Results 1 to 10 of about 36,523 (108)

Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion

Mathematics, 2022
Dense non-rigid structure from motion (NRSfM) has long been a challenge in computer vision because of the vast number of feature points. As neural networks develop rapidly, a novel solution is emerging.
Yaming Wang, Minjie Wang, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
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A Convolutional Neural Network for Nonrigid Structure from Motion

International Journal of Digital Multimedia Broadcasting, 2022
In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang, Xiangyang Peng, Wenqing Huang, Meiliang Wang   +3 more
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Two-Stage Fusion-Based Audiovisual Remote Sensing Scene Classification

Applied Sciences, 2023
Scene classification in remote sensing is a pivotal research area, traditionally relying on visual information from aerial images for labeling. The introduction of ground environment audio as a novel geospatial data source adds valuable information for ...
Yaming Wang, Yiyang Liu, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
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Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering

International Journal of Digital Multimedia Broadcasting, 2021
Sparse subspace clustering (SSC) is one of the latest methods of dividing data points into subspace joints, which has a strong theoretical guarantee. However, affine matrix learning is not very effective for segmenting multibody nonrigid structure from ...
Wenqing Huang, Qingfeng Hu, Yaming Wang, Mingfeng Jiang   +3 more
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A deep action-oriented video image classification system for text detection and recognition

SN Applied Sciences, 2021
For the video images with complex actions, achieving accurate text detection and recognition results is very challenging. This paper presents a hybrid model for classification of action-oriented video images which reduces the complexity of the problem to
Abhra Chaudhuri, Palaiahnakote Shivakumara, Pinaki Nath Chowdhury, Umapada Pal, Tong Lu, Daniel Lopresti, G. Hemantha Kumar   +6 more
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Self‐supervised non‐rigid structure from motion with improved training of Wasserstein GANs

IET Computer Vision, 2023
This study proposes a self‐supervised method to reconstruct 3D limbic structures from 2D landmarks extracted from a single view. The loss of self‐consistency can be reduced by performing a random orthogonal projection of the reconstructed 3D structure ...
Yaming Wang, Xiangyang Peng, Wenqing Huang, Xiaoping Ye, Mingfeng Jiang   +4 more
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U-Net Based Road Area Guidance for Crosswalks Detection from Remote Sensing Images

Canadian Journal of Remote Sensing, 2021
Due to the wide distribution of crosswalks over the road nets, the finding of impaired crosswalk marks is usually long-time delayed, which may put crosswalk pedestrians into danger.
Ziyi Chen, Ruixiang Luo, Jonathan Li, Jixiang Du, Cheng Wang   +4 more
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Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks

Frontiers in Marine Science, 2022
Plankton communities form the basis of aquatic ecosystems and elucidating their role in increasingly important environmental issues is a persistent research question.
Kaisa Kraft, Otso Velhonoja, Tuomas Eerola, Sanna Suikkanen, Timo Tamminen, Lumi Haraguchi, Pasi Ylöstalo, Sami Kielosto, Milla Johansson, Lasse Lensu, Heikki Kälviäinen, Heikki Haario, Jukka Seppälä   +12 more
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Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

Canadian Journal of Remote Sensing, 2021
Combining Dirichlet Mixture Models (DMM) with deep learning models for road extraction is an attractive study topic. Benefiting from DMM, the manually labeling work is alleviated.
Ziyi Chen, Cheng Wang, Jonathan Li, Bineng Zhong, Jixiang Du, Wentao Fan   +5 more
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Survey on Action Quality Assessment Methods in Video Understanding [PDF]

Jisuanji kexue, 2022
Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer ...
ZHANG Hong-bo, DONG Li-jia, PAN Yu-biao, HSIAO Tsung-chih, ZHANG Hui-zhen, DU Ji-xiang
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