International Conference on Computer Vision and Intelligent Systems
(ICCVIS-26)

24th October 2026 || Hyderabad - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Computer Vision and Intelligent Systems (ICCVIS), scheduled to be held on 24th October 2026 in Hyderabad, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Vision Engineering.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Deep Learning for Computer Vision
    This track focuses on the latest developments in deep learning algorithms specifically tailored for computer vision applications. Researchers are invited to present novel architectures and techniques that enhance image classification and feature representation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
  • Track 02 – Intelligent Systems for Visual Perception
    This session explores the integration of intelligent systems in enhancing visual perception capabilities. Contributions that demonstrate the application of AI in interpreting and understanding visual data are highly encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 03 – 3D Vision Systems: Techniques and Applications
    This track addresses the challenges and innovations in 3D vision systems, including depth estimation and spatial understanding. Papers discussing real-world applications and theoretical advancements in 3D vision are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Automated Vision Systems: Design and Implementation
    This session highlights the design and implementation of automated vision systems across various industries. Contributions that showcase practical applications and system integration are particularly sought after. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Next-Generation Computer Vision Frameworks
    This track invites discussions on emerging frameworks that push the boundaries of traditional computer vision methodologies. Researchers are encouraged to present innovative approaches that leverage cutting-edge technologies. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
  • Track 06 – Feature Representation in Computer Vision
    This session delves into the critical aspect of feature representation in computer vision tasks. Papers that propose new methods for effective feature extraction and representation are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 07 – Intelligent Pattern Recognition Techniques
    This track focuses on the development and application of intelligent pattern recognition techniques in various domains. Contributions that demonstrate the effectiveness of these techniques in real-world scenarios are welcome. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 4 – Quality Education
  • Track 08 – AI-Driven Innovations in Image Classification
    This session explores the role of artificial intelligence in advancing image classification methodologies. Researchers are invited to present novel AI-driven approaches that improve accuracy and efficiency in classification tasks. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 09 – Visual Data Processing and Analysis
    This track emphasizes the importance of visual data processing and analysis in computer vision. Contributions that address challenges in data handling and processing techniques are highly encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 10 – Reduced Inequalities
  • Track 10 – Ethical Considerations in Computer Vision Applications
    This session addresses the ethical implications and considerations surrounding the deployment of computer vision technologies. Papers that discuss responsible AI practices and societal impacts are particularly relevant. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 10 – Reduced Inequalities
  • Track 11 – Collaborative Approaches in Vision Engineering
    This track highlights the importance of collaboration across disciplines in advancing vision engineering. Contributions that showcase interdisciplinary research and partnerships are encouraged. Aligned SDGs: SDG 17 – Partnerships for the Goals  |  SDG 4 – Quality Education
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 10 SDG 10
    Reduced Inequalities
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

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