ICIPCN-2022: Third International Conference on Image Processing and Capsule Networks Ibis Bangkok Riverside Hotel Bangkok, Thailand, May 20-21, 2022 |
Conference website | https://icipcn.com/2022/# |
Submission link | https://easychair.org/conferences/?conf=icipcn2022 |
Abstract registration deadline | May 18, 2022 |
Submission deadline | May 19, 2022 |
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. ICIPCN 2022 provides a standard forum for researchers to discuss the state-of-the-art theories and ideas associated with real-time image enhancement using deep learning, capsule networks and intelligent learning methods. Also, ICIPCN discusses all the challenges and limitations of using deep learning and CapsNet models in real-time image processing.
List of Topics
Track-1
- Deep learning-based image enhancement
- AI-driven computational models for image abnormalities detection
- Intelligent learning algorithms for image reconstruction and enhancement
- Real-time image security and privacy mechanisms
- Content-based retrieval and image generation
- Vision-based human-computer interaction
- Cognitive aspects of image understanding
- Predictive models using CNN/CapsNet
- Geometric image processing and analysis
- Statistical pattern recognition
- Multispectral and hyperspectral imaging and applications
Track-2
- Biometrics, forensics, and security
- COVID-19 and intelligent imaging processing approaches
- Quantum image processing
- Explainable deep learning models for images
- Capsule based biometric technologies
- Soft computing for image processing
- Automated & robotic imaging models
- Neuromorphic image processing
- Artificial intelligence based image signal processing
- Novel imaging software and application
- Automated quantitative nano imaging
- 3D image processing models
- Deep image processing models for healthcare/industry applications
Committees
Program Committee
- Prof. Dr. Subarna Shakya, Department of Electronics and Computer Engineering, Pulchowk Campus, Institute of Engineering Tribhuvan University, Nepal.
- Dr. Joy Iong Zong Chen, Professor, Department of Electrical Engineering, Da-Yeh University, Taiwan.
- Dr. João Manuel R. S. Tavares, Professor, Faculdade de Engenharia, Universidade do Porto, Portugal.
- Dr. Fuqian Shi, Rutgers University, New Jersey, United States.
- Dr. Abdul M. Elias, Professor. Tokyo Institute of Technology, Tokyo-Japan.
- Dr. Ke-Lin Du, Affiliated Associate Professor, Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.
- Dr. Wang Haoxiang, Go Perception Laboratory, Cornell University, USA.
- Dr. Tanes Tanitteerapan, Dean Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi, Thailand.
- Dr. S. Smys, Professor, Department of CSE, RVS Technical Campus, Coimbatore, India.
Organizing committee
King Mongkut’s University of Technology, Thailand
Dayeh University, Taiwan
Tribhuvan University, Nepal
Invited Speakers
Dr. Joy Iong Zong Chen
Professor, Department of Electrical Engineering, Da-Yeh University, Changhua County, Taiwan.
Dr. R. Kanthavel
Department of Computer Engineering, King Khalid University, Kingdom of Saudi Arabia.
Publication
ICIPCN-2022 proceedings will be published in Springer - Lecture Notes in Networks and Systems
Venue
Due to Covid-19 travel restrictions, the Conference will be held Online.
Contact
All questions about submissions should be emailed to icipcn.conf@gmail.com
Sponsors
King Mongkut’s University of Technology, Thailand
Dayeh University, Taiwan
Tribhuvan University, Nepal