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SAP 2026: ACM Symposium on Applied Perception

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截稿日期:
2026-04-21
通知日期:
2026-06-02
会议日期:
2026-08-26
会议地点:
Rennes, France
届数:
23
ICORE: B   浏览: 29983   关注: 1   参加: 0

会伴指数 (CP-I)

61.5 / 100
全站第 551 名 / 共 5,682 个会议 · 前 10%
学术认可 (35%)
72
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
86
社区关注 (10%)
17
资料公开度 (15%)
50

用到的输入: 收录等级：ICORE B · 有据可查的届次：23 · 在会伴关注它的研究者：1 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)
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 2026-09-19

征稿

SAP 2026 (ACM Symposium on Applied Perception) is a ICORE B conference held in Rennes, France on 2026-08-26. The paper submission deadline is 2026-04-21. Acceptance notifications are sent on 2026-06-02.

The ACM Symposium on Applied Perception (ACM SAP) provides an intimate forum for researchers who combine knowledge, methods, and insights from perception research and computer science disciplines. This includes such disciplines as cognitive psychology, perceptual psychology, psychophysics, behavior-analysis, and neuroscience on the perceptual side and computer graphics, computer vision, visualization, virtual reality and human-computer interfaces on the visual computing side. The interdisciplinary focus of this conference acknowledges that the various scientific disciplines in perception research and computer science research use different but complementary methods to address fundamentally similar questions. As such, combinations of knowledge, methods, and/or insights from the different fields can help to advance all of the applied perception fields. ACM SAP 2026 will be held in Rennes, France on the 26th and 27th of August, 2026. SAP welcomes original unpublished research related to all topics relevant to both perception and computer science. This research can be submitted as a long paper of up to 8 pages or as a short paper of up to 4 pages. In all cases the page limit is EXCLUSIVE of the pages devoted to bibliographic references and appendices. Under an agreement with the ACM Transactions on Applied Perception (TAP) and the ACM Publications Board, the strongest accepted papers will be offered publication as full papers in the ACM journal TAP (instead of appearing in the proceedings). Authors of such special issue papers must agree to present the paper at ACM SAP. As has always been the case, authors of regular ACM SAP papers can still submit to TAP regular issues with appropriate additions. Papers that have been recommended for acceptance in the ACM TAP journal will undergo a second review cycle, during which the authors will revise the paper to address reviewer concerns. Topics of interest SAP welcomes submissions related to topics relevant to both perception and computer science summarized as follows. Application of perceptual research to any area of computer science, including but not limited to: modeling, rendering, animation virtual environments, characters, embodied conversational agents, avatars processing information from artificial sensors representation of data, communication of data, interaction with data Applications of computer science to any area of perception, including but not limited to: perceptually motivated algorithms (e.g. foveated rendering, image and video compression, tone mapping) perceptual topics in displays (luminance, contrast, depth perception, frame rate) modeling natural perceptual systems simulating natural perceptual systems Emerging topics such as: animal perception privacy and security novel sensors studies that combine perception and computing research toward applications to healthcare, deep space exploration, cultural and ecological preservation
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CCF全称影响因子出版商ISSN
BACM Transactions on Applied Perception2.1ACM1544-3558
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
IEEE Access3.6IEEE2169-3536

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