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检索条件"机构=Inst.of Image Processing and Pattern Recognition"
84 条 记 录,以下是1-10 订阅
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Crowd Scene Analysis: Crowd Counting using MCNN based on Self-Supervised training with Attention Mechanism  25
Crowd Scene Analysis: Crowd Counting using MCNN based on Sel...
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25th International Multi Topic Conference, INMIC 2023
作者: Asif, Muhammad Junaid Asad, Mujtaba Imran, Shaheer University of Central Punjab Faculty of It & Cs Lahore Pakistan Inst. of Image Processing and Pattern Recognition Seiee Sjtu Shanghai China
Fully-supervised learning requires expensive and laborious annotations of labeled data for crowd-counting tasks. To alleviate this burden, it is desirable to explore methods that reduce the need for extensive labeling... 详细信息
来源: 评论
Crowd Scene Analysis: Crowd Counting using MCNN based on Self-Supervised training with Attention Mechanism
Crowd Scene Analysis: Crowd Counting using MCNN based on Sel...
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IEEE International Conference on Multi Topic
作者: Muhammad Junaid Asif Mujtaba Asad Shaheer Imran Faculty of IT & CS University of Central Punjab Lahore Pakistan SEIEE SJTU Inst. of Image Processing and Pattern Recognition Shanghai China
Fully-supervised learning requires expensive and laborious annotations of labeled data for crowd-counting tasks. To alleviate this burden, it is desirable to explore methods that reduce the need for extensive labeling...
来源: 评论
Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease Using MR images  26
Multiscale Deep Convolutional Networks for Characterization ...
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26th IEEE International Conference on image processing, ICIP 2019
作者: Ge, Chenjie Qu, Qixun Gu, Irene Yu-Hua Store Jakola, Asgeir Dept. of Electrical Engineering Chalmers University of Technology Sweden Inst. of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
This paper addresses the issues of Alzheimer's disease (AD) characterization and detection from Magnetic Resonance images (MRIs). Many existing AD detection methods use single-scale feature learning from brain sca... 详细信息
来源: 评论
Video-based tracking and quantified assessment of spontaneous limb movements in neonates
Video-based tracking and quantified assessment of spontaneou...
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International Conference on e-health Networking, Applications and Services (HealthCom)
作者: Long Xu Irene Yu-Hua Gu Anders Flisberg Magnus Thordstein Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Dept. of Signals and Systems Chalmers University of Technology Gotheburg Sweden Dept. of Pediatrics Sahlgrenska University Hospital Gothenburg Sweden Dept. of Clinical Neurophysiology Sahlgrenska University Hospital Gothenburg Sweden
Central nervous system dysfunction in infants may be manifested through inconsistent, rigid and abnormal limb movements. Detection and quantification of these movements in infants from videos are hence desirable for p... 详细信息
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Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines
Visual object tracking with online learning on Riemannian ma...
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作者: Yun, Yixiao Fu, Keren Gu, Irene Yu-Hua Yang, Jie Dept. of Signals and Systems Chalmers Univ. of Technology Gothenburg41296 Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong Univ. Shanghai200240 China
This paper addresses issues in video object tracking. We propose a novel method where tracking is regarded as a one-class classification problem of domain-shift objects. The proposed tracker is inspired by the fact th... 详细信息
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Human activity recognition in images using SVMs and geodesics on smooth manifolds  14
Human activity recognition in images using SVMs and geodesic...
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8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014
作者: Yun, Yixiao Fu, Keren Gu, Irene Yu-Hua Aghajan, Hamid Yang, Jie Dept. of Signals and Systems Chalmers University of Technology Sweden Inst. of Image Processing and Pattern Recognition Shanghai Jiao Tong University China IMinds Ghent University Belgium AIR Lab. Stanford University United States
This paper addresses the problem of human activity recognition in still images. We propose a novel method that focuses on human-object interaction for feature representation of activities on Riemannian manifolds, and ... 详细信息
来源: 评论
VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MANIFOLDS BY ONE-CLASS SUPPORT VECTOR MACHINES
VISUAL OBJECT TRACKING WITH ONLINE LEARNING ON RIEMANNIAN MA...
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IEEE International Conference on image processing
作者: Yixiao Yun Keren Fu Irene Yu-Hua Gu Jie Yang Dept. of Signals and Systems Chalmers Univ. of Technology Inst. of Image Processing & Pattern Recognition Shanghai Jiao Tong Univ.
This paper addresses issues in video object tracking. We propose a novel method where tracking is regarded as a one-class classification problem of domain-shift objects. The proposed tracker is inspired by the fact th... 详细信息
来源: 评论
3D deformable surfaces with locally self-adjusting parameters - A robust method to determine cell nucleus shapes
3D deformable surfaces with locally self-adjusting parameter...
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International Conference on pattern recognition
作者: Keuper, Margret Schmidt, Thorsten Padeken, Jan Heun, Patrick Palme, Klaus Burkhardt, Hans Ronneberger, Olaf Pattern Recognition and Image Processing Computer Science Department Freiburg University Germany Max-Planck Institute of Immunobiology Freiburg Germany University of Freiburg Germany Inst. of Biology II Freiburg Inst. for Advanced Studies - FRIAS University of Freiburg Germany
When using deformable models for the segmentation of biological data, the choice of the best weighting parameters for the internal and external forces is crucial. Especially when dealing with 3D fluorescence microscop... 详细信息
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Efficient artery segmentation based on improved nonlinear coherent diffusion speckle denoising in ultrasound heart images
Efficient artery segmentation based on improved nonlinear co...
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2009 International Conference on image processing, Computer Vision, and pattern recognition, IPCV 2009
作者: Gao, Yonghui Yang, Jie Guo, Lv Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
For ultrasound heart images artery segmentation, this paper introduces a novel method based on speckle denoising with nonlinear coherent diffusion. This method reduces the segmentation sensitivity to image noise and s... 详细信息
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A novel method for boundary condition computation in soft tissue deformation
A novel method for boundary condition computation in soft ti...
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2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
作者: Shengzheng, Wang Jie, Yang Kai, Xie Merchant Marine College Shanghai Maritime University 200135 Shanghai China Inst. of Image Processing and Pattern Recognition Shanghai Jiaotong University 200240 Shanghai China Methodist Hospital Research Institute Cornell University Houston TX 77030 United States
Simulating the soft tissue deformation based on bone-related planning is one of the most difficult issues in generating realistic motion of soft tissues. The difficulty of this problem arises from unclear boundary con... 详细信息
来源: 评论