International Conference on Machine Learning for Image Processing and Computer Vision - (ICMLIPCV-27)


17th - 18th February, 2027 | Tianjin, China

Multi-format (In-person/Virtual)

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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme organised around conference-aligned SDGs and their mapped Session Tracks.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 17–18 February 2027
Academic Scope 11 Tracks Conference Session Tracks
Agenda Structure 4 SDG Sessions SDG-focused technical sessions
Conference SDG Alignment 5 SDGs SDGs 3, 4, 9, 11 and 12
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

SDG-Based Agenda Structure

The conference-aligned SDGs are distributed across the four Concurrent Technical Sessions and show the conference's overall SDG alignment for each part of the programme. Session Tracks follow their own sequence and are scheduled once.

Day 01

Conference Schedule

17 FEB 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM
    Concurrent Technical Session I

    SDG 3 · Good Health and Well-being

    3 TRACKS
    Track 01
    Advancements in Deep Learning for Image Processing
    Track 02
    Neural Networks for Computer Vision Applications
    Track 03
    Feature Extraction Techniques in Data Science
  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM
    Concurrent Technical Session II

    SDG 4 · Quality Education

    3 TRACKS
    Track 04
    Pattern Recognition and Classification Algorithms
    Track 05
    Object Detection: Challenges and Solutions
    Track 06
    Segmentation Techniques in Medical Imaging
  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
View Day 02 Schedule →
Day 02

Conference Schedule

18 FEB 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM
    Concurrent Technical Session III

    SDG 9 · Industry, Innovation and Infrastructure

    3 TRACKS
    Track 07
    Simulation and Optimization in Computational Science
    Track 08
    Big Data Analytics in Image Processing
    Track 09
    Automation in Image Analysis
  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM
    Concurrent Technical Session IV

    SDG 11 · Sustainable Cities and Communities ·SDG 12 · Responsible Consumption and Production

    2 TRACKS
    Track 10
    Quantitative Methods in Machine Learning
    Track 11
    Applications of AI in Computer Vision
  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
← Back to Day 01 Schedule
Conference-Aligned SDGs The conference aligns with the following United Nations Sustainable Development Goals.
3 Good Health and Well-being 4 Quality Education 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production

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