Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Xu, Yan"'
Publikováno v:
2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA).
Vehicle detection plays a vital role in vehicle assisted driving. Aiming at the low accuracy and missed detection problems of SSD algorithm for vehicle detection, an improved SSD algorithm is proposed. In order to extract more vehicle feature informa
Publikováno v:
ISBI
Kidney tumor segmentation from CT-volumes is essential for lesion diagnosis. Considering excessive GPU memory requirements for 3D medical images, slices and patches are exploited for training and inference in conventional U-Net variant architectures'
Autor:
Aoshuang Dong, Xu Yan
Publikováno v:
2019 2nd International Conference on Information Systems and Computer Aided Education (ICISCAE).
Face detection is an active research area in the field of computer vision. It can be applied to various applications as the basis of specific fields such as face recognition and human-computer interaction. For a long time, the complex external enviro
Autor:
Darren Yu Yang, Jay Xiong, John Raiti, Huaqiang Wu, Yuntao Wang, Zhenyu Zhong, Xincheng Li, Xu Yan
Publikováno v:
UEMCON
Deep learning based object detection algorithms like R-CNN, SSD, YOLO have been applied to many scenarios, including video surveillance, autonomous vehicle, intelligent robotics et al. With more and more application and autonomy left to deep learning
Publikováno v:
ICARM
In this work, we propose an infrared visual inertial odometry (VIO) algorithm for unmanned aerial vehicles (UAV) for both daytime and nighttime. It utilizes images from a single downward-looking thermal camera, and uses a laser scanner to measure rel
Publikováno v:
ICCA
In this paper, a multi-plane infrared visual odometry (VO) algorithm is proposed for the navigation system of unmanned aerial vehicles (UAV) flying at a medium height for both day and night. It uses a monocular downward-looking and stabilized thermal
Publikováno v:
ROBIO
We propose to synergize the motion and appearance information within a block-sparse robust principal component analysis (RPCA) framework for the estimation and analysis of traffic flow. The images are captured by a UAV with a downward looking camera,
Publikováno v:
CISP-BMEI
Intensity inhomogeneity (IIH) in magnetic resonance imaging (MRI) adversely affects image processing and image analysis. In this paper, we propose a novel surface fitting approach for intensity nonuniformity correction in MR images. In our method, pa
Autor:
Xu Yan
Publikováno v:
2016 IEEE International Conference on Signal and Image Processing (ICSIP).
In order to further improve the recognition rate and computing efficiency of modular 2DPCA in face recognition, an improved modular 2DPCA method based on image segmentation is proposed. Firstly, segmentation of threshold value optimization is utilize
Autor:
Xu Yan
Publikováno v:
2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference.
To overcome the limitation of traditional face recognition methods for single sample face recognition, a single sample face recognition algorithm based on sample augments and MSD fusion is proposed in this paper. First, according to the facial symmet