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ICVS 2023: International Conference on Computer Vision Systems

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ICVS
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截稿日期:
2023-06-12 Extended
通知日期:
2023-07-13
会议日期:
2023-09-27
会议地点:
Vienna, Austria
届数:
14
ICORE: C   QUALIS: B1   浏览: 293605   关注: 7   参加: 1

会伴指数 (CP-I)

58.7 / 100
全站第 645 名 / 共 5,687 个会议 · 前 12%

计算机视觉与模式识别 第 20 / 246

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
73
社区关注 (10%)
30
资料公开度 (15%)
25

用到的输入: 收录等级：ICORE C, QUALIS B1 · 有据可查的届次：14 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-25

征稿

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
由 Dou Sun 最后更新于

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