Juho Kannala

69 papers receiving 3.2k citations

Hit Papers

A generic camera model and calibration method for convent...200620262012201920062012201220162025200400600

Peers

Juho Kannala
Comparison fields: 5 of 138
  • Computer Vision and Pattern Recognition 2.4k
  • Aerospace Engineering 986
  • Artificial Intelligence 712
  • Media Technology 360
  • Radiology, Nuclear Medicine and Imaging 308
Replace Andrew Calway with:
Andrew Calway United Kingdom
Janne Heikkilä Finland
Kim L. Boyer United States
Carsten Steger Germany
Toby P. Breckon United Kingdom
Eddy Ilg Germany
Yee‐Hong Yang Canada
Caner Hazırbaş Germany
Kristin Dana United States
Bharath Hariharan United States
Juho Kannala relative to Andrew Calway United Kingdom Andrew Calway's profile →
Citations per field
00.5×1.5×2.3×
Andrew Calway · 1×
Citations per year

Countries citing papers authored by Juho Kannala

Since Specialization
Citations

This map shows the geographic impact of Juho Kannala's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Juho Kannala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juho Kannala more than expected).

Fields of papers citing papers by Juho Kannala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juho Kannala. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Juho Kannala. The network helps show where Juho Kannala may publish in the future.

Co-authorship network of co-authors of Juho Kannala

This figure shows the co-authorship network connecting the top 25 collaborators of Juho Kannala. A scholar is included among the top collaborators of Juho Kannala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juho Kannala. Juho Kannala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 12
3 2
4 11
5 0
6 2
7 146
8 75
9
Gyroscope-aided motion deblurring with deep networks
26
10 70
11
Accurate 3-D reconstruction with RGB-D cameras using depth map fusion and pose refinement
4
12
Fast motion deblurring for feature detection and matching using inertial measurements
11
13 46
14
LSD$_2$ - Joint Denoising and Deblurring of Short and Long Exposure Images with Convolutional Neural Networks
4
15 128
16 27
17 32
18
Bsif: Binarized statistical image featuresbreakdown →
374
19
Joint Depth and Color Camera Calibration with Distortion Correctionbreakdown →
316
20
Measuring the shape of sewer pipes from video
4

About Juho Kannala

Juho Kannala is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 75 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (31 papers), Advanced Image and Video Retrieval Techniques (28 papers) and Robotics and Sensor-Based Localization (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Geology (271 citations) and Media Technology (360 citations). Juho Kannala has collaborated with scholars based in Finland, Switzerland and United Kingdom. Frequent co-authors include Esa Rahtu, Sami S. Brandt, Janne Heikkilä, Iaroslav Melekhov, Neslihan Bayramoğlu, Daniel Herrera C., Saad Ullah Akram, Juha Ylioinas, Matthew B. Blaschko and Arno Solin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Physics Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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