 時(shí)間: 2025-3-28 07:46 作者: 漫步 時(shí)間: 2025-3-28 10:51
Optical Recognition of Numerical Characters in Digital Images of Glucometers,s do not include a data acquisition system. Hence, designing an app that allows both the patient and the specialist to gather the data statistically and graphically facilitates the prescription of medicine and making decisions regarding treatment.作者: 不可磨滅 時(shí)間: 2025-3-28 15:02 作者: occurrence 時(shí)間: 2025-3-28 21:00
Sweta Raian-Rankin,Mark Tomlinson used to enhance the training of the autoencoder. The system has been evaluated in two standard datasets, HumanEva-I and Human3.6M, comprising more than 15 different activities. We show that our simple architecture can provide state of the art results.作者: Duodenitis 時(shí)間: 2025-3-29 01:48 作者: forbid 時(shí)間: 2025-3-29 05:02 作者: vector 時(shí)間: 2025-3-29 08:34
elligent vehicles or deep learning, to date no survey on multimodal deep learning for advanced driving exists. This paper attempts to narrow this gap by providing the first review that analyzes existing literature and two indispensable elements: sensors and datasets. We also provide our insights on future challenges and work to be done.作者: FIS 時(shí)間: 2025-3-29 13:21
Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimat used to enhance the training of the autoencoder. The system has been evaluated in two standard datasets, HumanEva-I and Human3.6M, comprising more than 15 different activities. We show that our simple architecture can provide state of the art results.作者: acquisition 時(shí)間: 2025-3-29 19:20 作者: 狂熱文化 時(shí)間: 2025-3-29 23:14 作者: coagulate 時(shí)間: 2025-3-30 00:19 作者: 高歌 時(shí)間: 2025-3-30 07:32
