PeopleofSuperintelligence

Researcher

Janne Heikkilä

Also known as Janne T. Heikkilä

Janne Heikkilä is a computer vision researcher at the University of Oulu whose work covers 3D computer vision, image analysis and machine learning. He works at Oulu from 1992, earns a Doctor of Science in Technology there in 1998, and becomes a professor in machine vision and digital video processing in 2015. His research spans 6D object pose estimation and biomedical image analysis, and he becomes an IAPR Fellow in 2018. As of October 2026, he is a professor and director of the Center for Machine Vision and Signal Analysis.

Works
235
Citations
10,412
h-index
41
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1992

    University assistant at Oulu

    At the University of Oulu, he works as a university assistant and postdoctoral researcher from 1992.

  2. 1998

    A doctorate in technology

    He earns a Doctor of Science in Technology at the University of Oulu in 1998.

  3. 2000–2010

    Temporary professorships

    He holds temporary professorships at Oulu from 2000 and serves as a fixed-term professor of information technology from 2010.

  4. 2015

    Professor in machine vision

    In January 2015, Oulu appoints him professor of information technology in machine vision and digital video processing.

  5. 2018

    An IAPR fellowship

    He becomes an IAPR Fellow in 2018 for contributions to 3D computer vision and image analysis.

  6. 2022

    Two 6D pose papers

    In 2022, he coauthors OVE6D, which estimates a 6D object pose from a single depth image and an object mask. The SC6D paper presents a symmetry-agnostic, correspondence-free framework for estimating 6D pose from a single monocular RGB image.

  7. November 2025

    Custos at an Oulu defense

    At Shuzhou Sun's University of Oulu doctoral defense on scene graph generation, he serves as custos in November 2025.

  8. As of October 2026

    Professor and center director

    At the University of Oulu, he is a professor and computer vision researcher in the Computer Science and Engineering unit, and he directs the Center for Machine Vision and Signal Analysis. His interests include 3D computer vision, biomedical image analysis, machine learning and deep neural networks.

Career

  1. Since 1992University of OuluUniversity assistant and postdoctoral researcher
  2. 2000–2009Infotech Oulu

Education

  1. 1998University of OuluDoctor of Science in Technology

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. A four-step camera calibration procedure with implicit image correction2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2,051 citations
  2. Blur Insensitive Texture Classification Using Local Phase Quantization2008 · Lecture notes in computer science · 1,043 citations
  3. Geometric camera calibration using circular control points2000 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 873 citations
  4. Segmenting Salient Objects from Images and Videos2010 · Lecture notes in computer science · 528 citations
  5. Deep learning for magnification independent breast cancer histopathology image classification2016 · International Conference on Pattern Recognition · 468 citations

From OpenAlex, as of 21 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Oulu. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Oulu. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. The United States employs an estimated 48% of people shaping AIWe estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Professorinimityksiä Oulun yliopiston tieto- ja sähkötekniikan tiedekunnassa - ePressi epressi.com. Checked 21 October 2026.
  2. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 21 October 2026.
  3. [2203.01072] OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation arxiv.org. Checked 21 October 2026.
  4. [2208.02129] SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation arxiv.org. Checked 21 October 2026.
  5. Toward scalable and unbiased scene graph generation: Active learning and causal inference perspectives | University of Oulu oulu.fi. Checked 21 October 2026.
  6. Janne Heikkilä | University of Oulu oulu.fi. Checked 21 October 2026.