Conference Information

ICVS 2023: International Conference on Computer Vision Systems

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ICVS
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Submission Date:
2023-06-12 Extended
Notification Date:
2023-07-13
Conference Date:
2023-09-27
Location:
Vienna, Austria
Years:
14
ICORE: C   QUALIS: B1   Viewed: 293604   Tracked: 7   Attend: 1

Conference Partner Index (CP-I)

58.7 / 100
Ranked #645 of 5,687 conferences · Top 12%

#20 of 246 in Computer Vision & Pattern Recognition

Academic recognition (35%)
78
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
73
Community attention (10%)
30
Public record completeness (15%)
25

Inputs used: Listed as ICORE C, QUALIS B1 · Editions on record: 14 · Researchers following it here: 7 · Researchers who opened this page in the past 24 months: 3

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 80% - 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 2026-09-25

Call For Papers

ICVS 2023 (International Conference on Computer Vision Systems) is a ICORE C / QUALIS B1 conference held in Vienna, Austria on 2023-09-27. The paper submission deadline is 2023-06-12 (extended). Acceptance notifications are sent on 2023-07-13.

The 14th International Conference on Computer Vision Systems will be held online on September 27-29, 2023 continuing a series of successful events beginning in Las Palmas, Spain, in 1999. In the meantime ICVS took place on three continents and in eleven different countrys. While most computer vision conferences focus on specific methods for experimental applications, ICVS primarily addresses issues arising in the design and deployment of comprehensive computer vision systems. We warmly welcome contributions of papers targeting the conference scope, which includes but is not limited to the following topics: Building Vision Systems: Paradigms, architectures, integration, control Vision Systems Applications: Systems deployed in real/realistic scenarios Real-time Vision Systems Robot Vision Mobile and Wearable Vision Systems Hardware-Implemented Vision Systems Vision for the Real World: Robustness, learning, adaptability, self-assessment, failure recovery Vision for Action: Robotics, perception-action loops Vision in Context: Context awareness, knowledge representations, reasoning, goal specification Biological Vision: Computer vision inspired by biology or psychology Cognitive Vision Systems Human-computer interaction: Monitoring, supervised learning, scene interpretation Human-Robot Collaboration: Gesture recognition, scene understanding Performance Evaluation: benchmarks, methods and metrics
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