Search Results for author: Ron Slossberg

Found 9 papers, 2 papers with code

Depth Refinement for Improved Stereo Reconstruction

no code implementations15 Dec 2021 Amit Bracha, Noam Rotstein, David Bensaïd, Ron Slossberg, Ron Kimmel

To mitigate this quadratic relation, we propose a simple but effective method that uses a refinement network for depth estimation.

Autonomous Driving Depth Estimation +2

Unsupervised High-Fidelity Facial Texture Generation and Reconstruction

no code implementations10 Oct 2021 Ron Slossberg, Ibrahim Jubran, Ron Kimmel

In this paper, we propose a novel unified pipeline for both tasks, generation of both geometry and texture, and recovery of high-fidelity texture.

Image Generation Texture Synthesis +2

On Calibration of Scene-Text Recognition Models

no code implementations23 Dec 2020 Ron Slossberg, Oron Anschel, Amir Markovitz, Ron Litman, Aviad Aberdam, Shahar Tsiper, Shai Mazor, Jon Wu, R. Manmatha

Although the topic of confidence calibration has been an active research area for the last several decades, the case of structured and sequence prediction calibration has been scarcely explored.

Scene Text Recognition

Synthesizing facial photometries and corresponding geometries using generative adversarial networks

no code implementations19 Jan 2019 Gil Shamai, Ron Slossberg, Ron Kimmel

We circumvent the parametrization issue by imposing a global mapping from our data to the unit rectangle.

High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks

no code implementations24 Aug 2018 Ron Slossberg, Gil Shamai, Ron Kimmel

A GAN is employed in order to imitate the space of parametrized human textures, while corresponding facial geometries are generated by learning the best 3DMM coefficients for each texture.

Computational Geometry

Efficient Deformable Shape Correspondence via Kernel Matching

1 code implementation25 Jul 2017 Zorah Lähner, Matthias Vestner, Amit Boyarski, Or Litany, Ron Slossberg, Tal Remez, Emanuele Rodolà, Alex Bronstein, Michael Bronstein, Ron Kimmel, Daniel Cremers

We present a method to match three dimensional shapes under non-isometric deformations, topology changes and partiality.

Deep Stereo Matching with Dense CRF Priors

no code implementations6 Dec 2016 Ron Slossberg, Aaron Wetzler, Ron Kimmel

Stereo reconstruction from rectified images has recently been revisited within the context of deep learning.

Stereo Matching Stereo Matching Hand

Rule Of Thumb: Deep derotation for improved fingertip detection

no code implementations21 Jul 2015 Aaron Wetzler, Ron Slossberg, Ron Kimmel

We investigate a novel global orientation regression approach for articulated objects using a deep convolutional neural network.

Fingertip Detection General Classification +2

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