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Janne Heikkilä

Janne Heikkilä

D-Index & Metrics

Computer Science

D-Index
40
Citations
13808
World Ranking
9045
National Ranking
74

Research.com Recognitions

  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision and image analysis

Overview

Janne Heikkilä is affiliated with the University of Oulu in Finland. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Computer Vision and Pattern Recognition, Media Technology, Computer Graphics and Computer-Aided Design, Aerospace Engineering, and Artificial Intelligence.

The main topics of their work include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Optical measurement and interference techniques
  • Image Processing Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • Multimodal Machine Learning Applications

Heikkilä's publication record features numerous papers in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University), with 25 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, with 5 publications
  • Journal of Mathematical Imaging and Vision, with 3 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV), with 2 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), with 2 publications

Notable recent papers by Heikkilä include:

  • "Unbiased Scene Graph Generation via Two-Stage Causal Modeling," 2023, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion," 2021, published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Optimal Correction Cost for Object Detection Evaluation," 2022, published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Causal Adjustment Module for Debiasing Scene Graph Generation," 2025, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "RGBD-Net: Predicting Color and Depth Images for Novel Views Synthesis," 2021, published in 2021 International Conference on 3D Vision (3DV)

Heikkilä has collaborated frequently with other researchers in the field. Their frequent coauthors include:

  • Esa Rahtu, with 25 joint publications
  • Lam Huynh, with 13 joint publications
  • Phong Nguyen-Ha, with 13 joint publications
  • Jiřı́ Matas, with 12 joint publications
  • Snehal Bhayani, with 8 joint publications

Among their recognitions, Heikkilä was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2018 for contributions to 3D computer vision and image analysis.

Best Publications

  • A four-step camera calibration procedure with implicit image correction

    J. Heikkila;O. Silven

  • Blur Insensitive Texture Classification Using Local Phase Quantization

    Ville Ojansivu;Janne Heikkilä

  • Geometric camera calibration using circular control points

    J. Heikkila

  • Segmenting salient objects from images and videos

    Esa Rahtu;Juho Kannala;Mikko Salo;Janne Heikkilä

  • A real-time system for monitoring of cyclists and pedestrians

    Janne Heikkilä;Olli Silvén

  • International Conference on Pattern Recognition

    Neslihan Bayramoglu;Juho Kannala;Janne Heikkilä

  • Deep learning for magnification independent breast cancer histopathology image classification

    Neslihan Bayramoglu;Juho Kannala;Janne Heikkila

  • Recognition of blurred faces using Local Phase Quantization

    T. Ahonen;E. Rahtu;V. Ojansivu;J. Heikkila

  • Fast and efficient saliency detection using sparse sampling and kernel density estimation

    Hamed Rezazadegan Tavakoli;Esa Rahtu;Janne Heikkilä

  • Calibration procedure for short focal length off-the-shelf CCD cameras

    J. Heikkila;O. Silven

  • A Texture-based Method for Detecting Moving Objects

    Marko Heikkilä;Matti Pietikäinen;Janne Heikkilä

  • Accurate and practical calibration of a depth and color camera pair

    C. Daniel Herrera;Juho Kannala;Janne Heikkilä

  • Rotation invariant local phase quantization for blur insensitive texture analysis

    V. Ojansivu;E. Rahtu;J. Heikkila

  • Rethinking the Evaluation of Video Summaries

    Mayu Otani;Yuta Nakashima;Esa Rahtu;Janne Heikkila

  • Human Activity Recognition Using Sequences of Postures

    Vili Kellokumpu;Matti Pietikäinen;Janne Heikkilä

  • Affine invariant pattern recognition using multiscale autoconvolution

    E. Rahtu;M. Salo;J. Heikkila

  • Face and Eye Detection for Person Authentication in Mobile Phones

    A. Hadid;J.Y. Heikkila;O. Silven;M. Pietikainen

  • Video Summarization Using Deep Semantic Features

    Mayu Otani;Yuta Nakashima;Esa Rahtu;Janne Heikkilä

  • Local phase quantization for blur-insensitive image analysis

    Esa Rahtu;Janne Heikkilä;Ville Ojansivu;Timo Ahonen

  • Guiding Monocular Depth Estimation Using Depth-Attention Volume

    Lam Huynh;Phong Nguyen-Ha;Jiri Matas;Esa Rahtu

Frequent Co-Authors

Juho Kannala
Juho Kannala Aalto University
Esa Rahtu
Esa Rahtu Tampere University
Jiri Matas
Jiri Matas Czech Technical University in Prague
Simo Särkkä
Simo Särkkä Aalto University
Matti Pietikäinen
Matti Pietikäinen University of Oulu
Jan Flusser
Jan Flusser Institute of Information Theory and Automation
Naokazu Yokoya
Naokazu Yokoya Nara Institute of Science and Technology
Nasir M. Rajpoot
Nasir M. Rajpoot University of Warwick
Seppo Vainio
Seppo Vainio University of Oulu
Vesa Kiviniemi
Vesa Kiviniemi Oulu University Hospital

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