ICIPVS2025

Date: 7th-8th November, 2025
Venue:
Department of Computer Science Engineering, IIMT, Bhubaneswar.
 

Impotant Date

Opening of Paper Submission site : 2nd April, 2025
Last Date of Paper Submission: 30th August, 2025
Notification of Acceptance/Rejection: 12th September, 2025
Camera Ready Submission: 30th September, 2025
Last Date of Registration: 9th October, 2025
Date of Conference: 7th – 8th November, 2025
 

Call For Papers

Aims & Scope

A wide range of topics in the image understanding area is covered but not limited to the following:

ICIPVS-2024 invites submissions in different areas of research but not limited to:

Image Processing Techniques

  • Image Enhancement
  • Image Restoration
  • Image Segmentation
  • Image Compression
  • Image Fusion
  • Super-resolution Imaging
  • Noise Reduction Techniques
  • Morphological Image Processing
  • Color Image Processing
  • Multi-scale and Multi-resolution Techniques

Computer Vision Algorithms

  • Object Detection and Recognition
  • Object Tracking
  • 3D Vision
  • Feature Extraction and Matching
  • Scene Understanding
  • Visual Navigation
  • Video Analysis and Understanding
  • Face Recognition and Analysis
  • Gesture Recognition
  • Computational Photography

Medical Image Analysis

  • Medical Image Segmentation
  • Image Registration
  • Computer-Aided Diagnosis
  • Radiomics and Radiogenomics
  • Image-Based Biomarkers
  • Surgical Navigation
  • Deep Learning in Medical Imaging
  • Quantitative Imaging
  • Image-Based Treatment Planning

Remote Sensing Applications

  • Satellite Image Analysis
  • Hyperspectral Image Processing
  • Synthetic Aperture Radar (SAR) Imaging
  • Environmental Monitoring
  • Land Cover Classification
  • Change Detection
  • Urban Remote Sensing
  • Agriculture and Forestry Applications
  • Oceanographic Image Analysis
  • Disaster Management and Response

Robotics Vision

  • Visual Perception for Robots
  • Object Manipulation and Grasping
  • Visual SLAM (Simultaneous Localization and Mapping)
  • Vision-Based Navigation
  • Human-Robot Interaction
  • Scene Understanding for Robotics
  • Robot Vision Systems
  • Vision-Based Object Tracking for Robots
  • Autonomous Vehicle Vision Systems
  • Vision-Based Robot Learning

Augmented Reality

  • Markerless Tracking
  • Augmented Reality Applications
  • User Interface Design for AR
  • AR in Healthcare and Medicine
  • AR in Education and Training
  • Indoor Navigation using AR
  • Mobile AR Technologies
  • AR Content Creation and Authoring Tools
  • Social and Collaborative AR
  • AR Visualization Techniques

Human Vision and Perception

  • Visual Psychophysics
  • Visual Attention and Eye Tracking
  • Color Perception
  • Depth Perception
  • Visual Illusions
  • Perceptual Organization
  • Visual Cognition
  • Visual Memory
  • Cognitive Neuroscience of Vision
  • Visual Disorders and Rehabilitation

Machine Learning in Vision Science

  • Deep Learning for Image Analysis
  • Convolutional Neural Networks (CNNs)
  • Generative Adversarial Networks (GANs)
  • Transfer Learning in Vision Tasks
  • Reinforcement Learning for Vision
  • Semi-supervised and Unsupervised Learning
  • Interpretability and Explainability of ML Models
  • Meta-learning Approaches
  • Hybrid Models Combining ML and Traditional Vision Techniques
  • Ethical and Bias Considerations in ML for Vision