Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Tianfei Zhou"'
Publikováno v:
Leida xuebao, Vol 13, Iss 1, Pp 87-96 (2024)
This paper proposes a novel multimodal collaborative perception framework to enhance the situational awareness of autonomous vehicles. First, a multimodal fusion baseline system is built that effectively integrates Light Detection and Ranging (LiDAR)
Externí odkaz:
https://doaj.org/article/9687e59d99d5426c93bddf9ca18e6aeb
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract When analyzing data from in situ RNA detection technologies, cell segmentation is an essential step in identifying cell boundaries, assigning RNA reads to cells, and studying the gene expression and morphological features of cells. We develo
Externí odkaz:
https://doaj.org/article/92e33beeab964fcd9a96437448ba8c77
Autor:
Tie Li, Tianfei Zhou
Publikováno v:
PLoS ONE, Vol 17, Iss 9 (2022)
Low contrast, poor color saturation, and turbidity are common phenomena of underwater sensing scene images obtained in highly turbid oceans. To address these problems, we propose an underwater image enhancement method by combining Retinex and transmi
Externí odkaz:
https://doaj.org/article/2810309eae4b4be4888f22afe199ce44
Publikováno v:
IEEE Transactions on Image Processing. 32:2678-2692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27a199753235e1bf30ab08f000c4a5ef
https://doi.org/10.1109/tip.2023.3272826
https://doi.org/10.1109/tip.2023.3272826
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:1111-1114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebea6f7dd263746774aeeb1ebf44bb99
https://doi.org/10.1109/jas.2022.105647
https://doi.org/10.1109/jas.2022.105647
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:2827-2840
This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images. Considering the intrinsic complexity and structural nature of the task, we introduce a cascaded parsing network (CP-HOI) for a multi-stage, structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080dc87a326bba98eacc7fe881c8cbae
https://doi.org/10.1109/tpami.2021.3049156
https://doi.org/10.1109/tpami.2021.3049156
Publikováno v:
IEEE Transactions on Multimedia. 24:1093-1104
Performances of deep neural networks are prone to be degraded by label noise due to their powerful capability in fitting training data. Deeming low-loss instances as clean data is one of the most promising strategies in tackling label noise and has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0459321c647c9eb4417c586bb898bfd
https://doi.org/10.1109/tmm.2021.3116430
https://doi.org/10.1109/tmm.2021.3116430
Publikováno v:
IEEE Transactions on Image Processing. 31:3111-3124
The success of current deep saliency models heavily depends on large amounts of annotated human fixation data to fit the highly non-linear mapping between the stimuli and visual saliency. Such fully supervised data-driven approaches are annotation-in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc7a0baa8cb29c0a0e7268d125e1feb
https://doi.org/10.1109/tip.2022.3158064
https://doi.org/10.1109/tip.2022.3158064
When analyzing data from in situ RNA detection technologies, cell segmentation is an essential step in identifying cell boundaries, assigning RNA reads to cells, and studying the gene expression and morphological features of cells. We developed a dee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a31ca4715c9dff4c35074efe7e78476e
https://doi.org/10.1101/2022.12.13.520283
https://doi.org/10.1101/2022.12.13.520283
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53c3f9488755c479377a0d3327fb59f9
https://doi.org/10.1145/3503161.3547919
https://doi.org/10.1145/3503161.3547919