Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Zhiguo Cao"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:3103-3114
In object counting, objects often exhibit different sizes at different scales, even if they have similar physical sizes in reality. This is particularly true when targeting crowd counting and vehicle counting in intelligent transportation. Failing to
Publikováno v:
IEEE Transactions on Cybernetics. 52:1736-1749
Face verification can be regarded as a two-class fine-grained visual-recognition problem. Enhancing the feature's discriminative power is one of the key problems to improve its performance. Metric-learning technology is often applied to address this
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-15
Fast and accurate plant counting tools affect revolution in modern agriculture. Agricultural practitioners, however, expect the output of the tools to be not only accurate but also explainable. Such explainability often refers to the ability to infer
Multispectral Semantic Land Cover Segmentation From Aerial Imagery With Deep Encoder–Decoder Network
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 3, Iss 3, Pp 207-234 (2021)
The field of vision-based human hand three-dimensional (3D) shape and pose estimation has attracted significant attention recently owing to its key role in various applications, such as natural humancomputer interactions. With the availability of lar
Autor:
Wei Li, Yancheng Wang, Shusheng Li, Zhiguo Cao, Li Yan, Yang Xiao, Kent E. Pinkerton, Hai-Tao Zhang, Li Shuai, Ying Xiao, Hui Xu, Haosen Cao, Mingyang Zhang, Gary Wing-Kin Wong
Publikováno v:
IET Cyber-systems and Robotics, Vol 3, Iss 1, Pp 31-43 (2021)
IET Cyber-Systems and Robotics
IET Cyber-Systems and Robotics
The exponential spread of COVID‐19 worldwide is evident, with devastating outbreaks primarily in the United States, Spain, Italy, the United Kingdom, France, Germany, Turkey and Russia. As of 1 May 2020, a total of 3,308,386 confirmed cases have be
Publikováno v:
Information Sciences. 548:191-211
Effective texture categorization plays an important role in effective visual recognition. Despite noticeable progress in this area, blurred-texture recognition remains a challenge. As a key reason for this, existing well-established visual descriptor
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:3513-3527
In this paper, we introduce the idea of blockwise classification to count objects. The current mainstream method for counting objects is to regress the density map or to regress the redundant count map via a deep convolutional neural network (CNN). H
Publikováno v:
Information Fusion. 61:24-35
This paper presents a simple yet very effective data-driven approach to fuse both low-level and high-level local geometric features for 3D rigid data matching. It is a common practice to generate distinctive geometric descriptors by fusing low-level
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:2674-2682
Most existing algorithms for depth estimation from single monocular images need large quantities of metric groundtruth depths for supervised learning. We show that relative depth can be an informative cue for metric depth estimation and can be easily