64 Result(s)
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Chunyuan **
Computer Science
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Article
Guest Editorial: Special Issue on the Promises and Dangers of Large Vision Models
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Article
Research on taper thread’s compensation algorithm based on machine vision considering the inclined state effect and tooth profile distortion
Drill pipe joint’s thread quality directly affects the machining performance and the drill pipe’s service life. Machine vision can quickly detect thread parameters to determine the thread processing quality, b...
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Article
Open AccessRecursive least squares method for training and pruning convolutional neural networks
Convolutional neural networks (CNNs) have shown good performance in many practical applications. However, their high computational and storage requirements make them difficult to deploy on resource-constrained...
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Chapter and Conference Paper
The Application of Graphic Composition Design in Computer Vision Art Teaching
The application of plane composition design in computer visual art teaching can be divided into two aspects: the first is to help students learn how to use computers and software tools; The second is to teach ...
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Chapter and Conference Paper
Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction
Information diffusion prediction aims to estimate the probability of an inactive user to be activated next in an information diffusion cascade. Existing works predict future user activation either by capturing...
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Article
Recognition of psychological emotion by EEG features
With the rapid development of emotion recognition technology, how to realize the naturalization and intellectualization of human–computer interaction, so that the human emotional state can be effectively recog...
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Article
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmarks. To address this problem, w...
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Chapter and Conference Paper
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users’ Dynamic Preferences for Information Diffusion Prediction
Information diffusion prediction is a fundamental task for understanding the information propagation process. It has wide applications in such as misinformation spreading prediction and malicious account detec...
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Chapter and Conference Paper
Multi-scale Graph Convolutional Neural Network for Object Recognition from Point Cloud Data
How to make robots understand the point cloud data which is collected from the 3D sensor and complete the recognition has become a hot research direction in recent years. In this paper, we propose a new approa...
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Chapter and Conference Paper
Application of Computer “Virtual Reality” Technology in College Physical Training
With the continuous progress and development of the society, the computer technology continues to progress, one of the new technology has been widely used, is the computer “virtual reality” technology, it is a...
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Chapter and Conference Paper
Structure-Aware Human-Action Generation
Generating long-range skeleton-based human actions has been a challenging problem since small deviations of one frame can cause a malformed action sequence. Most existing methods borrow ideas from video genera...
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Chapter and Conference Paper
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatenate image region features and ...
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Chapter and Conference Paper
Study on Evaluation Method of Teaching Quality Based on Cloud Model and D-S Theory
The Evaluation of teaching quality is a complicated project. It’s a typical problem of uncertainty. A design scheme of teaching quality evaluation method based on cloud model and D-S theory is proposed with th...
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Chapter and Conference Paper
Fusion Convolutional Attention Network for Opinion Spam Detection
Opinion spam detection is a critical task in opinion mining. Current researches mainly focus on manually designing the text or discrete user features, or concatenating the review text and user features as the...
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Chapter and Conference Paper
Multiview CNN Model for Sensor Fusion Based Vehicle Detection
The self-diving vehicle is a critical revolution in the automobile industry, transportation and people’s daily life. Generally, self-driving vehicles utilize the LIDAR, IMU, radar along with traditional optica...
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Article
Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability
The newly proposed correlation filter based trackers can achieve appealing performance despite their great simplicity and superior speed. However, this kind of object trackers is not born with scale and aspect...
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Chapter and Conference Paper
Robust EMG Pattern Recognition with Electrode Donning/Doffing and Multiple Confounding Factors
Traditional electromyography (EMG) pattern recognition did not take into account confounding factors such as electrode shifting, force variation, limb posture, etc., which lead to a great gap between academic...
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Chapter and Conference Paper
Winograd Algorithm for 3D Convolution Neural Networks
Three-dimensional convolution neural networks (3D CNN) have achieved great success in many computer vision applications, such as video analysis, medical image classification, and human action recognition. Howe...
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Chapter and Conference Paper
Optimizing OpenCL Implementation of Deep Convolutional Neural Network on FPGA
Nowadays, the rapid growth of data across the Internet has provided sufficient labeled data to train deep structured artificial neural networks. While deeper structured networks bring about significant precisi...
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Chapter and Conference Paper
DCC: Distributed Cache Consistency
Replicating caches across distributed nodes to convert remote data transferred for local data reading, are widely used to reduce latency for applications and enhance storage availability in a distributed softw...
