Zobrazeno 1 - 10
of 485
pro vyhledávání: '"King Ngi Ngan"'
Autor:
Lanxiao Wang, Wenzhe Hu, Heqian Qiu, Chao Shang, Taijin Zhao, Benliu Qiu, King Ngi Ngan, Hongliang Li
Publikováno v:
CAAI Artificial Intelligence Research, Vol 1, Iss 2, Pp 111-136 (2022)
With the significant breakthrough in the research of single-modal related deep learning tasks, more and more works begin to focus on multi-modal tasks. Multi-modal tasks usually involve more than one different modalities, and a modality represents a
Externí odkaz:
https://doaj.org/article/b0ecb4ac3c6e4398ba6fc68ce920fdcd
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/a2ee3f7b2160446aa5fa6c935c4b84b1
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4887 (2023)
Object detection based on RGB and infrared images has emerged as a crucial research area in computer vision, and the synergy of RGB-Infrared ensures the robustness of object-detection algorithms under varying lighting conditions. However, the RGB-IR
Externí odkaz:
https://doaj.org/article/4c20c7b0ba1340868f1fbf25143a2bba
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7588 (2022)
To answer questions, visual question answering systems (VQA) rely on language bias but ignore the information of the images, which has negative information on its generalization. The mainstream debiased methods focus on removing language prior to inf
Externí odkaz:
https://doaj.org/article/7d072e3299544b108a4686deb5bf5f93
Autor:
Hao Luo, Qingbo Wu, King Ngi Ngan, Hanxiao Luo, Haoran Wei, Hongliang Li, Fanman Meng, Linfeng Xu
Publikováno v:
Sensors, Vol 20, Iss 23, p 6733 (2020)
Removing raindrops from a single image is a challenging problem due to the complex changes in shape, scale, and transparency among raindrops. Previous explorations have mainly been limited in two ways. First, publicly available raindrop image dataset
Externí odkaz:
https://doaj.org/article/5cfcc337d3964f4ca47629328e0182dc
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1594 (2019)
Object detection is a significant and challenging problem in the study area of remote sensing and image analysis. However, most existing methods are easy to miss or incorrectly locate objects due to the various sizes and aspect ratios of objects. In
Externí odkaz:
https://doaj.org/article/ef225db495e449708f6de2088548058f
Autor:
Haoyang Cheng, Hongliang Li, Heqian Qiu, Qingbo Wu, Xiaoliang Zhang, Fanman Meng, King Ngi Ngan
Publikováno v:
IEEE Transactions on Image Processing. 32:1613-1626
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de335aeaa86cf5a8b068816d589ea913
https://doi.org/10.1109/tip.2023.3246801
https://doi.org/10.1109/tip.2023.3246801
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:213-227
Deep learning methods have achieved significant progress in the presence of correctly annotated datasets in instance segmentation. However, object classes in large-scale datasets are sometimes ambiguous, which easily causes confusion. Besides, limite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f767aa12a2b8fc2761678915e8ce5d0
https://doi.org/10.1109/tcsvt.2021.3109084
https://doi.org/10.1109/tcsvt.2021.3109084
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-19
Objective object segmentation visual quality evaluation is an emergent member of the visual quality assessment family. It aims to develop an objective measure instead of a subjective survey to evaluate the object segmentation quality in agreement wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59315d4bb523c3fc1fdac66b9df5df5d
https://doi.org/10.1145/3491229
https://doi.org/10.1145/3491229
Publikováno v:
Neurocomputing. 472:124-137
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70312f81b8b0ec6c91b43541901ebeaf
https://doi.org/10.1016/j.neucom.2021.11.104
https://doi.org/10.1016/j.neucom.2021.11.104