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SIPRO 2026 : 12th International Conference on Signal and Image Processing

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Link: https://ceu2026.org/
 
When Jun 27, 2026 - Jun 28, 2026
Where Copenhagen, Denmark
Submission Deadline Apr 11, 2026
Notification Due May 23, 2026
Final Version Due May 30, 2026
Categories    communications   knowledge representation   remote sensing   internet
 

Call For Papers

12th International Conference on Signal and Image Processing (SIPRO 2026)

June 27 ~ 28, 2026, Copenhagen, Denmark

Scope & Topics

12th International Conference on Signal and Image Processing (SIPRO 2026) serves as a premier global forum for researchers, practitioners, and industry experts to present the latest innovations, research findings, and emerging trends in the rapidly evolving fields of signal processing, image processing, computer vision, and pattern recognition. As digital signals and visual data continue to shape the future of technology from intelligent sensing systems and autonomous platforms to biomedical imaging and generative AI, SIPRO 2026 provides a vital platform for advancing both foundational theory and real world applications.

Authors are invited to contribute original research articles, case studies, survey papers, and industrial experiences that demonstrate significant advances in any area related to signal, image, and pattern analysis. Submissions may address theoretical developments, algorithmic innovations, system implementations, or novel applications. Contributions are welcome in all relevant areas, including but not limited to the topics listed below.


Topics of interest include, but are not limited to, the following


    Machine Learning & AI for Signal and Image Processing

  • Deep Learning for Signals, Images and Video
  • Foundation Models (Vision, Audio, Multimodal)
  • Vision–Language–Action Models and Multimodal Agents
  • Self supervised, Weakly supervised and Unsupervised Learning
  • Generative AI (Diffusion Models, GANs, Neural Fields)
  • Score based and Diffusion based Signal Processing
  • Graph Neural Networks for Signal and Image Processing
  • Federated, Distributed and Continual Learning
  • Causal Learning for Signals and Vision
  • Explainable, Robust and Trustworthy AI
  • World Models and Predictive Modeling

    Computer Vision, Graphics and Image Understanding

  • Object Detection, Tracking and Recognition
  • Image Segmentation (Semantic, Instance, Panoptic)
  • 3D Vision: Reconstruction, NeRFs, Gaussian Splatting
  • 4D Vision and Dynamic Scene Reconstruction
  • Multi view Geometry and Structure from Motion
  • Visual SLAM and Embodied Perception
  • Human Pose, Motion and Behavior Understanding
  • Computational Photography and Imaging
  • Vision Transformers and Hybrid Architectures
  • Real time Neural Rendering and Neural Compression

    Biomedical and Health related Signal/Image Processing

  • Medical Image Analysis (MRI, CT, Ultrasound, PET, Microscopy)
  • Foundation Models for Medical Imaging
  • Bio signal Processing (ECG, EEG, EMG, Wearables)
  • Neural Decoding and Brain–Computer Interfaces
  • Digital Pathology and Computational Histology
  • Radiomics and Multi modal Clinical Data Fusion
  • AI for Healthcare Diagnostics and Prognostics
  • Surgical Vision and Image guided Interventions

    Speech, Audio and Acoustic Signal Processing

  • Speech Recognition, Synthesis and Enhancement
  • Audio Visual Speech Processing
  • Spatial Audio, Acoustic Scene Analysis and Sound Event Detection
  • Generative Audio (Neural Codecs, Diffusion Audio Models)
  • Music Information Retrieval
  • Speech and Audio Processing for AR/VR
  • Multisensory Audio Fusion (Audio–Tactile, Audio–Radar, etc.)

    Communications, Radar, Sonar and Remote Sensing

  • Radar, Sonar, Lidar and Acoustic Signal Processing
  • MIMO, mmWave and 6G Signal Processing
  • Synthetic Aperture Radar (SAR) and Hyperspectral Imaging
  • Earth Observation and Geospatial AI
  • Foundation Models for Remote Sensing
  • Localization, Positioning and Navigation
  • Cognitive Radio and Spectrum Sensing
  • Multisensory Fusion (Radar + Vision, Lidar + Vision, Event Cameras + IMU)

    Core Signal Processing Theory and Methods

  • Statistical Signal Processing
  • Sparse Representations and Compressed Sensing
  • Time–Frequency and Time–Scale Signal Analysis
  • Nonlinear and Multidimensional Signal Processing
  • Detection, Estimation and Classification
  • Distributed and Networked Signal Processing
  • Optimization Methods for Signal and Image Processing
  • Physics informed Signal and Image Processing

    Security, Privacy and Responsible Signal Processing

  • Deepfake Generation and Detection
  • Digital Forensics and Media Authenticity
  • Watermarking and Steganography
  • Privacy preserving Signal and Image Processing
  • Bias, Fairness and Responsible AI
  • Provenance Tracking for Synthetic Media
  • Robustness to Distribution Shifts

    Systems, Hardware and Real time Implementation

  • High performance Architectures for Signal Processing
  • FPGA, ASIC, GPU and AI Accelerator Implementations
  • Edge AI, TinyML and Low power Signal Processing
  • Real time Perception Systems
  • Neuromorphic Computing and Event based Vision
  • Embedded Systems for Vision, Audio and Multimodal AI

    Emerging Topics and Cross disciplinary Areas

  • Quantum Signal and Image Processing
  • Environmental and Climate related Signal Processing
  • Social Signal Processing and Affective Computing
  • Robotics Perception and Robot Learning
  • AR/VR/MR Imaging and Perception
  • AI for Physical Sciences (SciML: Physics, Materials, Climate, Astronomy)
  • AI for Neuroscience and Cognitive Signal Processing
  • Tactile, Olfactory and Novel Sensor Modalities

    Applications

  • Autonomous Vehicles and Intelligent Transportation
  • Smart Cities and IoT Sensing
  • Industrial Inspection and Automation
  • Surveillance, Monitoring and Activity Recognition
  • Multimedia Processing and Content Understanding
  • Robotics, UAVs and Drone Imaging
  • Scientific Imaging and Simulation

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 11, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).


Selected papers from SIPRO 2026, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: April 11, 2026
Authors Notification: May 23, 2026
Final Manuscript Due: May 30, 2026

Co - Located Event

***** The invited talk proposals can be submitted to sipro@emsa2026.org

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