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

Program Committee

Accepted Papers

Copenhagen, Denmark

Scope

The 12^th 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.

Call for Papers

This conference brings together leading scientists, engineers, and scholars from around the world to exchange ideas, foster collaborations, and explore breakthroughs that are redefining the boundaries of the discipline. With a scope that spans classical signal processing, cutting edge machine learning, multimodal AI, 3D/4D vision, biomedical imaging, remote sensing, and emerging cross disciplinary domains, SIPRO 2026 reflects the full breadth and depth of contemporary research.

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 June 13, 2026(Final Call). 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 journal.

Important Dates

Second Batch : submissions after May 11, 2026

Submission Deadline

June 13, 2026(Final Call)

Authors Notification

June 20, 2026

Registration & camera - Ready Paper Due

June 22, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to SIPRO 2026