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Article
C5: toward better conversation comprehension and contextual continuity for ChatGPT
Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks. In complex application scenarios...
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Article
Qutaber: task-based exploratory data analysis with enriched context awareness
Exploratory data analysis (EDA) has emerged as a critical tool for users to gain deep insights into data and unearth hidden patterns. The integration of recommendation algorithms has enhanced its capabilities ...
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Article
Open AccessLearning Reliable Dense Pseudo-Labels for Point-Level Weakly-Supervised Action Localization
Point-level weakly-supervised temporal action localization aims to accurately recognize and localize action segments in untrimmed videos, using only point-level annotations during training. Current methods pri...
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Chapter and Conference Paper
HPAN: A Hybrid Pose Attention Network for Person Re-Identification
To address the difficulty in expressing the correlation between different local features extracted by the current person re-identification feature extraction methods, and the challenge of effectively integrati...
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Chapter and Conference Paper
Contextual Augmentation with Bias Adaptive for Few-Shot Video Object Segmentation
Few-shot video object segmentation (FSVOS) is a challenging task that aims to segment new object classes across query videos with limited annotated support images. Typically, meta learner is the main approach ...
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Chapter and Conference Paper
Dynamic-Static Graph Convolutional Network for Video-Based Facial Expression Recognition
Most of the current methods for video-based facial expression recognition (FER) in the wild are based on deep neural networks with attention mechanism to capture the relationships between frames. However, thes...
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Article
MLFFCSP: a new anti-occlusion pedestrian detection network with multi-level feature fusion for small targets
Pedestrian detection relying on deep convolution neural networks has achieved significant progress. However, the performance of current pedestrian detection algorithms remains unsatisfactory when it comes to s...
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Article
Towards better pattern enhancement in temporal evolving set visualization
Temporal evolving set data are time-varying and growing ubiquitous in person re-identification, parameter choice, and streaming data analysis. We construct a workflow to analyze and explore the inconspicuous p...
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Chapter and Conference Paper
Improving Learning Outcomes with Pair Teaching StrateFiggy in Higher Education: A Case Study in C Programming Language
Learning outcomes have attracted more and more attention in higher education. Many teaching and learning methods have been invented to improve learning outcomes. Teaching and learning pedagogies will attract i...
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Chapter and Conference Paper
Assessing Graduate Academic Scholarship Applications with a Rule-Based Cloud System
Academic scholarships motivate graduates to work hard. However, the tedious application process frustrates students and brings adverse effects. The paper presents a rule-based cloud computing system to assess ...
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Article
Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints
Trajectory planning for quadrotor has been extensively studied in terms of safety, smoothness, and dynamical feasibility. However, few methods have been proposed for the optimization of efficiency in long-dist...
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Article
SurVizor: visualizing and understanding the key content of surveillance videos
With the rapid development of society, video surveillance has progressively expanded into different areas of life, such as transportation, security inspection, banks. There are a large number of replaced and n...
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Chapter and Conference Paper
Improving Java Learning Outcome with Interactive Visual Tools in Higher Education
The object-oriented theory has been widely used in software design and development and Java programming language is a popular object-oriented programming language for computer science related majors in higher ...
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Article
A hybrid CNN and BLSTM network for human complex activity recognition with multi-feature fusion
A hybrid convolutional neural network (CNN) and bidirectional long short-term memory (BLSTM) network for human complex activity recognition with multi-feature fusion is proposed in this paper. Specifically, a ...
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Chapter and Conference Paper
Facial Expression Recognition by Expression-Specific Representation Swap**
In the field of facial expression recognition (FER), various FER systems have been explored to encode expression information from facial representations. Although significant progress has been made towards imp...
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Article
Visual interactive exploration and clustering of brain fiber tracts
Nuclear magnetic resonance images have been used for detecting the movement of water molecules in living organisms and moreover exploiting the neural fibers distribution, which is of great significance for the...
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Article
TZVis: visual analysis of bicycle data for traffic zone division
Traffic zone is a geographical unit which is proposed to reduce the complexity of traffic control and management systems in modern urban road networks. Traffic zone could be generated by different division app...
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Article
PermVizor: visual analysis of multivariate permutations
Permutation exists in various domains such as mathematics, combinatorics, and computer science. Enumerating each permutation, as well as the multivariate information among different items, allows us, for examp...
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Article
Adaptive Optimization \(l_1\) -Minimization Solvers on GPU
\(l_1\) l ...
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Chapter and Conference Paper
Fingerprint Pore Extraction Using U-Net Based Fully Convolutional Network
The public demand for personal safety is increasing rapidly. Fingerprint features as the most commonly used bio-signature need to improve their safety continuously. The third level features of fingerprint (esp...
