Zobrazeno 1 - 10
of 103 868
pro vyhledávání: '"Computer Vision and Pattern Recognition (cs.CV)"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2022
IEEE Transactions on Visualization and Computer Graphics (TVCG)
IEEE Transactions on Visualization and Computer Graphics, 2022
IEEE Transactions on Visualization and Computer Graphics (TVCG)
In this work, we present a novel method called WSDesc to learn 3D local descriptors in a weakly supervised manner for robust point cloud registration. Our work builds upon recent 3D CNN-based descriptor extractors, which leverage a voxel-based repres
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 29:1-6
Single-pixel imaging (SPI) is a novel optical imaging technique by replacing the pixelated sensor array in a conventional camera with a single-pixel detector. In previous works, SPI is usually used for capturing object images or performing image proc
Publikováno v:
Pattern Recognition
Pattern Recognition, 2023, 142, pp.109714. ⟨10.1016/j.patcog.2023.109714⟩
Pattern Recognition, 2023, 142, pp.109714. ⟨10.1016/j.patcog.2023.109714⟩
In this paper we propose a highly scalable convolutional neural network, end-to-end trainable, for real-time 3D human pose regression from still RGB images. We call this approach the Scalable Sequential Pyramid Networks (SSP-Net) as it is trained wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ede47b831eedfa86d56cc7363bd09f2d
https://hal.science/hal-04124371
https://hal.science/hal-04124371
Autor:
Zhang, Jinlai, Chen, Lyujie, Liu, Binbin, Ouyang, Bo, Xie, Qizhi, Zhu, Jihong, Li, Weiming, Meng, Yanmei
Publikováno v:
Information Sciences. 633:491-503
Recently, 3D deep learning models have been shown to be susceptible to adversarial attacks like their 2D counterparts. Most of the state-of-the-art (SOTA) 3D adversarial attacks perform perturbation to 3D point clouds. To reproduce these attacks in t
Autor:
Weng, Jingxi, Wildman-Tobriner, Benjamin, Buda, Mateusz, Yang, Jichen, Ho, Lisa M., Allen, Brian C., Ehieli, Wendy L., Miller, Chad M., Zhang, Jikai, Mazurowski, Maciej A.
Publikováno v:
Clinical Imaging. 99:60-66
Objectives: The purpose is to apply a previously validated deep learning algorithm to a new thyroid nodule ultrasound image dataset and compare its performances with radiologists. Methods: Prior study presented an algorithm which is able to detect th
Autor:
Hamza El-Kebir, Junren Ran, Yongseok Lee, Leonardo P. Chamorro, Martin Ostoja-Starzewski, Richard Berlin, Gabriela M. Aguiluz Cornejo, Enrico Benedetti, Pier C. Giulianotti, Joseph Bentsman
Publikováno v:
IEEE Transactions on Biomedical Engineering. 70:1849-1857
We present a novel thermodynamic parameter estimation framework for energy-based surgery on live tissue, with direct applications to tissue characterization during electrosurgery. This framework addresses the problem of estimating tissue-specific the
Autor:
Carlos Rodriguez-Pardo, Elena Garces
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:2914-2925
We present SeamlessGAN, a method capable of automatically generating tileable texture maps from a single input exemplar. In contrast to most existing methods, focused solely on solving the synthesis problem, our work tackles both problems, synthesis
Autor:
Fabian A. Braeu, Alexandre H. Thiéry, Tin A. Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J.A. Girard
Publikováno v:
American Journal of Ophthalmology. 250:38-48
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morphological changes during the development and progression of glaucoma. Optical coherence tomography (OCT) is the current gold standard to visualize and quantify these changes, howev
Publikováno v:
IEEE Transactions on Cybernetics. 53:3546-3560
Current fully-supervised facial landmark detection methods have progressed rapidly and achieved remarkable performance. However, they still suffer when coping with faces under large poses and heavy occlusions for inaccurate facial shape constraints a
Autor:
Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai, Yitian Zhao, Thapanun Sudhawiyangkul, Chantana Chantrapornchai, Cuntai Guan, Theerawit Wilaiprasitporn
Publikováno v:
Web of Science
While there have been increased researches using deep learning techniques for the extraction of vascular structure from the 2D en face OCTA, for such approach, it is known that the data annotation process on the curvilinear structure like the retinal