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6th ICMVA 2023: Singapore
- Proceedings of the 2023 6th International Conference on Machine Vision and Applications, ICMVA 2023, Singapore, Singapore, March 10-12, 2023. ACM 2023, ISBN 978-1-4503-9953-1
- Joan Orti
, Francesc Moreno-Noguer, Vicenç Puig
On-Demand Multiclass Imaging for Sample Scarcity in Industrial Environments. - Duleep Rathgamage Don
A Multistage Framework for Detection of Very Small Objects. - Andreas Hubert
Exploiting Self-Imposed Constraints on RGB and LiDAR for Unsupervised Training. - Paul Samuel Ignacio
Detection of Fibrillatory Episodes in Atrial Fibrillation Rhythms via Topology-informed Machine Learning. - Zhiyuan Ma
Multi-Scale Feature Enhancement Network for Face Forgery Detection. - Hengyu Jiang
Feature Consistent Point Cloud Registration in Building Information Modeling. - Qi Sun, Nanxi Chen
SkeletonGAN: Fine-Grained Pose Synthesis of Human-Object Interactions. - Shuvo Kumar Paul
Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborative Environment. - Jianlin Nie, Steen G. Hanson, Mitsuo Takeda, Wei Wang
Recovering Image Information from Speckle Noise by Image Processing. - Adriel Isaiah Valeroso Amoguis
Road Lane Segmentation Using Vehicle Trajectory Tracking and Lane Demarcation Lines. - Stephan Reichelt
Digital Holography vs. Display Holography - What are their differences and what do they have in common? - Clement Mailhe
On the use of synthetic images in deep learning for defect recognition in industrial infrastructures. - Panumate Chetprayoon, Theerat Sakdejayont
Object-Based Vehicle Color Recognition in Uncontrolled Environment. - Phornvipa Werukanjana, Prush Sa-nga-ngam, Norapattra Permpool:
Comparison of Face Recognition on RGB and Grayscale Color with Deep Learning in Forensic Science. - Xiaoyu Han
Automatically Design Lightweight Neural Architectures for Facial Expression Recognition. - Kruthika Suresh
Detection of Conversational Health in a Multimodal Conversation Graph by Measuring Emotional Concordance. - Takorn Prexawanprasut
Employing Machine Learning and an OCR Validation Technique to Identify Product Category Based on Visible Packaging Features. - Bin Yi
Process Quality Prediction Algorithm of Multi output Workshop Based on ATT-CNN-TCN. - Bin Yi
Quality metrics prediction in process manufacturing based on CNN-LSTM transfer learning algorithm. - Ruihong Jia
Research on Compact Quantum Classifier Based on Kernel Method. - Tasnim Ahmed
Structure-Enhanced Translation from PET to CT Modality with Paired GANs. - Ruijie Ren
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision. - Masaki Aono
Predicting Stenosis in Coronary Arteries based on Deep Neural Network using Non-Contrast and Contrast Cardiac CT images. - Jihee Kim, Sangki Park, Si-Dong Roh
An Efficient Noisy Label Learning Method with Semi-supervised Learning: An Efficient Noisy Label Learning Method with Semi-supervised Learning. - Csaba Beleznai
Vision-based mobile analysis of roadside guardrail structures. - Maghsood Salimi
SARAF: Searching for Adversarial Robust Activation Functions. - Bin Yi
Multi-temporal process quality prediction based on graph neural network. - Kejia Wang
Discrete Radial-Harmonic-Fourier Moments for Image Description.
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