Important information

Official website: www.icicml.org

Conference time: October 28-30, 2022

Venue: Xi 'an, China

First round deadline: July 24, 2022

Acceptance/rejection notice: within 1 week after submission

Indexed by EI Compendex, Scopus

 

 

The 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML2022) will be held in Xiamen, China during October 28-30, 2022. The conference will focus on the latest research results in the computer field such as image and visual processing, machine learning, etc., and provide experts, professors, scholars, engineers from domestic and foreign universities, scientific research institutes, enterprises and institutions with a sharing professional experience, Expand professional networks, exchange new ideas face-to-face and an international platform for presenting research results, discuss key challenges and research directions faced by the development of this field, with a view to promoting the development and application of theories and technologies in this field in universities and enterprises. Participants can establish business or research contacts and find global partners for future careers.

 

 

Call For Paper:

Image processing:

Pattern recognition and analysis, face recognition, image feature extraction, image processing, image segmentation, object recognition, emotion recognition, image quality, image and video coding, image and video retrieval, image enhancement and compression of medical image and multispectral imaging, stereo vision, digital photography, holographic imaging, image acquisition technology, etc.

 

Computer vision:

Big data and computer vision, biometrics, biomedical image analysis, remote sensing image, computational photography, optimization and method of study, sensor and display, data collection and performance analysis, computer vision of deep learning, document image analysis, character identification, analysis, behavior identity, visual models, video analysis, multimodal information processing, visual and language, Motion and tracking, 3D reconstruction, human-computer interaction, etc

 

Machine learning:

Intelligent data analysis, modeling and identification, multitasking and migration study, machine learning algorithms, deep learning, artificial intelligence, intelligent search, data mining, data access, pattern recognition, intelligent transportation, information system security, data compression, data encryption, mobile computing, wireless sensor network, multimedia network, neural network, robot control, signal detection and estimation, Biological information processing, intelligent systems, statistical learning, Bayesian networks, etc

 

 

Contact:

Daniel Xu：[email protected]