7 citations · 11 across the 6 of their papers we have counts for
6 papers
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Jialu Zhang, Xiaoying Yang, Wentao He +6
Object detection in aerial imagery presents a significant challenge due to large scale variations among objects. This paper proposes an evolutionary reinforcement learning agent, i…
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Wentao He, Yuchen Yan, Jianfeng Ren +2
Deep neural networks have been applied to audio spectrograms for respiratory sound classification. Existing models often treat the spectrogram as a synthetic image while overlookin…
Attention-based Dual-stream Vision Transformer for Radar Gait Recognition
Shiliang Chen, Wentao He, Jianfeng Ren +1
Radar gait recognition is robust to light variations and less infringement on privacy. Previous studies often utilize either spectrograms or cadence velocity diagrams. While the fo…
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Wentao He, Jianfeng Ren, Ruibin Bai +1
Raven's Progressive Matrices (RPMs) are frequently used in evaluating human's visual reasoning ability. Researchers have made considerable efforts in developing systems to automati…
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Wentao He, Jianfeng Ren, Ruibin Bai
Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability. Recent advances of RPM-like datasets and solution models partially address the…
Analytics and Machine Learning in Vehicle Routing Research
Ruibin Bai, Xinan Chen, Zhi-Long Chen +13
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle…