Juho Kannala
Department of Computer Science

Juho Kannala

Assistant Professor

Contact information

Postal address
Aalto SCI Computer Science Konemiehentie 2
Full researcher profile
https://research.aalto.fi/...

Description

Prof. Juho Kannala (PhD 2010) is an Assistant Professor and Academy Research Fellow at Aalto University. He is also a Co-Founder and Technical Advisor of IndoorAtlas Ltd. He defended his PhD thesis in 2010 in the University of Oulu. From 2011 until 2014 he was a postdoctoral researcher funded by the Academy of Finland. In 2012 he was a visiting researcher in INRIA Grenoble working with Dr. Peter Sturm and in 2014 he visited the Mathematical Imaging Group at Lund University. His scientific research is focused on computer vision and covers geometric aspects in 3D vision as well as topics in recognition and semantic image analysis. His work on geometric camera calibration is widely cited and the related software is used by researchers and practitioners worldwide. He has authored or co-authored more than 70 peer-reviewed scientific articles and his H-index is 18 according to Google Scholar.

Areas of expertise

computer vision machine learning

Honors and awards

Award or honor granted for academic career
Professorship Kannala J.
Jan 2013

Primus Young Doctor in the Conferment Seremony of the University of Oulu

Award or honor granted for a specific work
Department of Computer Science
Jan 2017

Tobii best paper award Robust and Practical Depth Map Fusion for Time-of-Flight Cameras, http://scia2017.org/best%20paper.html

Research groups

Professorship Kannala J., Assistant Professor

Publications

Professorship Kannala J., Department of Computer Science, School services, SCI, Centre of Excellence in Computational Inference, COIN

Geometric Image Correspondence Verification by Dense Pixel Matching

Publishing year: 2020 IEEE Winter Conference on Applications of Computer Vision
Professorship Kannala J., Department of Computer Science, Professorship Kaski S., Centre of Excellence in Computational Inference, COIN

Semantic matching by weakly supervised 2D point set registration

Publishing year: 2019 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV)
Professorship Kannala J., Department of Computer Science

DGC-Net

Publishing year: 2019 Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019
Professorship Kannala J., Department of Computer Science, Department of Electrical Engineering and Automation, Sensor Informatics and Medical Technology

Gyroscope-aided motion deblurring with deep networks

Publishing year: 2019 Proceedings of the 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019
Professorship Kaski S., Centre of Excellence in Computational Inference, COIN, Department of Computer Science, Professorship Kannala J.

Digging deeper into egocentric gaze prediction

Publishing year: 2019 Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019
Department of Computer Science, Professorship Kannala J., Professorship Solin A.

Unstructured Multi-view Depth Estimation Using Mask-Based Multiplane Representation

Publishing year: 2019 Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
Department of Computer Science, Professorship Kannala J.

CubiCasa5K

Publishing year: 2019 Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
Department of Computer Science, Professorship Kannala J., Professorship Solin A.

Pioneer Networks

Publishing year: 2019 Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers
Professorship Kannala J., Department of Computer Science

Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization

Publishing year: 2019 Computer Vision – ECCV 2018 Workshops
Centre of Excellence in Computational Inference, COIN, Department of Signal Processing and Acoustics, Department of Computer Science, Professorship Kannala J.

Devon: Deformable Volume Network for Learning Optical Flow

Publishing year: 2019 Computer Vision – ECCV 2018 Workshops