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View article: TTSwing: a Dataset for Table Tennis Swing and Racket Kinematics Analysis
TTSwing: a Dataset for Table Tennis Swing and Racket Kinematics Analysis Open
We introduce TTSwing, a novel dataset designed to analyze table tennis swings. The dataset was collected using custom racket grips embedded with 9-axis motion sensors, which provide precise kinematic data on swings. In addition, we provide…
View article: Converting Transformers into DGNNs Form
Converting Transformers into DGNNs Form Open
Recent advances in deep learning have established Transformer architectures as the predominant modeling paradigm. Central to the success of Transformers is the self-attention mechanism, which scores the similarity between query and key mat…
View article: From ChebNet to ChebGibbsNet
From ChebNet to ChebGibbsNet Open
Recent advancements in Spectral Graph Convolutional Networks (SpecGCNs) have led to state-of-the-art performance in various graph representation learning tasks. To exploit the potential of SpecGCNs, we analyze corresponding graph filters v…
View article: CATARACT CLASSIFICATION USING MOBILENETV2-BASED MODEL
CATARACT CLASSIFICATION USING MOBILENETV2-BASED MODEL Open
Cataract occurs when the lens of the eyes, normally transparent, becomes cloudy. Clouded vision resulting from cataracts can posechallenges in activities such as reading, nighttime driving, and discerning facial expressions of acquaintance…
View article: Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset Open
In the dynamic and evolving field of computer vision, action recognition has become a key focus, especially with the advent of sophisticated methodologies like Convolutional Neural Networks (CNNs), Convolutional 3D, Transformer, and spatia…
View article: PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network
PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network Open
The traffic infrastructure of a city requires evaluation and improvement through a large amount of data analysis. The construction and laborious work of traditional methods make computer vision flourish in traffic analysis. Among different…
View article: QNet: A Quantum-native Sequence Encoder Architecture
QNet: A Quantum-native Sequence Encoder Architecture Open
This work proposes QNet, a novel sequence encoder model that entirely inferences on the quantum computer using a minimum number of qubits. Let $n$ and $d$ represent the length of the sequence and the embedding size, respectively. The dot-p…
View article: Multi-modal Transformer Path Prediction for Autonomous Vehicle
Multi-modal Transformer Path Prediction for Autonomous Vehicle Open
Reasoning about vehicle path prediction is an essential and challenging problem for the safe operation of autonomous driving systems. There exist many research works for path prediction. However, most of them do not use lane information an…
View article: RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques
RFID-Based Indoor Spatial Query Evaluation with Bayesian Filtering Techniques Open
People spend a significant amount of time in indoor spaces (e.g., office buildings, subway systems, etc.) in their daily lives. Therefore, it is important to develop efficient indoor spatial query algorithms for supporting various location…
View article: MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Open
Recent advancements in Graph Neural Networks have led to state-of-the-art performance on graph representation learning. However, the majority of existing works process directed graphs by symmetrization, which causes loss of directional inf…
View article: A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning
A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning Open
With the development and progress of science and technology, the learning patterns also evolve. In Question-Driven learning, students clarify and validate what they learn by answering questions. Such a large number of questions needs good …
View article: Data Verification in Integrated RFID Systems
Data Verification in Integrated RFID Systems Open
Radio frequency identification (RFID) is widely used as a tagging system to facilitate physical transactions in the real world. Thanks to the availability of inexpensive passive RF tags, RFID technology is now the catalyst of Internet of T…