19 Result(s)
within
Article
**-Peng Li
Computer Science
Artificial Intelligence
Image Processing and Computer Vision
-
Article
Dynamic context-driven progressive image inpainting with auxiliary generative units
Image inpainting aims to restore missing or damaged regions of an image with plausible visual content. Most existing methods always face challenges when dealing with large hole images, such as structural disto...
-
Article
Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features
In the field of facial expression recognition (FER), two main trends point to the data-driven FER and feature-driven FER exist. The former focused on the data problems (e.g., sample imbalance and multimodal fu...
-
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
V \(^2\) MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition
Fine-grained 3D shape recognition (FGSR) is crucial for real-world applications. Existing methods face challenges in achieving high accuracy for FGSR due to high similarity within sub-categories and low dissim...
-
Article
MapReduce-based distributed tensor clustering algorithm
Cluster analysis is one of the most fundamental methods in data mining, and it has been widely used in economics, social sciences and computer science. However, with the rapid development of Internet technolog...
-
Article
Open AccessJNeRF: An efficient heterogeneous NeRF model zoo based on Jittor
-
Article
TRCA-Net: stronger U structured network for human image segmentation
Human image segmentation has been a practical and active research topic due to its wide range of potential application. There are some previous studies on manual, semi-automatic and automatic segmentation meth...
-
Article
C3N: content-constrained convolutional network for mural image completion
Ancient murals, suffering from severe diseases, usually exhibit the absence or distortion of local areas. The damaged murals severely impaired people’s visual appreciation and satisfaction in the digital conse...
-
Article
HF-SRGR: a new hybrid feature-driven social relation graph reasoning model
Social relations and interactions between persons form the foundation of human society. Effective recognition of social relationships has great potential for understanding and improving people’s psychology and...
-
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
Open AccessAn evolving ensemble model of multi-stream convolutional neural networks for human action recognition in still images
Still image human action recognition (HAR) is a challenging problem owing to limited sources of information and large intra-class and small inter-class variations which requires highly discriminative features....
-
Article
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification
In this paper, a hierarchical learning algorithm based on the Bayesian Neural Network classifier with backtracking is proposed to support large-scale image classification, where a Visual Confusion Label Tree i...
-
Article
Prescribed-time convergent and noise-tolerant Z-type neural dynamics for calculating time-dependent quadratic programming
Neural-dynamics methods for solving quadratic programming (QP) have been studied for decades. The main feature of a neural-dynamics solver is that it can generate a continuous path from the initial point, and ...
-
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
Open AccessA survey on deep geometry learning: From a representation perspective
Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques f...
-
Article
Research on radar signal recognition based on automatic machine learning
With the advancement of machine learning and radar technology, machine learning is becoming more and more widely used in the field of radar. Radar scanning, signal acquisition and processing, one-dimensional r...
-
Article
Facial age estimation by using stacked feature composition and selection
In this paper we propose a novel hierarchical feature composition and selection model used in facial age estimation. In recent years, hierarchical architectures have been shown to outperform the flat structure...
-
Article
A novel hybridization of echo state networks and multiplicative seasonal ARIMA model for mobile communication traffic series forecasting
For mobile communication traffic series, an accurate multistep prediction result plays an important role in network management, capacity planning, traffic congestion control, channel equalization, etc. A novel...
-
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...
