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標(biāo)題: Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze [打印本頁(yè)]

作者: 可擴(kuò)大    時(shí)間: 2025-3-21 16:04
書目名稱Computer Vision – ECCV 2018 Workshops影響因子(影響力)




書目名稱Computer Vision – ECCV 2018 Workshops影響因子(影響力)學(xué)科排名




書目名稱Computer Vision – ECCV 2018 Workshops網(wǎng)絡(luò)公開(kāi)度




書目名稱Computer Vision – ECCV 2018 Workshops網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Computer Vision – ECCV 2018 Workshops被引頻次




書目名稱Computer Vision – ECCV 2018 Workshops被引頻次學(xué)科排名




書目名稱Computer Vision – ECCV 2018 Workshops年度引用




書目名稱Computer Vision – ECCV 2018 Workshops年度引用學(xué)科排名




書目名稱Computer Vision – ECCV 2018 Workshops讀者反饋




書目名稱Computer Vision – ECCV 2018 Workshops讀者反饋學(xué)科排名





作者: forthy    時(shí)間: 2025-3-21 21:16
Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data SetSMIL). We map real infant movements to the SMIL model with realistic shapes and textures, and generate RGB and depth images with precise ground truth 2D and 3D joint positions. We evaluate our data set with state-of-the-art methods for 2D pose estimation in RGB images and for 3D pose estimation in d
作者: 黃瓜    時(shí)間: 2025-3-22 02:58

作者: 向外才掩飾    時(shí)間: 2025-3-22 06:59

作者: resilience    時(shí)間: 2025-3-22 10:08

作者: 過(guò)度    時(shí)間: 2025-3-22 16:18

作者: 過(guò)度    時(shí)間: 2025-3-22 18:34
DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regressionclassification. We highlight how a model, that is separately trained to regress fingertip in conjunction with a classifier trained on limited classification data, would perform better over . models. We also propose a dataset of 10 egocentric pointing gestures designed for AR applications for testing
作者: GRAVE    時(shí)間: 2025-3-22 22:21

作者: Pseudoephedrine    時(shí)間: 2025-3-23 03:05

作者: Mri485    時(shí)間: 2025-3-23 07:08

作者: pantomime    時(shí)間: 2025-3-23 13:27
Dresden and Leipzig: Two Bourgeois Centres, the technical approach and implementation of this system are discussed, and the results of human subject tests with both BVI and ASD individuals are presented. In addition, we discuss and show the system’s user-centric interface and present points for future work and expansion.
作者: 鑲嵌細(xì)工    時(shí)間: 2025-3-23 14:21
https://doi.org/10.1007/978-3-319-01348-0ense Trajectories. We have adapted these methods from prominent action recognition methods and our promising results suggest that the methods generalize well to the context of facial dynamics. The Two-Stream ConvNets in combination with ResNet-152 obtains the best performance on our dataset, capturi
作者: single    時(shí)間: 2025-3-23 18:06

作者: Ceremony    時(shí)間: 2025-3-24 00:48

作者: Deadpan    時(shí)間: 2025-3-24 04:18
Cosmology and Particle Physics,classification. We highlight how a model, that is separately trained to regress fingertip in conjunction with a classifier trained on limited classification data, would perform better over . models. We also propose a dataset of 10 egocentric pointing gestures designed for AR applications for testing
作者: helper-T-cells    時(shí)間: 2025-3-24 09:23

作者: bacteria    時(shí)間: 2025-3-24 12:55
Vision Augmented Robot Feedings captured increases food acquisition efficiency. We also show how Discriminative Optimization (DO) can be used in tracking so that the food can be effectively brought all the way to the user’s mouth, rather than to a preprogrammed feeding location.
作者: enlist    時(shí)間: 2025-3-24 16:36
Deep Execution Monitor for Robot Assistive Tasksope with the natural non-determinism of the execution monitor. We show that a deep execution monitor leverages robot performance. We measure the improvement taking into account some robot helping tasks performed at a warehouse.
作者: 執(zhí)    時(shí)間: 2025-3-24 19:35

作者: CLAM    時(shí)間: 2025-3-25 00:40

作者: CUR    時(shí)間: 2025-3-25 04:11
Conference proceedings 2019he 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good?orchestration of new trends and traditional issues, built bridges into nei
作者: OTTER    時(shí)間: 2025-3-25 09:10

作者: Vldl379    時(shí)間: 2025-3-25 15:28
0302-9743 ls were selected for inclusion in the proceedings. The workshop topics present a good?orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and?novel applications..978-3-030-11023-9978-3-030-11024-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: packet    時(shí)間: 2025-3-25 18:18

作者: 輕浮思想    時(shí)間: 2025-3-25 23:28

作者: multiply    時(shí)間: 2025-3-26 03:37
Andrew Baxter: Critic of Berkeley,f stereoscopic displays, allows us to track the patients’ pose, and to analyze his/her movements and posture, when performing Activities of Daily Living, with the aim of having a further way to assess cognitive capabilities.
作者: –DOX    時(shí)間: 2025-3-26 05:49
https://doi.org/10.1007/978-94-011-9473-0ion, manipulation and navigation capabilities of the robot is provided. Robot’s autonomy is enabled through a specific decision making and task planning framework. The robot has been evaluated in ten real home environments of real MCI users exhibiting remarkable performance.
作者: CAB    時(shí)間: 2025-3-26 10:00
London: the Professionalization of Music,e patterns that the nets tend to learn, and several factors that can heavily influence the performances on fall recognition. We expect that our conclusions are favorable to proposing better deep learning solutions to fall detection systems.
作者: 不可救藥    時(shí)間: 2025-3-26 13:21

作者: LAPSE    時(shí)間: 2025-3-26 20:10
Human-Computer Interaction Approaches for the Assessment and the Practice of the Cognitive Capabilitf stereoscopic displays, allows us to track the patients’ pose, and to analyze his/her movements and posture, when performing Activities of Daily Living, with the aim of having a further way to assess cognitive capabilities.
作者: 悶熱    時(shí)間: 2025-3-27 00:16
RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete Frameworkion, manipulation and navigation capabilities of the robot is provided. Robot’s autonomy is enabled through a specific decision making and task planning framework. The robot has been evaluated in ten real home environments of real MCI users exhibiting remarkable performance.
作者: Bone-Scan    時(shí)間: 2025-3-27 03:28

作者: 委托    時(shí)間: 2025-3-27 06:53
Hand-Tremor Frequency Estimation in Videosremors on a new human tremor dataset, ., containing static tasks as well as a multitude of more dynamic tasks, involving larger motion of the hands. The dataset has 55 tremor patient recordings together with: associated ground truth accelerometer data from the most affected hand, RGB video data, and aligned depth data.
作者: Perceive    時(shí)間: 2025-3-27 11:30

作者: 生銹    時(shí)間: 2025-3-27 17:24
The Early Philosophy of Daya Krishnahnologies achieved in five main areas, namely, object classification and localization, scene understanding, human pose estimation and tracking, action/event recognition and anticipation. The paper is concluded with a discussion and insights for future directions.
作者: nonradioactive    時(shí)間: 2025-3-27 19:18
The Quantum Origin of the Universe, both aforementioned constraints. The proposed framework allows detection of multi-hand instances and localization of hand joints simultaneously. Our experiments show that our method is superior to existing methods.
作者: headlong    時(shí)間: 2025-3-27 22:30

作者: deactivate    時(shí)間: 2025-3-28 02:52
Estimating 2D Multi-hand Poses from Single Depth Images both aforementioned constraints. The proposed framework allows detection of multi-hand instances and localization of hand joints simultaneously. Our experiments show that our method is superior to existing methods.
作者: Synovial-Fluid    時(shí)間: 2025-3-28 07:20
Deep Learning for Assistive Computer Visionn of deep learning in computer vision has contributed to the development of assistive techinologies, then analyze the recent advances in assistive technologies achieved in five main areas, namely, object classification and localization, scene understanding, human pose estimation and tracking, action
作者: 詞匯    時(shí)間: 2025-3-28 13:06
Recovering 6D Object Pose: A Review and Multi-modal Analysisclutter, texture, ., on the performances of the methods, which work in the context of RGB modality. Interpreting the depth data, the study in this paper presents thorough multi-modal analyses. It discusses the above-mentioned challenges for full 6D object pose estimation in RGB-D images comparing th
作者: 范例    時(shí)間: 2025-3-28 17:09

作者: interlude    時(shí)間: 2025-3-28 22:26

作者: 命令變成大炮    時(shí)間: 2025-3-28 23:41

作者: choroid    時(shí)間: 2025-3-29 05:27

作者: angina-pectoris    時(shí)間: 2025-3-29 09:26
RAMCIP Robot: A Personal Robotic Assistant; Demonstration of a Complete Frameworkion. Ageing is typically associated with physical and cognitive decline, altering the way an older person moves around the house, manipulates objects and senses the home environment. This paper aims to demonstrate the RAMCIP robot, which is a Robotic Assistant for patients with Mild Cognitive Impair
作者: Chivalrous    時(shí)間: 2025-3-29 12:03
An Empirical Study Towards Understanding How Deep Convolutional Nets Recognize Fallsts are widely used in human action analysis, based on which a number of fall detection methods have been proposed. Despite their highly effective performances, the behaviors of how the convolutional nets recognize falls are still not clear. In this paper, instead of proposing a novel approach, we pe
作者: 植物群    時(shí)間: 2025-3-29 16:21

作者: seduce    時(shí)間: 2025-3-29 20:53

作者: MUT    時(shí)間: 2025-3-30 01:12

作者: LEER    時(shí)間: 2025-3-30 05:23

作者: 泰然自若    時(shí)間: 2025-3-30 08:47
Inferring Human Knowledgeability from Eye Gaze in Mobile Learning Environmentsks between eye gaze and cognitive states to investigate whether eye gaze reveal information about an individual’s knowledgeability. We focus on a mobile learning scenario where a user and a virtual agent play a quiz game using a hand-held mobile device. To the best of our knowledge, this is the firs
作者: 無(wú)能力    時(shí)間: 2025-3-30 14:02

作者: 含鐵    時(shí)間: 2025-3-30 17:02
DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regressionlatform enabled smartphones are expensive and are equipped with powerful processors and sensors such as multiple cameras, depth and IR sensors to process hand gestures. To enable mass market reach via inexpensive Augmented Reality (AR) headsets without built-in depth or IR sensors, we propose a real
作者: 厚顏無(wú)恥    時(shí)間: 2025-3-30 20:47

作者: choleretic    時(shí)間: 2025-3-31 04:50
Estimating 2D Multi-hand Poses from Single Depth Imagese estimation algorithms are either subject to strong assumptions or depend on a weak detector to detect the human hand. We utilize Mask R-CNN to avoid both aforementioned constraints. The proposed framework allows detection of multi-hand instances and localization of hand joints simultaneously. Our
作者: aggressor    時(shí)間: 2025-3-31 08:30

作者: Androgen    時(shí)間: 2025-3-31 11:12

作者: Repetitions    時(shí)間: 2025-3-31 14:25
Introduction: Walking into the Future,wing early intervention for affected infants. An automated motion analysis system requires to accurately capture body movements, ideally without markers or attached sensors to not affect the movements of infants. A vast majority of recent approaches for human pose estimation focuses on adults, leadi
作者: 處理    時(shí)間: 2025-3-31 20:38

作者: cathartic    時(shí)間: 2025-4-1 00:34
Andrew Baxter: Critic of Berkeley,cognitive abilities of the subject. Here, we analyze two solutions based on interaction in virtual environments. In particular, we consider a non-immersive exergame based on a standard tablet, and an immersive VR environment based on a head-mounted display. We show the potential use of such tools, b
作者: airborne    時(shí)間: 2025-4-1 03:33

作者: 無(wú)王時(shí)期,    時(shí)間: 2025-4-1 07:28

作者: surmount    時(shí)間: 2025-4-1 10:19
London: the Professionalization of Music,ts are widely used in human action analysis, based on which a number of fall detection methods have been proposed. Despite their highly effective performances, the behaviors of how the convolutional nets recognize falls are still not clear. In this paper, instead of proposing a novel approach, we pe
作者: Ardent    時(shí)間: 2025-4-1 16:14





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