Computer Vision Lab ETH Zürich

What Computer Vision Lab ETH Zürich does

Computer Vision Lab (CVL) is an academic research laboratory within the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich, focused on fundamental and applied research in computer vision and image processing. The lab's stated core technology is computer vision and image processing research; its outputs are scientific publications, conference presentations, and supervised student research at undergraduate and doctoral levels. Its listed personnel include Prof. em. Dr. Luc Van Gool as Professor Emeritus and Publisher of the lab, and Dr. Kristine Haberer as Editor of its website.

The lab is administratively housed at Sternwartstrasse 7, ETF C116–C117, 8092 Zürich, Switzerland, and operates as part of ETH Zurich (Eidgenössische Technische Hochschule Zürich), a public research university founded in 1855. ETH Zurich is the legal and institutional parent. CVL serves a single customer segment — the academic research community — through knowledge transfer via publications and collaborations rather than commercial products.

CVL does not maintain a commercial pricing model or revenue-generating product line. Research activities are funded through university resources, research grants, and institutional support. No funding rounds, partnerships, customers, patents, certifications, or product launches were disclosed in the source data, consistent with its position as a non-commercial university research unit rather than a venture-stage or operating company.

Name

Computer Vision Lab ETH Zürich

Legal name

Eidgenössische Technische Hochschule Zürich

Website

https://vision.ee.ethz.ch

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Short description

Computer Vision Lab ETH Zürich is an academic research laboratory within ETH Zurich's D-ITET department that conducts fundamental and applied research in computer vision and image processing, serving the academic research community through publications and supervised student research.

Ownership category

akta.pro rank

Headquarters

HQ city

Zürich

HQ country

Switzerland

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Infrastructure

Distribution channels1 record

Marketing channels2 records

Core offering

Computer Vision Lab (CVL) is an academic research laboratory within the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zürich that conducts fundamental and applied research in computer vision and image processing. The lab supervises students at undergraduate and doctoral levels, disseminates findings through peer-reviewed publications and conference presentations, and advances the science of visual computing through collaboration with academic and industry partners.

Differentiator

Problem solved

Functional benefit

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Recent moves3 records

Regional players

• TU Munich Computer Vision Group: Technical University of Munich's computer vision group is a leading German academic CV lab. Comparable to CVL in research focus; regional peer given both operate in the German-speaking European research ecosystem.

Direct peers

• INRIA: INRIA is the French national institute for digital science research, with major computer vision research teams. Directly comparable to CVL as a European publicly funded research institution conducting foundational CV and AI research.
• Oxford Visual Geometry Group (VGG): Oxford's VGG is a leading European computer vision research group. Directly comparable to CVL in research focus, academic publishing model, and image recognition / deep learning expertise.
• CMU Robotics Institute: Carnegie Mellon's Robotics Institute conducts major research in computer vision, perception, and autonomous systems. Comparable to CVL as a leading academic research institute with overlapping visual computing research focus.
• MIT CSAIL: MIT's Computer Science and Artificial Intelligence Laboratory is a leading academic research lab in computer vision, AI, and machine learning. Directly comparable to CVL as a top-tier university-affiliated research lab conducting foundational computer vision research.
• Max Planck Institute for Informatics: MPI for Informatics conducts world-class computer vision and computer graphics research. Directly comparable to CVL as a European academic research institute with overlapping research scope and similar publication-driven model.
• UC Berkeley BAIR: Berkeley Artificial Intelligence Research Lab is a leading academic AI/CV research center. Comparable to CVL as a top university-affiliated research lab publishing foundational work in computer vision and machine learning.
• Stanford Vision Lab: Stanford University's dedicated computer vision research group. Directly comparable to CVL as a world-leading academic computer vision lab, with similar research scope, academic publishing model, and PhD training pipeline.

Broad incumbents

• Microsoft Research: Microsoft Research includes substantial computer vision research groups across global labs. Comparable to CVL in core research area but operates as a broad, well-funded industry research organization rather than a focused university lab.
• Google DeepMind: Google DeepMind is a large industry AI research lab with significant computer vision research output. Comparable to CVL in core research domain but operates at much greater scale with commercial mandate rather than academic publishing focus.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights5 records

Customer concentration

• LinkedInlinkedin.com/company/computer-vision-lab

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Computer Vision Lab ETH Zürich