Search Results - "Xiao, Jiangjian"
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1
Motion layer extraction in the presence of occlusion using graph cuts
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2005)“…Extracting layers from video is very important for video representation, analysis, compression, and synthesis. Assuming that a scene can be approximately…”
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2
Three-Dimensional Human Pose Estimation from Sparse IMUs through Temporal Encoder and Regression Decoder
Published in Sensors (Basel, Switzerland) (28-03-2023)“…Three-dimensional (3D) pose estimation has been widely used in many three-dimensional human motion analysis applications, where inertia-based path estimation…”
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3
Image Restoration Quality Assessment Based on Regional Differential Information Entropy
Published in Entropy (Basel, Switzerland) (10-01-2023)“…With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being…”
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4
Reconstructing Floorplans from Point Clouds Using GAN
Published in Journal of imaging (08-02-2023)“…This paper proposed a method for reconstructing floorplans from indoor point clouds. Unlike existing corner and line primitive detection algorithms, this…”
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5
Robust Trajectory Clustering for Motion Segmentation
Published in 2013 IEEE International Conference on Computer Vision (01-12-2013)“…Due to occlusions and objects' non-rigid deformation in the scene, the obtained motion trajectories from common trackers may contain a number of missing or…”
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6
Multi-Mode Multi-Feature Joint Intelligent Identification Methods for Nematodes
Published in Applied sciences (01-07-2023)“…The identification of plant nematodes is crucial in the fields of pest control, soil ecology, and biogeography. The automated recognition of plant nematodes…”
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7
Vehicle detection and tracking in wide field-of-view aerial video
Published in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (01-06-2010)“…This paper presents a joint probabilistic relation graph approach to simultaneously detect and track a large number of vehicles in low frame rate aerial…”
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Conference Proceeding -
8
Non-Rigid Structure-From-Motion on Degenerate Deformations With Low-Rank Shape Deformation Model
Published in IEEE transactions on multimedia (01-02-2015)“…Non-rigid structure-from-motion (NRSfM) is the process of recovering time-varying 3D structures and poses of a deformable object from an uncalibrated monocular…”
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9
A Real-Time Registration Algorithm of UAV Aerial Images Based on Feature Matching
Published in Journal of imaging (11-03-2023)“…This study aimed to achieve the accurate and real-time geographic positioning of UAV aerial image targets. We verified a method of registering UAV camera…”
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10
Buckle Pose Estimation Using a Generative Adversarial Network
Published in Applied sciences (01-03-2023)“…The buckle before the lens coating is still typically disassembled manually. The difference between the buckle and the background is small, while that between…”
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11
Data-Decoupled Scattering Imaging Method Based on Autocorrelation Enhancement
Published in Applied sciences (01-02-2023)“…Target recovery through scattering media is an important aspect of optical imaging. Although various algorithms combining deep-learning methods for target…”
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12
Reconstructing 3D human pose and shape from a single image and sparse IMUs
Published in PeerJ. Computer science (24-05-2023)“…Model-based 3D pose estimation has been widely used in many 3D human motion analysis applications, in which vision-based and inertial-based are two distinct…”
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13
Sleep Action Recognition Based on Segmentation Strategy
Published in Journal of imaging (01-03-2023)“…In order to solve the problem of long video dependence and the difficulty of fine-grained feature extraction in the video behavior recognition of personnel…”
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14
An Unknown Hidden Target Localization Method Based on Data Decoupling in Complex Scattering Media
Published in Photonics (01-12-2022)“…Due to the effect of the complex scattering medium, the photons carrying target information will be attenuated when passing through scattering media, and…”
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15
An Improved Neural Network Cascade for Face Detection in Large Scene Surveillance
Published in Applied sciences (01-11-2018)“…Face detection for security cameras monitoring large and crowded areas is very important for public safety. However, it is much more difficult than traditional…”
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16
Self-calibration from turn-table sequences in presence of zoom and focus
Published in Computer vision and image understanding (01-06-2006)“…This paper proposes a novel method, using constant inter-frame motion, for self-calibration from an image sequence of an object rotating around a single axis…”
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17
Geo-spatial aerial video processing for scene understanding and object tracking
Published in 2008 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2008)“…This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input…”
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Conference Proceeding -
18
A cascade framework for masked face detection
Published in 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) (01-11-2017)“…Accurately and efficiently detecting masked faces is increasingly meaningful, since it can be applied on tracking and identifying criminals or terrorists. As a…”
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Conference Proceeding -
19
IPAL: Infinite Planes as Lines for Consistent Mapping in Indoor Multifloor Environments
Published in IEEE transactions on instrumentation and measurement (2024)“…Indoor high-precision maps are harder to obtain. Numerous researchers considered the extendibility of indoor plane features to constrain the poses and improve…”
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20
FADOR: Fast and Accurate Dynamic Object Removal for Indoor Scenes
Published in IEEE transactions on instrumentation and measurement (2024)“…LiDAR point cloud is an important component of 3-D reconstruction, and high-precision 3-D point clouds provide accurate depth and scene structure. However,…”
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