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ORCID7th ICMVA 2024: Singapore
- Proceedings of the 2024 7th International Conference on Machine Vision and Applications, ICMVA 2024, Singapore, Singapore, March 12-14, 2024. ACM 2024
- Kirill Bogomasov
, Tim Geuer, Stefan Conrad:
Let's Talk About Image Quality Improvement in Underwater Images for Object Detection. 1-6 - Shuang Liu, Steen G. Hanson, Mitsuo Takeda, Wei Wang:
Recovering Image Information from Colored Speckle under RGB Illumination in an Imaging System. 7-11 - Sanjeeb Prasad Panday, Mani Prasad Dumre, Aman Shakya, Basanta Joshi:
Performance Enhancement of Covid-19 Chest X-Ray Image Classification Using GAN and CNN. 12-20 - Prashanth Janardhan, Harish Narayana, Vindhya Srinivas:
Temporal Change Studies in Kaziranga National Park. 21-26 - Moirangthem Sonia, Indrajit Kalita, Debashree Devi:
A Breast Cancer Prognosis Model using PyRadiomics and Image Segmentation from MRI data. 27-34 - Weijing Cheng:
Prompt Retrieval from Stable Diffusion Generated Images Using the ConvNeXt CLIP Network. 35-40 - Duong Duc Tin, Thai Tieu Phuong, Le Hong Trang:
SERF-P: A Semi Supervised Approach via Enhancing Representative Features and Pseudo-Labeling. 41-47 - Ayesh Meepaganithage, Mircea Nicolescu, Monica N. Nicolescu:
Hostile Vessel Behavior Prediction using LSTMs. 48-53 - Zheng Ren, Yingqiu Li, Yujun Shen, Yanxin Xu:
Research on Intelligent Control Methods for Community Real Population Based on Big Data and Object Detection. 54-59 - Mandicou Ba, Pape Ibrahima Thiam, Etienne Delay, Charles Abdoulaye Ngom, Idy Diop, Alassane Bah:
Deep Learning-based Land Use and Land Cover Changes Detection from Satellite Imagery : a case study of the city of Richard Toll. 60-68 - Zhixun He, Mukesh Singhal:
VQUNet: Vector Quantization U-Net for Defending Adversarial Attacks by Regularizing Unwanted Noise. 69-76 - Angelo Christian Matias, Neil Patrick Del Gallego:
Style-Driven Image Enhancement for Entry-Level Mobile Devices. 77-83 - Marco Wallner, Matthias Schörghuber, Markus Hofstätter:
A Unified Database Schema for Geometric and Semantic Data: Continuous Volumetric Stocktaking in Gravel Quarries. 84-91 - Jens de Hoog, Ali Anwar, Peter Hellinckx, Siegfried Mercelis:
Selection of image classifiers for noisy images through metalearning. 92-99 - Yingdi Jiang, Jiarui Yao, Fangfei Li, Yan Zhang:
Research on Engineering Management Question-answering System in the Communication Industry Based on Large Language Models and Knowledge Graphs. 100-105 - Xuning Zheng, Siyu Xia, Ziyiu Yu, Xiankang Wang:
FAIC-Attack: An Adversarial Watermarking Attack against Face Age based on Identity Constraint. 106-110 - Sofia Casarin, Cynthia Ifeyinwa Ugwu:
DDS-NAS-Bench: Towards predictors under Data Distribution Shift. 111-116 - Masaki Aono, Tetsuya Asakawa, Hiroki Shinoda, Kazuki Shimizu, Takuya Togawa, Kei Nomura:
Predicting Stenosis Severity and Localization in Coronary Artery using Deep Learning. 117-125 - Cynthia Ifeyinwa Ugwu, Sofia Casarin, Oswald Lanz:
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion. 126-133 - Xu Yan, Weimin Wang, Mingxuan Xiao, Yufeng Li, Min Gao:
Survival Prediction Across Diverse Cancer Types Using Neural Networks. 134-138 - Zhiyu Gao, Haibin Lan, Changsheng Zhang, Yao Huang, Jian Fu:
Modeling Technique for Optimizing Simulation Objective Function Based on Key Parameters of the X-ray Imaging System. 139-144 - Mingxuan Xiao, Yufeng Li, Xu Yan, Min Gao, Weimin Wang:
Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example. 145-149 - Kevin Lin, Donald E. Brown, Sana Syed, Adam Greene:
Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation. 150-153 - Magnus Kaufmann Gjerde, Kamal Nasrollahi, Thomas B. Moeslund, Joakim Bruslund Haurum:
Enhancing Direct Visual Odometry with Deblurring and Saliency Maps. 154-161 - Khin Cho Win, Zahid Akhtar, C. Krishna Mohan:
Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition? 162-168 - Aakash Gnanavelu, Ching Yee Huang, Tze Swen Yee, Hongyi Wang, Oliver Aik Dee Oh, Kai Rong Chang, Siaw-Lang Wong:
Improving Optical Character Recognition in License Plate Images using Reinforcement Learning. 169-174
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