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ORCID6th 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, Ramazan Aygun, Mahmut Karakaya:
A Multistage Framework for Detection of Very Small Objects. - Andreas Hubert, Janis Jung, Konrad Doll:
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, Xue Mei, Haoyang Chen, Jie Shen:
Multi-Scale Feature Enhancement Network for Face Forgery Detection. - Hengyu Jiang, Yazhou Liu, Georges Nader, Zheng Wu, Takrit Tanasnitikul, Pongsak Lasang:
Feature Consistent Point Cloud Registration in Building Information Modeling. - Qi Sun, Nanxi Chen, Ruipeng Zhang, Jiamao Li, Xiaolin Zhang:
SkeletonGAN: Fine-Grained Pose Synthesis of Human-Object Interactions. - Shuvo Kumar Paul, Mircea Nicolescu, Monica N. Nicolescu:
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, Hernand Ang Hermida, Gian Joseph Bonilla Madrid, Gabriel Costes Marquez, Justin Opulencia Dy, Jose Gerardo Ortile Guerrero, Joel Paz Ilao:
Road Lane Segmentation Using Vehicle Trajectory Tracking and Lane Demarcation Lines. - Stephan Reichelt, Giancarlo Pedrini:
Digital Holography vs. Display Holography - What are their differences and what do they have in common? - Clement Mailhe, Amine Ammar, Francisco Chinesta:
On the use of synthetic images in deep learning for defect recognition in industrial infrastructures. - Panumate Chetprayoon, Theerat Sakdejayont, Monchai Lertsutthiwong:
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, Mayuri D. Patil, Shrikar Madhu, Yousha Mahamuni, Bhaskarjyoti Das:
Detection of Conversational Health in a Multimodal Conversation Graph by Measuring Emotional Concordance. - Takorn Prexawanprasut, Lalita Santiworarak, Piyaporn Nurarak, Poom Juasiripukdee:
Employing Machine Learning and an OCR Validation Technique to Identify Product Category Based on Visible Packaging Features. - Bin Yi, Wenqiang Lin, Wenqi Li, Xiaohua Gao, Bing Zhou, Jun Tang:
Process Quality Prediction Algorithm of Multi output Workshop Based on ATT-CNN-TCN. - Bin Yi, Jun Tang, Wenqiang Lin, Xiaohua Gao, Bing Zhou, Junjun Fang, Yulei Gao, Wenqi Li:
Quality metrics prediction in process manufacturing based on CNN-LSTM transfer learning algorithm. - Ruihong Jia, Guang Yang, Min Nie, Yun Zhang:
Research on Compact Quantum Classifier Based on Kernel Method. - Tasnim Ahmed, Ahnaf Munir, Sabbir Ahmed, Md. Bakhtiar Hasan, Md. Taslim Reza, Md. Hasanul Kabir:
Structure-Enhanced Translation from PET to CT Modality with Paired GANs. - Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera, Adrián López Rodríguez, Fan Zhang, Yurun Tian, Guillem Alenyà, Antonio Agudo, Yiannis Demiris, Krystian Mikolajczyk, Francesc Moreno-Noguer:
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision. - Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuyuki Komoda:
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, Ki-Seok Chung:
An Efficient Noisy Label Learning Method with Semi-supervised Learning: An Efficient Noisy Label Learning Method with Semi-supervised Learning. - Csaba Beleznai, Kai Göbel, Christian Stefan, Peter Dorninger, Aleksandra Pusica:
Vision-based mobile analysis of roadside guardrail structures. - Maghsood Salimi, Mohammad Loni, Marjan Sirjani, Antonio Cicchetti, Sara Abbaspour Asadollah:
SARAF: Searching for Adversarial Robust Activation Functions. - Bin Yi, Wenqi Li, Jun Tang, Xiaohua Gao, Bing Zhou, Xiaoli Xu, Peng Qin, Wenqiang Lin:
Multi-temporal process quality prediction based on graph neural network. - Kejia Wang, Ziliang Ping, Yunlong Sheng:
Discrete Radial-Harmonic-Fourier Moments for Image Description.
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