Conferences and Meetings on Pattern Recognition and Image Processing, Machine Vision

IEEE Computer Society (PAMI TC) and the IEEE Signal Processing Society

The 17th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2020) , sponsored by the IEEE Computer Society (PAMI TC) and the IEEE Signal Processing Society, is the premier forum for the presentation of new advances and research results in the field of video and signal-based surveillance. The goal is to provide a game-changing and cross-disciplinary forum that brings together experts from academia, industry, and government to advance the frontiers of theories, methods, systems, and applications. In the year 2020, we are proud to present this event in Washington DC, USA.

The 2020 International Joint Conference on Biometrics (IJCB 2020) combines two major biometrics research conferences, the Biometrics Theory, Applications and Systems (BTAS) conference and the International Conference on Biometrics (ICB). The blending of these two conferences in 2020 is through a special agreement between the IEEE Biometrics Council and the IAPR TC-4, and should present an exciting event for the entire worldwide biometrics research community.

Spectro Expo

HyperMLPA is an interdisciplinary workshop which aims at bringing together people of different communities and disciplines involved in hyperspectral sensing, machine learning, and pattern analysis. People are invited to contribute in sensor development and calibration, to present and publish new datasets, to present innovative methodological advancements, and to share the latest results and findings of application-oriented work. The HyperMLPA workshop will run for the second time in 2020, as part of the SpectraExpo in parallel with Whispers and SwIImS. HyperMLPA participants will have full access to all Whispers/SwIImS sessions and vice versa.

Photochemistry and Spectroscopy,    Neural Networks and Artificial Intelligence, Machine Learning

Spectro Expo

The aim of this workshop is to bring together all the people involved in hyperspectral data processing, generally speaking.

Spectro Expo

The aim of this symposium is to bring together people working with imaging and spectroscopic data in the wavelength range 780 – 2500 nm. The SWIImS symposium will run for the second time in 2020, as part of the SpectraExpo in parallel with Whispers and HyperMLPA. SWIImS participants will have full access to all Whispers and HyperMLPA sessions and vice versa.

Pontifical Catholic University of Peru (PUCP)

MICCAI 2020 is organized in collaboration with Pontifical Catholic University of Peru (PUCP). The annual MICCAI conference attracts world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention.

University of Trento

DA2PL 2020 (From Multiple Criteria Decision Aid to Preference Learning) aims to bring together researchers from decision analysis and machine learning. It provides a forum for discussing recent advances and identifying new research challenges in the intersection of both fields, thereby supporting a cross-fertilisation of these disciplines.

The 8th International Conference on 3D Vision will be held in Fukuoka, Japan, November 25-28, 2020. In 2011, 3DIM and 3DPVT joined forces to create a new yearly conference dedicated to 3D research, originally known as 3DIMPVT for 2011 and 2012. Since 2013, under the name 3DV (3D Vision), this event has provided a premier platform for disseminating research results covering a broad variety of topics in the area of 3D research in computer vision and graphics, from novel optical sensors, signal processing, geometric modeling, representation and transmission, to visualization and interaction, and a variety of applications.

The 15th Asian Conference on Computer Vision (ACCV2020) will be held in Kyoto on Nov 30 - Dec 4, 2020, which is the best season for enjoying Japanese autumn. ACCV is a leading biennial international conference mainly sponsored by Asian Federation of Computer Vision. This highly successful series provides a premier forum for researchers, developers, and practitioners to present and discuss new problems, solutions, and technologies in computer vision and related areas.

Neural Networks and Artificial Intelligence, Machine Learning,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

Human-Computer Interaction, User Experience,    Multimedia, Computer Graphics and Visualization

In the recent decade, we have witnessed rapid progress in machine learning in general and deep learning in particular, mostly driven by tremendous data. As these intelligent algorithms, systems, and applications are deployed in real-world scenarios, we are now facing new challenges, such as scalability, security, privacy, trust, cost, regulation, and environmental and societal impacts. In the meantime, data privacy and ownership has become more and more critical in many domains, such as finance, health, government, and social networks. Federated learning (FL) has emerged to address data privacy issues. To make FL practically scalable, useful, efficient, and effective on security and privacy mechanisms and policies, it calls for joint efforts from the community, academia, and industry. More challenges, interplays, and tradeoffs in scalability, privacy, and security need to be investigated in a more holistic and comprehensive manner by the community. We are expecting broader, deeper, and greater evolution of these concepts and technologies, and confluence towards holistic trustworthy AI ecosystems. This workshop provides an open forum for researchers, practitioners, and system builders to exchange ideas, discuss, and shape roadmaps towards scalable and privacy-preserving federated learning in particular, and scalable and trustworthy AI ecosystems in general.

WACV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

Applied Mathematics (in general),    Robotics, Automation & Mechatronics

Institute for Mathematical Sciences/National University of Singapore

The program aims at studying emerging questions on game theory and applications thereof. Some of the most relevant topics of investigation in game theory revolve around the idea of solution concept for a game, the complexity of its calculation, the ability of agents to learn it, its efficiency, and its nature when the game must satisfy some constraints, such as the ones imposed by an underlying network structure.

Complex Networks,    Probability and Statistics, Game Theory

The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

Phone: [+351 265 520 185];     Email: icpram.secretariat@insticc.org

Modeling and Simulation,    Neural Networks and Artificial Intelligence, Machine Learning

SPIE

The conference where information is shared by leading researchers in image processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology and digital pathology. This also includes an increased focus on fast emerging areas like Deep Learning, AI, Machine Learning, and information fusion.

Customer Service;     Phone: [3606763290];     Email: customerservice@spie.org

Physics of Medical Imaging, Image Processing, Computer-Aided Diagnosis, Image-Guided Procedures, Robotic Interventions, Modeling, Image Perception, Observer Performance, Technology Assessment, Biomedical Applications in Molecular, Structural, Functional Imaging, Imaging Informatics for Healthcare, Research, Applications, Ultrasonic Imaging, Tomography, Digital, and Computational Pathology.

Healthcare Technologies,    Microscopy

The state-of-the-art image processing research works are dedicated to cover a wide range of computational intelligence techniques with a completely new way of neural networks organization concept called Capsule Networks [CapsNets] that opens up a new era of advanced image-processing applications. It is being organized on May 27-28, 2021 in association with King Mongkut’s University of Technology Thonburi, Thailand, Dayeh University, Taiwan, and Tribhuvan University, Nepal. Moreover, the 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021] initiates a capsule network perspective to leverage an authoritative and detailed representation to deliver an enhanced image and video recognition and adaptive processing mechanisms which were closely related to the humanistic way of thinking. This extended ICIPCN 2021 conference will be a dedicated platform for researchers, academicians and scholars to share and exchange their valuable research insights, which may clearly define the image and the family of image processing techniques and applications. Henceforth, this premier International conference motivates the researchers to discover more information from images and perform innovative image analysis procedures by efficiently utilizing the evolving capsule network models.

Phone: [09600368297];     Email: icipcn.conf@gmail.com

Image Processing Image recognition and Analysis Image Registration Image segmentation and edge detection Image texture analysis Medical imaging systems Image acquisition, reconstruction and synthesis Feature Extraction techniques Medical image diagnosis Image reconstructions and losses Medical interpretability and explainable deep learning frameworks Image processing for multispectral images Image enhancement and restoration Image formation principles Pattern recognition and capsule networks in object tracking Face and gesture recognition techniques Genetic algorithms Signal identification and representation Speech and audio processing Optical signal processing Capsule based biometric technologies Cognitive vision of image processing Multi-fusion imaging Capsule Networks Capsules in image analysis Deep learning in image analysis Pattern recognition Machine Learning Data mining Big data analytics and imaging Visual content analysis Fuzzy systems Human-visual systems Robotic vision of image processing Capsules in adaptive image processing Machine learning in capsule neural networks Capsule implementation in image systems Capsules and digital image processing techniques Routing mechanisms Machine Intelligence Artificial neural networks Artificial Intelligence Techniques

IEEE Signal Processing Society

Acoustics, Noise and Vibration,    Natural Language Processing, Computational Linguistics

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Courses and Events for Math Students and Early Career Researchers,    Systems theory, Control and Automation

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

Recent remarkable advances in learning-based methods are revolutionizing the field of image analysis resulting in a paradigm shift towards data-driven approaches. These methods have already shown tremendous success in a wide range of applications from computer vision such as object detection and object category classifications. To perform efficiently though, such methods typically require a large number of training sample and this requirement is highly impractical or impossible in applications from medical imaging where it is very laborious and expensive to generate labeled data. Another drawback of learning-based method is that they do not come with provable performance guarantees. One remedy to such limitations is to combine data-driven methods with prior knowledge through mathematical and/or physical models in such a way to optimize processing, reconstruction and analysis of medical imaging data without the need of extensive training. This workshop will bring together researchers with a different background ranging from optimization, inverse problem, numerical and harmonic analysis and machine learning to advance state-of-the-art methods combining data- and model-driven approaches for medical imaging.

ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

The workshop focuses on the novel mathematical challenges of statistics and machine learning. The spectacular success of machine learning in a wide range of applications opens many exciting theoretical challenges in a number of mathematical fields, including probability, statistics, combinatorics, optimization, and geometry. BIRS will bring together researchers of machine learning and mathematical statistics to discuss these problems. The principal topics include combinatorial statistics, online learning, and deep neural networks.

Courses and Events for Math Students and Early Career Researchers,    Neural Networks and Artificial Intelligence, Machine Learning

The Optical Society (OSA)

The Optical Tomography and Spectroscopy (OTS) Topical Meeting builds on the strong foundations of the OSA Biomedical Optics Topical meeting where groundbreaking research on optical tomography and spectroscopy was historically discussed since mid-1990’s. Example topics central to this meeting are novel instrumentation, data analysis algorithms, pre-clinical and clinical applications highlighting the validation and applicability of novel methods and concepts. This meeting is unique in the sense that it brings together researchers working at all levels of this multi-disciplinary effort and has historically been providing the echo-system that has been feeding other more specialized areas and applications. Optical coherence tomography, photoacoustics, diffuse correlation spectroscopy have all spun out of this meeting and now stand-alone application areas such as functional near-infrared spectroscopy of the brain emerged.

The Optical Society (OSA)

This topical meeting focuses on new developments and aplications of optical coherence tomography (OCT). Topics central to this meeting are novel OCT light sources, imaging probes, and systems, computational modeling and imaging processing algorithms, multimodal technologies, basic and translational applications.

Optics and Lasers,    Photonics, Optoelectronics and Display Devices

IEEE Signal Processing Society

Acoustics, Noise and Vibration,    Natural Language Processing, Computational Linguistics

International Association for Pattern Recognition (IAPR)