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Hybrid Event

28th - 29th September 2026 | Braga, Portugal

International Conference on Computer Vision and Pattern Recognition (ICCVPR - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCVPR) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computer Vision, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Deep learning for computer vision applications
02
Image processing techniques and innovations
03
Object detection and recognition algorithms
04
3D vision and modeling technologies
05
Augmented reality in computer vision
06
Machine learning for visual data analysis
07
Real-time video processing techniques
08
Ethics in computer vision applications
09
Human-computer interaction in visual systems
10
Applications of computer vision in healthcare
11
Autonomous vehicles and computer vision
12
Facial recognition technologies and challenges
13
Visual data mining and analytics
14
Computer vision for environmental monitoring
15
Robustness in computer vision algorithms
16
Applications in robotics and automation
17
Virtual reality and immersive technologies
18
Computer vision in security systems
19
Trends in pattern recognition research
20
Future directions in computer vision technology

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.