NIPS 2018 : Neural Information Processing Systems (NIPS)

NIPS 2018 : Neural Information Processing Systems (NIPS) in Conferences Posted on February 13, 2018 Conference Information Submission Deadline Tuesday 26 Jun 2018 Conference & Submission Link https://nips.cc/ Conference Dates Dec 3, 2018 - Dec 6, 2018 Conference Address Palais des Congrès de Montréal, Canada Proceedings indexed by Neural Information Processing Systems Conference Ranking & Metrics (This is a TOP Conference) Google Scholar H5-index: 101 CORE 2017 Rating: A* Guide2Research Overall Ranking: 2 Category Rankings Machine Learning & Arti. Intelligence 2 Signal Processing 2 Computational Theory and Mathematics 1 Conference Call for Papers NIPS 2018 Call for Competitions We invite proposals for the 2018 Neural Information Processing Systems Competition track (NIPS 2018: https://nips.cc/Conferences/2018) in Montréal, Canada. After the success of the first NIPS 2017 Competition track, a second edition of the Competitions track will be held at NIPS 2018. We solicit competition proposals on any topic of interests to the NIPS community. We especially encourage competition proposals from emerging new fields or new application domains related to NIPS. Interdisciplinary topics that could attract a significant cross-section of the community are highly valued. There will be two kinds of competitions: Standard data science driven competitions, where participants will compete to obtain the best score on a machine learning problem of interest to the NIPS community based on a problem and data defined and released by the organizers of the competition. Live competitions, which will be held in a science-fair manner at NIPS. Participants will present live demos at NIPS which apply methodology in an application domain defined by the organizers of the Live competition. There will be a Competition track session on December 7 where competition results can be discussed and presented. Organizers will propose a tentative schedule for the presentation of the competition and its results based on the assigned time slot. The main conference will provide coffee breaks and, if necessary, poster facilities. For any additional questions please contact the competition chairs. Competition organizers and participants will be invited to contribute with a book chapter for inclusion in the upcoming NIPS 2018 Competition book, within the Springer Series on Challenges in Machine Learning (pending acceptance). DATA SCIENCE COMPETITION PROPOSAL SUBMISSION Regular data science driven competition proposals must be submitted via CMT at: https://cmt3.research.microsoft.com/CT2018/ Please carefully follow the Latex template for data science competition proposal. LIVE COMPETITION PROPOSAL SUBMISSION Live competition proposals must be submitted via CMT at: https://cmt3.research.microsoft.com/CT2018/ Please carefully follow the available template to apply for the Live competition. An important requirement for the Live competition acceptance is the plan for recruiting participants. Latex template for live competition proposal. IMPORTANT DATES Competition proposal submission deadline February 16, 2018 Acceptance notification March 2, 2018 Competition track December 7, 2018 ADDITIONAL COMMENTS TO COMPETITION PROPOSERS In case your proposal contains a “regular data science” track and a “Live” track, please submit both available templates for revision. It may happen that only one of them is accepted. Competition organizers should propose a timeline for running the competition to ensure participants to have enough time to contribute with a high quality solution. It is recommended the whole competition to be finished by the end of October 2018. Organizers with a competition proposal that requires help or suggestions regarding the competition platform to run the competition can contact the competition chairs for advice. Examples of 2017 accepted competition proposals COMPETITION CHAIRS Sergio Escalera, University of Barcelona, Computer Vision Center, ChaLearn, sergio.escalera.guerrero@gmail.com Ralf Herbrich, Amazon, herbrich@amazon.com

CVPR 2019 : IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Submission Deadline Friday 16 Nov 2018 Conference & Submission Link http://cvpr2019.thecvf.com/ Conference Dates Jun 15, 2019 - Jun 21, 2019 Conference Address Long Beach, United States Proceedings indexed by IEEE Conference Ranking & Metrics (This is a TOP Conference) Google Scholar H5-index: 158 CORE 2017 Rating: A Guide2Research Overall Ranking: 1 Category Rankings Image Processing & Computer Vision 1 Machine Learning & Arti. Intelligence 1 Signal Processing 1 CVPR 2019 : IEEE Conference on Computer Vision and Pattern Recognition, CVPR in Conferences Posted on September 8, 2018 Conference Information Submission Deadline Friday 16 Nov 2018 Conference & Submission Link http://cvpr2019.thecvf.com/ Conference Dates Jun 15, 2019 - Jun 21, 2019 Conference Address Long Beach, United States Proceedings indexed by Conference Organizers : ( Deadline extended ? Click here to edit ) Conference Ranking & Metrics (This is a TOP Conference) Google Scholar H5-index: 158 CORE 2017 Rating: A Guide2Research Overall Ranking: 1 Category Rankings Image Processing & Computer Vision 1 Machine Learning & Arti. Intelligence 1 Signal Processing 1 Conference Call for Papers Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to: 3D from Multiview and Sensors 3D from Single Images Action Recognition Biometrics Big Data, Large Scale Methods Computational Photography Computer Vision Theory Datasets and Evaluation Deep Learning Techniques Document Analysis RGBD sensors and analytics Face, Gesture, and Body Pose Image and Video Synthesis Low-level Vision Machine Learning, General Medical, Biological and Cell Microscopy Motion and Tracking Optimization Methods Physics-based Vision and Shape-from-X Recognition: Detection, Categorization, Retrieval Representation Learning Robotics and Driving Scene Analysis and Understanding Segmentation, Grouping and Shape Statistical Learning Video Analytics Vision + Graphics Vision + Language Visual Reasoning Vision Applications and Systems