12th International Conference on Image Processing and Pattern Recognition (IPPR 2026)

Memo

12th International Conference on Image Processing and Pattern Recognition (IPPR 2026) July 25-26, 2026, Toronto, Canada https://csit2026.org/ippr/index Scope & Topics The 12th International Conference on Image Processing and Pattern Recognition (IPPR 2026) serves as a premier global forum for presenting the latest advances, research innovations, and emerging trends in Digital Image Processing, Computer Vision, and Pattern Recognition. As these fields continue to evolve rapidly—driven by breakthroughs in deep learning, generative models, multimodal AI, 3D vision, and advanced sensing—IPPR 2026 brings together leading researchers, engineers, and scientists from around the world to exchange ideas, foster collaboration, and showcase cutting‑edge developments.<br> The conference welcomes contributions that span the full spectrum of theoretical foundations, algorithmic innovations, and practical applications. From fundamental image processing techniques to next‑generation vision systems, from neural rendering and multimodal perception to medical imaging and scientific discovery, IPPR 2026 aims to highlight impactful research that pushes the boundaries of what intelligent visual systems can achieve.   Authors are invited to submit high‑quality papers that present original research results, innovative projects, survey studies, and industrial experiences demonstrating significant advances in Image Processing, Computer Vision, Pattern Recognition, and related fields. Submissions may address theoretical contributions, methodological developments, experimental evaluations, or application‑driven research. Topics of interest include, but are not limited to, the following:Image Enhancement, Restoration and Super Resolution Image Coding, Compression and Learned Compression Image Segmentation, Matting and Contour Detection Denoising, Deblurring and Inverse Problems Computational Photography and Computational Optics HDR Imaging, Low Light Imaging and Reflectance Modeling PDE Based Image Processing and Variational Methods Physics Informed Imaging and Model Based Deep Learning AI Designed Optics, Coded Aperture Imaging and Diffractive Neural Networks Computer Vision and Scene UnderstandingObject Detection, Recognition and Categorization Semantic, Instance and Panoptic Segmentation 3D Vision, 3D Reconstruction and Neural Radiance Fields (NeRFs) 3D Gaussian Splatting and Real Time Neural Rendering Multi View Geometry, Stereo Vision and Structure from Motion SLAM, Visual Odometry and Scene Mapping Vision Transformers (ViT, Swin, Mamba Vision) Cognitive and Biologically Inspired Vision Neuro Symbolic Vision and Scene Reasoning   Deep Learning Architectures for Vision Generative AI (GANs, Diffusion Models, Autoregressive Models) Video Diffusion Models and Generative Video Synthesis Foundation Models for Vision and Multimodal Tasks Vision Language Models (CLIP, BLIP, LLaVA, VLMs) Vision Language Action (VLA) Models and Embodied Perception Self Supervised, Weakly Supervised and Semi Supervised Learning Continual Learning, Lifelong Learning and Domain Adaptation Neural Rendering, Implicit Neural Fields and Neural Light Transport Pattern Recognition and Machine IntelligenceStatistical Learning and Pattern Recognition Biometrics (Face, Iris, Gait, Fingerprint) Document Analysis, OCR and Handwriting Recognition Shape Analysis, Feature Extraction and Representation Learning Pattern Recognition in New Modalities (Thermal, Hyperspectral, Event Cameras) Knowledge Driven Vision and Semantic ReasoningMedical, Biological and Scientific Imaging Medical Image Analysis (MRI, CT, Ultrasound, PET, X ray) Medical Foundation Models and Cross Modality Imaging Computational Pathology and Microscopy Foundation Models Radiomics, Image Guided Diagnosis and Surgical Vision Bioinformatics Driven Imaging and Genomic Imaging Vision for Materials Science, Physics and Scientific Discovery   Signal Processing, Audio and Multidimensional DataAudio, Speech and Acoustic Signal Processing Time Frequency and Time Scale Analysis Multidimensional Signal Processing and Tensor Methods Nonlinear Signals and Systems Sensor Array Processing and Multi Channel Signal Processing Distributed Source Coding and Signal Reconstruction Learned Signal Processing and Neural DSP Video Processing, Analysis and Understanding Video Compression, Streaming and Transmission Video Super Resolution, Frame Interpolation and Restoration Video Object Tracking, Motion Analysis and Event Recognition Video Surveillance, Activity Recognition and Behavior Understanding Video Language Models and Video Text Understanding Video Agents and Long Horizon Temporal Reasoning 4D Vision, Dynamic Scene Reconstruction and Motion FieldsRemote Sensing, Earth Observation and Geospatial Vision Satellite and Aerial Image Processing Hyperspectral and Multispectral Imaging SAR, Radar and Sonar Signal Processing Geospatial Vision, Mapping and Positioning Foundation Models for Remote Sensing Environmental Monitoring and Climate Driven Vision ApplicationsEmerging Modalities and Advanced SensingEvent Based Vision and Neuromorphic Imaging Spiking Neural Networks for Vision Light Field Imaging, Plenoptic Cameras and Holography Thermal, Infrared and Hyperspectral Imaging LiDAR, Depth Sensors and Range Imaging Multimodal Sensor FusionSecurity, Privacy and Ethical Vision SystemsWatermarking, Steganography and Digital Forensics Adversarial Attacks, Robustness and Secure Vision Models Deepfake Detection and Synthetic Media Forensics Synthetic Identity Detection and Content Provenance Privacy Preserving Vision and Federated Learning Bias, Fairness and Responsible Vision SystemsVision Applications and Industry Use CasesAutonomous Driving, Robotics and Intelligent Transportation BEV Perception, Occupancy Networks and Trajectory Prediction AR/VR/MR, Metaverse and Immersive Vision Systems Smart Cities, IoT Vision and Edge AI Vision Systems Industrial Inspection, Manufacturing and Quality Control Retail, Agriculture, Sports Analytics and Cultural Heritage Vision for Digital Twins and Simulation Driven EnvironmentsHardware, Systems and Real Time VisionDSP Implementation and Embedded Vision Systems Hardware Acceleration (GPU, FPGA, ASIC, NPU) Real Time Vision Systems and Low Latency Processing Energy Efficient Vision and TinyML for Imaging Edge Computing for Vision and Distributed Vision Systems Vision Centric Robotics Systems   Paper Submission Authors are invited to submit papers through the conference Submission System by May 09, 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 IPPR 2026, after further revisions, will be published in the special issues of the following journals Signal & Image Processing : An International Journal (SIPIJ) International Journal of VLSI design & Communication Systems (VLSICS) International Journal of Embedded Systems and Applications (IJESA) International Journal on Organic Electronics (IJOE) Information Technology in Industry (ITII)Important Dates Submission Deadline: May 09, 2026 Authors Notification: May 23, 2026 Registration & camera – Ready Paper Due: May 30, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. 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