1 code implementation • 18 Jul 2023 • Matthias Wödlinger, Jan Kotera, Manuel Keglevic, Jan Xu, Robert Sablatnig
Our proposed method compresses the left and right images in a joint manner by exploiting the mutual information between the images of the stereo image pair using a novel stereo cross attention (SCA) module and two stereo context modules.
1 code implementation • CVPR 2022 • Matthias Wödlinger, Jan Kotera, Jan Xu, Robert Sablatnig
We propose a learned method for stereo image compression that leverages the similarity of the left and right images in a stereo pair due to overlapping fields of view.
2 code implementations • CVPR 2020 • Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas
We propose a novel method that tracks fast moving objects, mainly non-uniform spherical, in full 6 degrees of freedom, estimating simultaneously their 3D motion trajectory, 3D pose and object appearance changes with a time step that is a fraction of the video frame exposure time.
Ranked #1 on Video Super-Resolution on TbD
2 code implementations • 15 Sep 2019 • Denys Rozumnyi, Jan Kotera, Filip Šroubek, Jiří Matas
Tracking by Deblatting stands for solving an inverse problem of deblurring and image matting for tracking motion-blurred objects.
3 code implementations • 9 May 2019 • Jan Kotera, Denys Rozumnyi, Filip Šroubek, Jiří Matas
We propose a novel approach called Tracking by Deblatting based on the observation that motion blur is directly related to the intra-frame trajectory of an object.
Ranked #2 on Video Super-Resolution on TbD
3 code implementations • CVPR 2017 • Denys Rozumnyi, Jan Kotera, Filip Sroubek, Lukas Novotny, Jiri Matas
The notion of a Fast Moving Object (FMO), i. e. an object that moves over a distance exceeding its size within the exposure time, is introduced.