Welcome to SIPP 2026

14th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2026)

November 21 ~ 22, 2026, London, United Kingdom

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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London, United Kingdom

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Scope

14th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2026) is a forum for presenting new advances and research results in the fields of Signal and Image Processing. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. .

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Call for Papers


14th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2026) is a forum for presenting new advances and research results in the fields of Signal and Image Processing. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to..

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


  • Analog, Digital and Mixed Signal Processing
  • Array Signal Processing
  • Sensor Array and Multi Channel Processing
  • Time Frequency and Time Scale Analysis
  • Spectral Analysis
  • Nonlinear Signals and Systems
  • Signal Reconstruction and Denoising
  • Adaptive Filtering and Filter Design
  • Multidimensional Signal Processing
  • Graph Signal Processing
  • Speech and Audio Processing
  • Speech Enhancement and Separation
  • Music Information Retrieval
  • Audio Event Detection
  • Speech Foundation Models
  • Audio Language Models
  • Spatial Audio and 3D Sound Reconstruction
  • Image Processing and Understanding
  • Video Signal Processing
  • Video Compression and Streaming
  • Video Analysis and Event Recognition
  • Image Coding and Neural Compression
  • Image Acquisition and Reconstruction
  • Color, Texture and Appearance Modeling
  • AI Driven Super Resolution
  • Diffusion Models for Image/Video Restoration
  • Diffusion Transformers
  • Computer Vision
  • Object Detection and Recognition
  • Face and Gesture Recognition
  • Biometrics
  • Pattern Recognition and Analysis
  • Pattern Recognition in New Modalities
  • Vision Transformers (ViT)
  • Deep Vision Models
  • 3D Vision and Multi View Geometry
  • 3D Reconstruction and Surface Modeling
  • Motion Tracking and Structure from Motion
  • NeRFs and Neural Rendering
  • Real Time NeRF / NeRF 2.0
  • 3D Gaussian Splatting
  • 4D Reconstruction and Dynamic Scene Modeling
  • Biomedical Imaging
  • Medical Image Analysis
  • Remote Sensing and Earth Observation
  • SAR and Hyperspectral Imaging
  • Foundation Models for Remote Sensing
  • Multi Temporal Change Detection
  • Radar, Sonar and Seismic Processing
  • Scientific Imaging
  • Physics Informed Neural Networks (PINNs)
  • Machine Learning for Signal and Image Processing
  • Deep Learning for Signals and Vision
  • Statistical Learning
  • Bayesian and Probabilistic Signal Processing
  • Self Supervised Vision
  • Foundation Models for Vision
  • Vision Language Models (VLMs)
  • Video Large Language Models (V LLMs)
  • Sparse Coding with Deep Models
  • PDE Based Image Processing
  • Knowledge Representation and High Level Vision
  • Multimodal Signal Processing
  • Generative Models for Signals and Images
  • Video Diffusion Models
  • Video Editing with Diffusion Models
  • Action Recognition and Activity Forecasting
  • Long Video Understanding and Temporal Reasoning
  • AI for Surveillance and Smart Cities
  • Real Time and Streaming Signal Processing
  • Edge AI for Vision and Signal Processing
  • DSP Implementation and Embedded Systems
  • Hardware Acceleration (GPU/TPU/FPGA)
  • AI Accelerators for Vision
  • Distributed and Mobile Signal Processing
  • Performance Evaluation and Benchmarking
  • Digital Watermarking and Steganography
  • Image and Video Forensics
  • Deepfake Detection
  • Adversarial Attacks and Robust Vision
  • AI Generated Content Forensics
  • Watermarking for AI Generated Media
  • Document AI and OCR
  • Content Based Image and Video Retrieval
  • Visualization
  • VR/AR for Vision and Imaging

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 22, 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).

Important Dates

Submission Deadline

August 22, 2026

Authors Notification

October 24, 2026

Registration & camera - Ready Paper Due

October 31, 2026

Proceedings

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

Sponsors