625 citations
- Jeonbuk National UniversityKR4 papers
- Korea Institute for Advanced StudyKR4 papers
- Henry Royce InstituteGB3 papers
- Johns Hopkins UniversityUS3 papers
- University of ManchesterGB3 papers
- Yonsei UniversityKR3 papers
- Czech Academy of Sciences, Institute of MathematicsCZ2 papers
- Ioffe InstituteRU2 papers
- Norwegian University of Science and TechnologyNO2 papers
- Oslo University HospitalNO2 papers
- Petersburg Nuclear Physics InstituteRU2 papers
- Tianjin University of Science and TechnologyCN2 papers
21 papers
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
Mingle Xu, Hyongsuk Kim, Jucheng Yang +5
Recent advancements in deep learning have brought significant improvements to plant disease recognition. However, achieving satisfactory performance often requires high-quality tra…
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames
Hemin Ali Qadir, Younghak Shin, Jacob Bergsland +1
An efficient deep learning model that can be implemented in real-time for polyp detection is crucial to reducing polyp miss-rate during screening procedures. Convolutional neural n…
Simple U-net Based Synthetic Polyp Image Generation: Polyp to Negative and Negative to Polyp
Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin
Synthetic polyp generation is a good alternative to overcome the privacy problem of medical data and the lack of various polyp samples. In this study, we propose a deep learning-ba…
Variation-Aware Semantic Image Synthesis
Mingle Xu, Jaehwan Lee, Sook Yoon +2
Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years. Alth…
Collision/No-collision results of a solid body with its container in a 3D compressible viscous fluid
Bum Ja Jin, Šárka Nečasová, Florian Oschmann +1
We consider a bounded domain and a rigid body moving inside a viscous compressible Newtonian fluid. We exploit the roughness of the b…
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu, Sook Yoon, Alvaro Fuentes +1
Deep learning has been achieving decent performance in computer vision requiring a large volume of images, however, collecting images is expensive and difficult in many scenarios.…