会议信息

ASIG 2026: Asia Symposium on Image and Graphics

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ASIG
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截稿日期:
2026-08-20 Extended
通知日期:
2026-09-20
会议日期:
2026-12-04
会议地点:
Kyoto, Japan
届数:
4
主办方:
浏览: 9865   关注: 0   参加: 0

会伴指数 (CP-I)

43.2 / 100
全站第 3,654 名 / 共 5,681 个会议 · 前 65%

计算机图形学与多媒体 第 109 / 151

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
43
社区关注 (10%)
18
资料公开度 (15%)
35

用到的输入: 有据可查的届次：4 · 过去 24 个月打开过本页的研究者：10 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 45% —— 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 2026-09-13

征稿

ASIG 2026 (Asia Symposium on Image and Graphics) is an academic conference held in Kyoto, Japan on 2026-12-04. The paper submission deadline is 2026-08-20 (extended). Acceptance notifications are sent on 2026-09-20.

We encourage authors to submit original and previously unpublished research work. All submissions will be peer-reviewed by experts in the respective fields. Accepted papers will be published in the symposium proceedings and indexed in major databases. Topics of interest include but are not limited to: Track 1. Image Processing and Analysis - Image enhancement, restoration, and filtering - Image segmentation and object detection - Image compression, coding, and transmission - Medical image processing and analysis - Remote sensing and satellite image processing - Hyperspectral and multispectral image analysis Track 2. Computer Vision and Pattern Recognition - Object detection, tracking, and recognition - 3D vision and reconstruction - Motion analysis and action recognition - Scene understanding and semantic segmentation - Face, gesture, and pose recognition - Deep learning for computer vision tasks Track 3. Graphics and Visualization - Rendering techniques (real-time, photorealistic, non-photorealistic) - Geometric modeling and processing - Animation, simulation, and virtual reality - Augmented reality and mixed reality - Scientific and information visualization - GPU-based graphics and parallel computing Track 4. Machine Learning and AI for Image and Graphics - Deep learning for image and graphics applications - Generative models (GANs, VAEs, diffusion models) - Reinforcement learning in visual tasks - Transfer learning and domain adaptation - Explainable AI for image and graphics - Neural rendering and neural networks for graphics Track 5. Multimedia Systems and Applications - Multimedia content analysis and retrieval - Multimedia compression and streaming - Interactive multimedia systems and user interfaces - Multimedia security, watermarking, and forensics - Social media analysis and recommendation systems - Applications in gaming, entertainment, and education Track 6. Emerging Technologies and Interdisciplinary Applications - Quantum image processing and computing - Neuromorphic computing for image and graphics - Edge and fog computing for visual data processing - Ethical and societal implications of image and graphics technologies - Applications in autonomous vehicles, robotics, and drones
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