Search Results for author: Gil Ben-Artzi

Found 9 papers, 1 papers with code

CTrGAN: Cycle Transformers GAN for Gait Transfer

no code implementations30 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.

Gait Recognition

HyperRes: Efficient Hypernetwork-Based Continuous Image Restoration

no code implementations13 Jun 2022 Shai Aharon, Gil Ben-Artzi

Continuous image restoration attempts to provide a model that can restore images with unseen degradation levels during training at inference time.

Denoising Image Restoration +1

Continuous Exposure for Extreme Low-Light Imaging

1 code implementation7 Dec 2020 Evgeny Hershkovitch Neiterman, Michael Klyuchka, Gil Ben-Artzi

We consider the problem of enhancing an underexposed dark image captured in a very low-light environment where details cannot be detected.

Separable Four Points Fundamental Matrix

no code implementations10 Jun 2020 Gil Ben-Artzi

We present a novel approach for RANSAC-based computation of the fundamental matrix based on epipolar homography decomposition.

Fundamental Matrices from Moving Objects Using Line Motion Barcodes

no code implementations26 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.

Epipolar Geometry Based On Line Similarity

no code implementations17 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.

Stereo Matching Stereo Matching Hand

Camera Calibration from Dynamic Silhouettes Using Motion Barcodes

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.

Camera Calibration

Event Retrieval Using Motion Barcodes

no code implementations3 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.


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