28 citations · 65 across the 8 of their papers we have counts for
4 papers · 1 filter
Gyroscope-Aided Motion Deblurring with Deep Networks
Janne Mustaniemi, Juho Kannala, Simo Särkkä +2
We propose a deblurring method that incorporates gyroscope measurements into a convolutional neural network (CNN). With the help of such measurements, it can handle extremely stron…
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection
Saad Ullah Akram, Talha Qaiser, Simon Graham +3
Mitosis count is an important biomarker for prognosis of various cancers. At present, pathologists typically perform manual counting on a few selected regions of interest in breast…
Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements
Janne Mustaniemi, Juho Kannala, Simo Särkkä +2
Many computer vision and image processing applications rely on local features. It is well-known that motion blur decreases the performance of traditional feature detectors and desc…
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion and Pose Refinement
Markus Ylimäki, Juho Kannala, Janne Heikkilä
Depth map fusion is an essential part in both stereo and RGB-D based 3-D reconstruction pipelines. Whether produced with a passive stereo reconstruction or using an active depth se…