会議情報

CRV 2018: Canadian Conference on Computer and Robot Vision

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提出日:
2018-02-09 Extended
通知日:
2018-03-11
会議日:
2018-05-09
場所:
Toronto, Ontario, Canada
年:
15
CORE: c   閲覧: 22385   追跡: 4   出席: 0

論文募集

CRV 2018 (Canadian Conference on Computer and Robot Vision) is a CORE C conference held in Toronto, Ontario, Canada on 2018-05-09. The paper submission deadline is 2018-02-09 (extended). Acceptance notifications are sent on 2018-03-11.

CRV 2018 invites original, high quality paper submissions on the following topics: 3-D Point Clouds, Depth Cameras Early Vision Object Recognition and Detection Action Selection Environment Modeling Pattern Recognition Active Sensing Faces, Gestures, Crowds Perceptual Organization Activity Recognition Features, Detection, Description, Matching Real-Time Sensing Attention Field Robotics Reinforcement Learning Biologically Motivated Computer Vision Grasping Remote Sensing Biometrics Human-Robot Interaction Representation Learning Calibration Illumination and Reflectance Modeling Segmentation Camera Networks Image Retrieval Sensor Fusion Classification Learning from Sensors Video Analytics Clustering Machine Learning for Perception Sensor-Based Navigation Computational Photography Mapping, SLAM Shape Representation Contours Medical Imaging Single-View 3-D Reconstruction Control Architectures Mosaicking Software Tools for Vision & Robotics Convolutional Networks Motion and Tracking Video Analytics Document Analysis Multi-Robot Systems Vision for Autonomous Vehicles Domain Adaptation, Transfer Learning Multi-View 3-D Reconstruction Visual Servoing
最終更新 Dou Sun

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関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
Robot LearningELSP2960-1436
Industrial Robot2.5Emerald0143-991X
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
bPattern Recognition7.6Elsevier0031-3203

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