Conference Information

CVAI 2027: International Symposium on Computer Vision and Artificial Intelligence

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Submission Date:
2026-11-25 Due in 61 days
Notification Date:
2026-12-25
Conference Date:
2027-03-25
Location:
Hong Kong, China
Years:
Viewed: 7437   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.9 / 100
Ranked #3,796 of 5,687 conferences · Top 67%

#192 of 246 in Computer Vision & Pattern Recognition #483 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
30
Community attention (10%)
12
Public record completeness (15%)
55

Inputs used: Editions on record: 2 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · 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 45% - 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

CVAI 2027 (International Symposium on Computer Vision and Artificial Intelligence) is an academic conference held in Hong Kong, China on 2027-03-25. The paper submission deadline is 2026-11-25. Acceptance notifications are sent on 2026-12-25.

This symposium has 8 tracks, with topics of interest included but not limited to: Track 1: Foundational Visual Perception & Representation Learning Low-level vision and image processing Visual representation and feature learning Unsupervised / self-supervised / semi-supervised learning Metric learning and embedding models Transfer learning and domain adaptation Visual attention and saliency models Lightweight and efficient visual models Track 2: Generative AI & Visual Synthesis Generative adversarial networks (GANs) Diffusion models and transformer-based generation Image, video, and 3D object generation Text-to-image / text-to-video generation Neural radiance fields (NeRF) and novel view synthesis Image-to-image translation and editing Content creation and digital human Track 3: 3D Vision & Reconstruction 3D point cloud processing and understanding 3D object detection, segmentation, and tracking Multi-view stereo and depth estimation Surface reconstruction and geometric modeling 3D scene understanding and layout estimation RGB-D sensing and fusion 3D-aware generative models Track 4: Video Understanding & Action Recognition Video classification and action recognition Video object detection, tracking, and segmentation Video captioning and retrieval Video summarization and highlight detection Activity analysis and behavior understanding Event detection and anomaly detection Multimedia analysis and understanding Track 5: Multimodal Fusion & Cross-Modal Intelligence Vision-language pre-training and alignment Multimodal representation learning and fusion Visual question answering (VQA) and reasoning Cross-modal retrieval and generation Multimodal large models and agents Multimodal emotion and sentiment analysis Track 6: Trustworthy AI & Visual Robustness Chair: Assistant Professor Bingzhuo Zhong, The Hong Kong University of Science and Technology (Guangzhou), China Adversarial robustness and defense Fairness, accountability, and transparency Privacy-preserving visual learning Interpretability and explainable AI (XAI) Out-of-distribution detection Ethics and safety in computer vision Track 7: Edge Intelligence & Embedded Vision Model compression and acceleration Embedded vision systems and hardware Edge computing and distributed vision Real-time visual perception on devices Low-power vision and IoT applications Autonomous perception on edge devices Track 8: Medical Imaging & Biometric Analysis Medical image segmentation and detection Computer-aided diagnosis and prognosis Biometric recognition (face, fingerprint, iris, etc.) Multi-modal medical image fusion Medical image generation and enhancement Clinical applications and validation
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