16 Result(s)
within
Article
**-Peng Li
Pattern Recognition
-
Article
An effective two-stage training scheme for boundary decision of imbalanced samples
How to categorize imbalanced data is an active research direction in data mining and machine learning research areas. In order to dynamically reduce the negative influence of imbalanced samples on the loss in ...
-
Article
Single image super-resolution via global aware external attention and multi-scale residual channel attention network
Recently, deep convolutional neural networks (CNNs) have shown significant advantages in improving the performance of single image super-resolution (SISR). To build an efficient network, multi-scale convolutio...
-
Article
Redis-based full-text search extensions for relational databases
In order to overcome the inefficiency and resource consumption of full-text search in relational databases, a light full-text search model with auxiliary cache is developed. Specially, we utilize the MySQL as ...
-
Article
Keyframe-based RGB-D dense visual SLAM fused semantic cues in dynamic scenes
The robustness of dense visual SLAM is still a challenging problem in dynamic environments. In this paper, we propose a novel keyframe-based dense visual SLAM to handle a highly dynamic environment by using an...
-
Article
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Large-scale contrastive vision-language pretraining has shown significant progress in visual representation learning. Unlike traditional visual systems trained by a fixed set of discrete labels, a new paradigm...
-
Article
Crowded pose-guided multi-task learning for instance-level human parsing
Instance-level human parsing remains challenging due to the similarity between human instances and background, complex interactions, and various poses. Aiming at assigning each human-related pixel a semantic l...
-
Article
Visible-infrared person re-identification model based on feature consistency and modal indistinguishability
Visible-infrared person re-identification (VI-ReID) is used to search person images across cameras under different modalities, which can address the limitation of visible-based ReID in dark environments. Intra...
-
Article
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, and many efforts have been made on it with impressive results. In this paper, we intend to search an optimal network structure that can run...
-
Article
Embedded real-time infrared and visible image fusion for UAV surveillance
Infrared and visible image fusion is a beneficial processing task for Unmanned Aerial Vehicle (UAV) surveillance, which can improve visibility by combining the advantages of the infrared camera and the visible...
-
Article
A dedicated hardware accelerator for real-time acceleration of YOLOv2
In recent years, dedicated hardware accelerators for the acceleration of the convolutional neural network (CNN) have been extensively studied. Although many studies have presented efficient designs on FPGAs fo...
-
Article
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements for computational resources in the field of real-time semantic segmentation, most approaches focus on the hand-crafted design of light-weight segmentation networks. To enj...
-
Article
A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images
This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical im...
-
Article
Open AccessDesign and analysis of an effective graphics collaborative editing system
With the rapid development of computer-supported cooperative work (CSCW) technology, graphical collaborative editing plays an increasingly important role in CSCW. The most important technique in graphics co-ed...
-
Article
Accelerated image factorization based on improved NMF algorithm
Non-negative matrix factorization (NMF) is widely used in feature extraction and dimension reduction fields. Essentially, it is an optimization problem to determine two non-negative low rank matrices ...
-
Article
Detail-generating geometry completion for point-sampled geometry
In this paper, we present a novel method for detail-generating geometry completion over point-sampled geometry. The main idea consists of converting the context-based geometry completion into the detail-based ...
-
Article
Open Access3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
A major challenge in applying Bayesian tracking methods for tracking 3D human body pose is the high dimensionality of the pose state space. It has been observed that the 3D human body pose parameters typically...
