Conference Information

VISUM 2018: Vision Understanding and Machine Intelligence Summer School

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Submission Date:
2018-02-23
Notification Date:
2018-03-02
Conference Date:
2018-07-05
Location:
Porto, Portugal
Years:
6
Viewed: 13612   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.6 / 100
Ranked #3,971 of 5,680 conferences · Top 70%

#511 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
52
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Editions on record: 6 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-12

Call For Papers

VISUM 2018 (Vision Understanding and Machine Intelligence Summer School) is an academic conference held in Porto, Portugal on 2018-07-05. The paper submission deadline is 2018-02-23. Acceptance notifications are sent on 2018-03-02.

Call for Participation The sixth edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 5 and 13, July 2018, in Porto - Portugal. This year the following topics will be covered: 1. Computer Vision and Machine Learning 2. Affective Computing 3. Deep Learning 4. Statistical Shape Modelling 5. Human Behaviour Analysis 6. Brain Image Analysis World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project. Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning. The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics. Application deadline 23 February 2018 Intended audience In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore: 1. MSc and PhD students 2. Researchers and Post-doctoral scholars 3. Industry professionals Social Program Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You’ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we’ll tour the city and check some of its coolest spots. List of invited speakers Alejandro Frangi, University of Sheffield, UK Björn W. Schuller, University of Augsburg, DE Michel Valstar, University of Nottingham, UK Jaime S. Cardoso, University of Porto, PT Luís Teixeira, University of Porto, PT Industry panel IBM Research AI, IBM T. J. Watson Research Center / by John R. Smith, USA Bosch / by to be announced Tecnalia / by Thierry Keller, ES Neadvance / by Manuel João Ferreira, PT CardioID / by André Lourenço, PT NOTE: the completed list of speakers and industrial panel will be revealed soon!
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Related Journals

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CMachine Vision and Applications2.3Springer0932-8092
BComputer Vision and Image Understanding3.5Elsevier1077-3142
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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