会议信息

ICIMPACT 2027: International Conference on Intelligent Multimedia, Physical-AI, and Cyber-Technologies

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截稿日期:
2026-10-01
通知日期:
2026-12-01
会议日期:
2027-02-03
会议地点:
Bandung, Indonesia
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会伴指数 (CP-I)

44.0 / 100
全站第 3,268 名 / 共 5,697 个会议 · 前 58%

计算机图形学与多媒体 第 101 / 151 安全与隐私 第 205 / 363

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
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%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：4 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 25% —— 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 2026-10-12

征稿

ICIMPACT 2027 (International Conference on Intelligent Multimedia, Physical-AI, and Cyber-Technologies) is an academic conference held in Bandung, Indonesia on 2027-02-03. The paper submission deadline is 2026-10-01. Acceptance notifications are sent on 2026-12-01.

Conference Tracks ICIMPACT welcomes original research contributions in the following tracks (but not limited to): Track 1 — Multimodal, Generative & Immersive Media Intelligence Scope: AI methods and systems for understanding, retrieving, recommending, generating, and experiencing multimedia—covering both content intelligence and immersive/XR pipelines. Focus areas: Multimodal AI (vision–language–audio) for media understanding Generative media (image/video/audio): controllable generation, editing, alignment Video understanding, captioning, summarization, event/action recognition Multimedia retrieval & semantic search (cross-modal indexing, ranking, evaluation) Recommender systems for media/content (personalization, fairness, accountability) 3D media intelligence: tracking, reconstruction, scene understanding Immersive media applications (AR/VR/MR), digital humans/avatars, motion intelligence Multimodal interaction (voice/gesture/gaze) for immersive experiences Real-time pipelines & QoE (latency, streaming, edge inference, efficiency) Benchmarks, datasets, and evaluation protocols for media AI Track 2 — Biomedical Multimedia Intelligence & Digital Health Systems Scope: AI for biomedical media (medical imaging/video, biosignals, and clinical text) and digital health systems, aligned with Physical-AI (sensing, edge, XR) and cyber-technologies (privacy, security, auditability, provenance). Focus areas: Biomedical imaging & video AI: X-ray/CT/MRI/ultrasound, endoscopy, dermoscopy, WSI (classification, detection, segmentation, grading, prognosis) Multimodal clinical learning: fusion of imaging + biosignals (ECG/PPG/EEG) + clinical text Generative AI for medical media: denoising, super-resolution, reconstruction, modality translation, controlled augmentation Physical-AI for healthcare: wearables/medical IoT, on-device/edge inference, real-time monitoring pipelines Clinical XR/AR and immersive health: training/simulation, guidance, rehabilitation/therapy systems Trustworthy deployment: robustness/domain shift, calibration/uncertainty, bias/fairness, clinician-in-the-loop evaluation Explainable AI (XAI) for clinical media: interpretable evidence, usability-oriented explanations Cyber-tech for health media: de-identification, consent/access control, audit logs, provenance/watermarking, integrity verification System integration: clinical decision support, telemedicine workflows, reliability and latency constraints Track 3 — Digital Business Platforms, Governance & Responsible AI Scope: Engineering and governance of digital platforms and AI products, focusing on lifecycle control, accountability, and compliance-by-design. Focus areas: Digital platform engineering (marketplaces, super-apps, fintech platforms) Data governance for AI products (lineage, quality, access, policy) AI governance & model risk management (monitoring, drift, auditability) Trust & safety systems (moderation, recommender accountability, safety KPIs) MLOps/LLMOps governance (deployment control, logging, incident playbooks) RegTech / compliance-by-design in digital systems Digital identity, access management, and consent for platforms Responsible AI: fairness, transparency, accountability, human oversight Track 4 — Cyber-Technologies for Trustworthy AI & Secure Digital Media Scope: Security, authenticity, and resilience for AI-enabled systems and digital media—protecting models, data, and pipelines against attacks and misuse. Focus areas: Deepfake detection & media forensics Provenance, watermarking, authenticity verification Adversarial ML: evasion/poisoning defenses, model theft protection Privacy-preserving analytics for users/media (e.g., federated learning where relevant) Secure pipelines: integrity, secure storage/streaming, tamper-evident audit logs Threat/anomaly detection in digital platforms and AI systems Security governance for AI-enabled systems (controls, risk management, incident response)
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