no code implementations • 30 Jun 2022 • Shahar Mahpod, Noam Gaash, Hay Hoffman, Gil Ben-Artzi
Our approach can be trained only once with multiple sources and is able to transfer the gait of the target from unseen sources, eliminating the need for retraining for each new source independently.
1 code implementation • 13 Jun 2022 • Shai Aharon, Gil Ben-Artzi
Adaptive image restoration models can restore images with different degradation levels at inference time without the need to retrain the model.
Ranked #1 on Color Image Denoising on CBSD68 sigma55
1 code implementation • 7 Dec 2020 • Evgeny Hershkovitch Neiterman, Michael Klyuchka, Gil Ben-Artzi
Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set.
no code implementations • 10 Jun 2020 • Gil Ben-Artzi
We present a novel approach for RANSAC-based computation of the fundamental matrix based on epipolar homography decomposition.
no code implementations • ICCV 2017 • Gil Ben-Artzi
We address the problem of epipolar geometry using the motion of silhouettes.
no code implementations • 26 Jul 2016 • Yoni Kasten, Gil Ben-Artzi, Shmuel Peleg, Michael Werman
Corresponding epipolar lines have similar motion barcodes, and candidate pairs of corresponding epipoar lines are found by the similarity of their motion barcodes.
no code implementations • 17 Apr 2016 • Gil Ben-Artzi, Tavi Halperin, Michael Werman, Shmuel Peleg
This paper proposes a similarity measure between lines that indicates whether two lines are corresponding epipolar lines and enables finding epipolar line correspondences as needed for the computation of epipolar geometry.
no code implementations • CVPR 2016 • Gil Ben-Artzi, Yoni Kasten, Shmuel Peleg, Michael Werman
The use of motion barcodes leads to increased speed, accuracy, and robustness in computing the epipolar geometry.
no code implementations • 3 Dec 2014 • Gil Ben-Artzi, Michael Werman, Shmuel Peleg
We introduce a simple and effective method for retrieval of videos showing a specific event, even when the videos of that event were captured from significantly different viewpoints.