Conference Information

DICTA 2026: International Conference on Digital Image Computing: Techniques and Applications

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Submission Date:
2026-07-01
Notification Date:
2026-09-01
Conference Date:
2026-12-02
Location:
Sydney, Australia
Years:
ICORE: C   Viewed: 19684   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

58.0 / 100
Ranked #654 of 5,650 conferences · Top 12%
Academic recognition (35%)
58
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
91
Community attention (10%)
13
Public record completeness (15%)
55

Inputs used: Listed as ICORE C · Editions on record: 28 · Researchers who opened this page in the past 24 months: 5

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 80% - 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 2026-09-04

Call For Papers

DICTA 2026 (International Conference on Digital Image Computing: Techniques and Applications) is a ICORE C conference held in Sydney, Australia on 2026-12-02. The paper submission deadline is 2026-07-01. Acceptance notifications are sent on 2026-09-01.

Topics Digital Image Computing: Techniques: Image/video Acquisition, Coding, Processing Computer Vision and Deep Learning Image Coding, Processing, and Enhancement 3D Vision, LiDAR, Shape and Texture Analysis Content-based Image Retrieval Image Analysis and Understanding Semantic Segmentation Quantum Image Processing Digital Image Computing: Applications: Biomedical and e-health Applications Surveillance, Defence, and Industrial Applications Earth Observation and Remote Sensing Medical Image Analysis Human-computer Interaction Vision for Robotics and Autonomous Systems Industrial Machine Vision Generative and Diffusion Imaging Digital Identity Management Digital Image Computing: Artificial Intelligence: Foundation Models and Large Vision Models Multimodal Learning, Alignment, and Reasoning Generative Models for Vision Agentic and Autonomous Vision Systems Embodied Vision and Active Perception World Models and Predictive Visual Intelligence Spatial Intelligence and Physical AI Explainable, Trustworthy, Fair, and Robust AI Efficient, Edge, and Green AI AI for Scientific Discovery and Simulation
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