Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chengbin Zeng"'
Publikováno v:
Symmetry, Vol 16, Iss 11, p 1414 (2024)
The Nonnegative Matrix Factorization (NMF) algorithm and its variants have gained widespread popularity across various domains, including neural networks, text clustering, image processing, and signal analysis. In the context of hyperspectral unmixin
Externí odkaz:
https://doaj.org/article/f0cb809a94674dfea48073887eaa8c27
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8488 (2022)
Scene text spotting has made tremendous progress with the in-depth research on deep convolutional neural networks (DCNN). Previous approaches mainly focus on the spotting of arbitrary-shaped scene text, on which it is difficult to achieve satisfactor
Externí odkaz:
https://doaj.org/article/88178286ad34408190580eafc481f8bf
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Autor:
Chengbin Zeng, Chunli Song
Publikováno v:
2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS).
Autor:
Chengbin Zeng
Publikováno v:
ICMLC
Natural human-computer interaction, as an active research topic in the area of computer vision, has widespread applications. In this paper, we propose a new method using forearm gesture as the input of the Tetris game via an ordinary camera. We first
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 3:1-22
Reliable and real-time people counting is crucial in many applications. Most previous works can only count moving people from a single camera, which cannot count still people or can fail badly when there is a crowd (i.e., heavy occlusion occurs). In
Autor:
Jiqian Liu, Chengbin Zeng
Publikováno v:
Advances in Neural Networks – ISNN 2015 ISBN: 9783319253923
ISNN
ISNN
Sparse representation in sensory cortex has been well verified and its capability of yielding response properties of single neurons is also demonstrated. In order to improve sparse representation to be more neurally plausible, we reconsider several r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea886eae4ffa3028e1b14ea0e75362cb
https://doi.org/10.1007/978-3-319-25393-0_50
https://doi.org/10.1007/978-3-319-25393-0_50
Publikováno v:
Intelligent Computing Theories and Methodologies ISBN: 9783319221793
ICIC (1)
ICIC (1)
This paper presents a neurally plausible algorithm for the representation of visual inputs by cortical neurons. It has been demonstrated in previous theoretical studies that the main goal of the encoding of the input from lateral geniculate nucleus (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c32e3ed054fec175af0fe4ce60d6d0a
https://doi.org/10.1007/978-3-319-22180-9_17
https://doi.org/10.1007/978-3-319-22180-9_17
Publikováno v:
Advances in Multimedia Information Processing – PCM 2012 ISBN: 9783642347771
PCM
PCM
With the large-scale internet video data explosion, the content-based copy detection (CCD) related application and research are significant and necessary. Beside the image-based CCD, the audio-based method has the advantage in its simpleness and effi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5966ccb5da246fb2bac051958350df83
https://doi.org/10.1007/978-3-642-34778-8_56
https://doi.org/10.1007/978-3-642-34778-8_56
Autor:
Huadong Ma, Chengbin Zeng
Publikováno v:
ICIP
Human detection has attracted much attention in recent years due to its widespread applications. Most existing multi-camera systems focus on locating moving people in each camera and thus resolve the occlusion, which cannot detect still people in ima