14th Israel Machine Vision Conference (IMVC) 2025

Tuesday|April 1, 2025

Pavilion 10, EXPO Tel Aviv

Agenda

IMVC 2025 will feature presentations by leading researchers in AI, with a focus on image and video processing, computer vision, machine learning, and deep learning. Attendees can expect visionary insights and cutting-edge developments from both academia and industry, showcasing the latest trends in artificial intelligence and its applications.

 

Exhibition

IMVC is the premier platform for companies shaping the future of AI. Discover the latest advancements in machine vision and machine learning, and connect with experts, entrepreneurs, developers, and engineers. Join us in Tel Aviv to forge collaborations, explore ongoing trends, and witness new applications in the field.

Topics

Computer Vision | Deep Learning
Artificial Intelligence (AI) |
Generative AI (GenAI) | AutoML/MLOP
Data Augmentation | Data Fusion
Vision in Autonomous Systems |
Medical Imaging | Augmented Reality (AR) | Virtual Reality (VR)
Pattern Recognition | Computational
Photography | Robotics Embedded
Vision | Image Formation
Optics and Sensors | Metrology Vision
Mathematical Foundation of DL |
...and many more

Keynote Speaker

  • Yonina Eldar

    The Weizmann Institute of Science

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  • Dean Leitersdorf

    Decart

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Yonina Eldar

The dept. of Mathematics and Computer ScienceThe Weizmann Institute of Science

Bio:

Prof. Yonina C. Eldar is renowned for her pioneering contributions to signal processing and sampling theory. She currently serves as a Professor in the Department of Mathematics and Computer Science at the Weizmann Institute of Science, where she holds the Dorothy and Patrick Gorman Professorial Chair and leads the Center for Biomedical Engineering.

Prof. Eldar's innovative research has significantly advanced sub-Nyquist sampling techniques, enabling more efficient data acquisition across various applications, including medical imaging and communications. Her work has garnered numerous accolades, such as the IEEE Signal Processing Society Technical Achievement Award and the IEEE Kiyo Tomiyasu Award, underscoring her impact on the field.

Beyond her research, Prof. Eldar is dedicated to education and mentorship, having authored several influential books and over 475 journal articles. She is a member of the Israel Academy of Sciences and Humanities and a Fellow of both IEEE and EURASIP, reflecting her esteemed standing in the scientific community.

Her leadership extends to various academic and professional committees, where she has played a pivotal role in shaping the future of signal processing and its applications. Prof. Eldar's commitment to advancing technology and fostering innovation continues to inspire researchers and practitioners worldwide

Title:

Model-based Learning

Abstract:

Dean Leitersdorf

Co-Founder & CEO Decart

Bio:

Dean Leitersdorf is a name rapidly gaining recognition in the tech world, and for good reasonAt the age of 23, he has already earned a PhD in computer science from the Technion and co-founded Decart, a revolutionary AI startup redefining the landscape of generative technology.

 

Decart’s innovation lies in its groundbreaking AI platform, which reduces the cost of running and training AI models by ten times—a development that has put the company on the radar of global tech giants. Their platform delivers real-time generative capabilities that include creating fully playable AI-generated video game worlds. This marks a transformative step forward in AI infrastructure.

 

Within its first year, Decart has garnered significant backing from industry giants like Sequoia Capital and Benchmark, reflecting its transformative potential. The company’s rapid growth and innovative technology position it as a serious contender alongside industry leaders like OpenAI. Dean’s vision and leadership have been pivotal in this success, cementing his role as a key figure shaping the future of artificial intelligence.

Title:

Turning Israel into a Global Leader in Building Foundation Models for Computer Vision

Abstract:

A Taste from IMVC 2024