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Held in conjunction with CVPR2026 (Denver), June 3 – 7, 2026
Main Theme: Low-Power Computing for Embedded Vision
Organized by: Matteo Poggi, Tse-Wei Chen, Branislav Kisacanin, Ahmed Nabil Belbachir, Marius Leordeanu

Description

Embedded vision is an active field of research, bringing together efficient learning models with fast computer vision and pattern recognition algorithms, to tackle many areas of robotics and intelligent systems that are enjoying an impressive growth today. Such strong impact comes with many challenges that stem from the difficulty of understanding complex visual scenes under the tight computational constraints required by real-time solutions on embedded devices. The Embedded Vision Workshop will provide a venue for discussing these challenges by bringing together researchers and practitioners from the different fields outlined above.

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Program

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Important Dates

Paper submission: March 8, 2026
Review assignment: March 12, 2026
Review deadline: March 27, 2026
Decisions: March 29, 2026
Notification of acceptance: March 31, 2026
Camera-ready submission: April 7, 2026

Please refer to Submission page for details.
The accepted papers will be published in the proceeding, along with the ICCV main conference, indexed in EI Compendex.
CMT3 Site:
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.

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Invited Talk #1

Invited Talk #2

Invited Talk #3

Invited Talk #4

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Topics

• Agentic AI at the edge
• Embodied AI
• Lightweight and efficient computer vision algorithms for embedded systems
• Hardware dedicated to embedded vision systems (GPUs, FPGAs, DSPs, etc.)
• Software platforms for embedded vision systems
• Neuromorphic computing
• Applications of embedded vision systems in general domains: UAVs (industrial, mobile and consumer), Advanced assistance systems and autonomous navigation frameworks, Augmented and Virtual Reality, Robotics.
• New trends and challenges in embedded visual processing
• Analysis of vision problems specific to embedded systems
• Analysis of embedded systems issues specific to computer vision
• Biologically-inspired vision and embedded systems
• Hardware and software enhancements that impact vision applications
• Performance metrics for evaluating embedded systems
• Hybrid embedded systems combining vision and other sensor modalities
• Embedded vision systems applied to new domains

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Committee

Program Chair:
Matteo Poggi, University of Bologna

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Sponsors

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Steering Committee:
Marilyn Claire Wolf, University of Nebraska-Lincoln
Martin Humenberger, NAVER LABS Europe
Roland Brockers, Jet Propulsion Laboratory
Swarup Medasani, MathWorks
Stefano Mattoccia, University of Bologna
Jagadeesh Sankaran, Nvidia
Goksel Dedeoglu, Perceptonic
Margrit Gelautz, Vienna University of Technology
Branislav Kisacanin, Nvidia
Sek Chai, Latent AI
Zoran Nikolic, Nvidia
Ravi Satzoda, Nauto
Stephan Weiss, University of Klagenfurt

Program Committee:
Dragos Costea, University Politehnica of Bucharest
Assia Belbachir, NORCE Norwegian Research Centre
Fahim Hasan Khan, California Polytechnic State University, San Luis Obispo
Florin Condrea, Siemens Corporate Research
Mihai Masala, The Institute of Mathematics of the Romanian Academy (IMAR)
Dongchao Wen, IEIT SYSTEMS Co., Ltd.
Alina Marcu, The National University of Science and Technology Politehnica Bucharest
Faycal Bensaali, University of Qatar
Sam Lerouxm Ghent University
Omkar Prabhunem Purdue University
Luca Bompani, University of Bologna
Linda M. Wills, Georgia Institute of Technology
Burak Ozer, Pekosoft LLC
Cevahir Cigla, ASELSAN
Natalia Jurado, Latent AI
Branislav Kisacanin, NVIDIA
Wei Tao, Canon Innovative Solution (Beijing) Co., Ltd.