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Computer Vision and Pattern Recognition 2020 [PDF]
International Journal of Computer Vision, 2021 This special issue covers a wide range of topics from the area of Computer Vision, Pattern ...
Zeynep Akata +2 more
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Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction [PDF]
Italian National Conference on Sensors, 2022 Background: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilitation, and the training of patients with lower extremity motor dysfunction.
Biao Chen +10 more
openalex +2 more sources
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
, 2021 We describe a tracking algorithm to address the interactions among objects, and to track them individually and confidently via a static camera. It is achieved by constructing an invariant bipartite graph to model the dynamics of the tracking process, of ...
Hwann-Tzong Chen +2 more
semanticscholar +1 more source
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 +6 more
doaj +1 more source
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 +4 more
doaj +1 more source
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 +12 more
doaj +1 more source
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 +4 more
doaj +1 more source
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
doaj +1 more source
Deep Semantic Clustering by Partition Confidence Maximisation [PDF]
, 2020 By simultaneously learning visual features and data grouping, deep clustering has shown impressive ability to deal with unsupervised learning for structure analysis of high-dimensional visual data. Existing deep clustering methods typically rely on local
Gong, S +3 more
core +1 more source
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 +5 more
doaj +1 more source