Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhanning Gao"'
Autor:
Wen Gao, Zhanning Gao, Pan Wang, Lingbo Yang, Xiansheng Hua, Peiran Ren, Siwei Ma, Xinfeng Zhang, Shanshe Wang, Chang Liu
Publikováno v:
IEEE Transactions on Image Processing. 30:2422-2435
Human pose transfer (HPT) is an emerging research topic with huge potential in fashion design, media production, online advertising and virtual reality. For these applications, the visual realism of fine-grained appearance details is crucial for prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84bdc74d114fd4d12177209fe53bdedc
https://doi.org/10.1109/tip.2021.3052364
https://doi.org/10.1109/tip.2021.3052364
Publikováno v:
IEEE Transactions on Image Processing. 29:1061-1073
Recurrent neural networks (RNNs) are capable of modeling temporal dependencies of complex sequential data. In general, current available structures of RNNs tend to concentrate on controlling the contributions of current and previous information. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f08978c6feddadb3e1e734232aa7c53e
https://doi.org/10.1109/tip.2019.2937724
https://doi.org/10.1109/tip.2019.2937724
Publikováno v:
ACM Multimedia
Fashion video synthesis has attracted increasing attention due to its huge potential in immersive media, virtual reality and online retail applications, yet traditional 3D graphic pipelines often require extensive manual labor on data capture and mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2de562052035306cb876ac45849324ef
https://doi.org/10.1145/3474085.3475411
https://doi.org/10.1145/3474085.3475411
Autor:
Ian Dixon, Zhanning Gao, Zhiqi Shen, Chunyan Miao, Peiran Ren, Pan Wang, Han Yu, Xuansong Xie, Lizhen Cui, Chang Liu, Yingxue Yu
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aae759df67a4699514055b51fccaab0
https://doi.org/10.1109/icme51207.2021.9428292
https://doi.org/10.1109/icme51207.2021.9428292
Publikováno v:
AAAI
We propose a temporal action detection by spatial segmentation framework, which simultaneously categorize actions and temporally localize action instances in untrimmed videos. The core idea is the conversion of temporal detection task into a spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b5535ed97fcd494cec8684853f99b6
https://doi.org/10.1609/aaai.v33i01.33018328
https://doi.org/10.1609/aaai.v33i01.33018328
Autor:
Chunyan Miao, Zhanning Gao, Zhiqi Shen, Xuansong Xie, Lizhen Cui, Boyang Li, Peiran Ren, Han Yu, Chang Liu
Publikováno v:
CVPR
The existence of noisy labels in real-world data negatively impacts the performance of deep learning models. Although much research effort has been devoted to improving robustness to noisy labels in classification tasks, the problem of noisy labels i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a9541a501c23c527b7335c6553e7cf
http://arxiv.org/abs/2103.16047
http://arxiv.org/abs/2103.16047
A new unified video analytics framework (ER3) is proposed for complex event retrieval, recognition and recounting, based on the proposed video imprint representation, which exploits temporal correlations among image features across video frames. With
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e10ffdbb6cba781db425dfdbbbb3a6b3
Autor:
Lingbo Yang, Zhanning Gao, Siwei Ma, Wen Gao, Peiran Ren, Xuansong Xie, Shanshe Wang, Xinfeng Zhang, Pan Wang
Publikováno v:
ICME
The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strategy that propagates appearance features through the same pathway used f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c3bd0518984bd4106c1dc3124cf46d6
https://doi.org/10.1109/icme46284.2020.9102862
https://doi.org/10.1109/icme46284.2020.9102862
Autor:
Chunyan Miao, Lizhen Cui, Xuansong Xie, Ian Dixon, Peiran Ren, Han Yu, Chang Liu, Zhanning Gao, Zhiqi Shen, Pan Wang, Zhao Yong Lim
Publikováno v:
IJCAI
Scopus-Elsevier
Scopus-Elsevier
Video editing is currently a highly skill- and time-intensive process. One of the most important tasks in video editing is to compose the visual storyline. This paper outlines Visual Storyline Generator (VSG), an artificial intelligence (AI)-empowere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1383897227b025e7da36d95aab0358
https://doi.org/10.24963/ijcai.2020/765
https://doi.org/10.24963/ijcai.2020/765
Publikováno v:
MultiMedia Modeling ISBN: 9783030377304
MMM (1)
MMM (1)
We present an efficient approach for action co-localization in an untrimmed video by exploiting contextual and temporal feature from multiple action proposals. Most existing action localization methods focus on each individual action instances withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ba9ba8070660ff4796d0360a974c9f
https://doi.org/10.1007/978-3-030-37731-1_45
https://doi.org/10.1007/978-3-030-37731-1_45