1 code implementation • 25 Jun 2024 • Dror Moran, Yuval Margalit, Guy Trostianetsky, Fadi Khatib, Meirav Galun, Ronen Basri

Robust estimation of the essential matrix, which encodes the relative position and orientation of two cameras, is a fundamental step in structure from motion pipelines.

no code implementations • 14 May 2024 • Ruchit Rawal, Khalid Saifullah, Miquel Farré, Ronen Basri, David Jacobs, Gowthami Somepalli, Tom Goldstein

Current datasets for long-form video understanding often fall short of providing genuine long-form comprehension challenges, as many tasks derived from these datasets can be successfully tackled by analyzing just one or a few random frames from a video.

no code implementations • 22 Apr 2024 • Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri

Multiview Structure from Motion is a fundamental and challenging computer vision problem.

no code implementations • 26 Jul 2023 • Amnon Geifman, Daniel Barzilai, Ronen Basri, Meirav Galun

We leverage the duality between wide neural networks and Neural Tangent Kernels and propose a preconditioned gradient descent method, which alters the trajectory of GD.

no code implementations • 27 Nov 2022 • Fadi Khatib, Yuval Margalit, Meirav Galun, Ronen Basri

This paper proposes a generalizable, end-to-end deep learning-based method for relative pose regression between two images.

no code implementations • 27 Nov 2022 • Daniel Barzilai, Amnon Geifman, Meirav Galun, Ronen Basri

Over-parameterized residual networks (ResNets) are amongst the most successful convolutional neural architectures for image processing.

no code implementations • 17 Mar 2022 • Amnon Geifman, Meirav Galun, David Jacobs, Ronen Basri

We study the properties of various over-parametrized convolutional neural architectures through their respective Gaussian process and neural tangent kernels.

1 code implementation • ICCV 2021 • Dror Moran, Hodaya Koslowsky, Yoni Kasten, Haggai Maron, Meirav Galun, Ronen Basri

Existing deep methods produce highly accurate 3D reconstructions in stereo and multiview stereo settings, i. e., when cameras are both internally and externally calibrated.

no code implementations • 7 Apr 2021 • Yuval Belfer, Amnon Geifman, Meirav Galun, Ronen Basri

Deep residual network architectures have been shown to achieve superior accuracy over classical feed-forward networks, yet their success is still not fully understood.

1 code implementation • NeurIPS 2021 • Songwei Ge, Vasu Singla, Ronen Basri, David Jacobs

Using this, we prove that shift invariance in neural networks produces adversarial examples for the simple case of two classes, each consisting of a single image with a black or white dot on a gray background.

2 code implementations • 1 Feb 2021 • Roee Zamir, Shai Bagon, David Samocha, Yael Yagil, Ronen Basri, Miri Sklair-Levy Meirav Galun

Microcalcifications are small deposits of calcium that appear in mammograms as bright white specks on the soft tissue background of the breast.

1 code implementation • NeurIPS 2020 • Amnon Geifman, Abhay Yadav, Yoni Kasten, Meirav Galun, David Jacobs, Ronen Basri

Experiments show that these kernel methods perform similarly to real neural networks.

2 code implementations • 18 May 2020 • Tal Amir, Ronen Basri, Boaz Nadler

We present a new approach to solve the sparse approximation or best subset selection problem, namely find a $k$-sparse vector ${\bf x}\in\mathbb{R}^d$ that minimizes the $\ell_2$ residual $\lVert A{\bf x}-{\bf y} \rVert_2$.

3 code implementations • NeurIPS 2020 • Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lipman

In this work we address the challenging problem of multiview 3D surface reconstruction.

1 code implementation • ICML 2020 • Ilay Luz, Meirav Galun, Haggai Maron, Ronen Basri, Irad Yavneh

Efficient numerical solvers for sparse linear systems are crucial in science and engineering.

no code implementations • ICML 2020 • Ronen Basri, Meirav Galun, Amnon Geifman, David Jacobs, Yoni Kasten, Shira Kritchman

Recent works have partly attributed the generalization ability of over-parameterized neural networks to frequency bias -- networks trained with gradient descent on data drawn from a uniform distribution find a low frequency fit before high frequency ones.

no code implementations • CVPR 2020 • Amnon Geifman, Yoni Kasten, Meirav Galun, Ronen Basri

Global methods to Structure from Motion have gained popularity in recent years.

1 code implementation • NeurIPS 2019 • Ronen Basri, David Jacobs, Yoni Kasten, Shira Kritchman

We study the relationship between the frequency of a function and the speed at which a neural network learns it.

no code implementations • ICCV 2019 • Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri

A common approach to essential matrix averaging is to separately solve for camera orientations and subsequently for camera positions.

1 code implementation • 25 Feb 2019 • Daniel Greenfeld, Meirav Galun, Ron Kimmel, Irad Yavneh, Ronen Basri

Constructing fast numerical solvers for partial differential equations (PDEs) is crucial for many scientific disciplines.

1 code implementation • 27 Jan 2019 • Yoni Kasten, Meirav Galun, Ronen Basri

In this paper, we introduce a novel solution to the six-point online algorithm to recover the exterior parameters associated with $I_n$.

1 code implementation • CVPR 2019 • Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri

First, given ${n \choose 2}$ fundamental matrices computed for $n$ images, we provide a complete algebraic characterization in the form of conditions that are both necessary and sufficient to enabling the recovery of camera matrices.

3 code implementations • ICLR 2018 • Uri Shaham, Kelly Stanton, Henry Li, Boaz Nadler, Ronen Basri, Yuval Kluger

Moreover, the map learned by SpectralNet naturally generalizes the spectral embedding to unseen data points.

no code implementations • 25 Jun 2017 • Ofer Bartal, Nati Ofir, Yaron Lipman, Ronen Basri

We present a novel embedding method that maps pixels to normals on the unit hemisphere.

2 code implementations • 22 Jun 2017 • Nati Ofir, Meirav Galun, Sharon Alpert, Achi Brandt, Boaz Nadler, Ronen Basri

A fundamental question for edge detection in noisy images is how faint can an edge be and still be detected.

no code implementations • CVPR 2017 • Soumyadip Sengupta, Tal Amir, Meirav Galun, Tom Goldstein, David W. Jacobs, Amit Singer, Ronen Basri

We show that in general, with the selection of proper scale factors, a matrix formed by stacking fundamental matrices between pairs of images has rank 6.

no code implementations • 2 Feb 2017 • Soumyadip Sengupta, Hao Zhou, Walter Forkel, Ronen Basri, Tom Goldstein, David W. Jacobs

We introduce a new, integrated approach to uncalibrated photometric stereo.

no code implementations • 30 Jan 2017 • Onur Ozyesil, Vladislav Voroninski, Ronen Basri, Amit Singer

The structure from motion (SfM) problem in computer vision is the problem of recovering the three-dimensional ($3$D) structure of a stationary scene from a set of projective measurements, represented as a collection of two-dimensional ($2$D) images, via estimation of motion of the cameras corresponding to these images.

no code implementations • 15 Feb 2016 • Ronen Basri, David Jacobs

We consider the ability of deep neural networks to represent data that lies near a low-dimensional manifold in a high-dimensional space.

no code implementations • ICCV 2015 • Omer Meir, Meirav Galun, Stav Yagev, Ronen Basri, Irad Yavneh

We present a multiscale approach for minimizing the energy associated with Markov Random Fields (MRFs) with energy functions that include arbitrary pairwise potentials.

no code implementations • ICCV 2015 • Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman

This paper focuses on the challenging problem of finding correspondences once approximate epipolar constraints are given.

no code implementations • 15 Oct 2015 • Konrad Simon, Ronen Basri

Using linearized elasticity theory and the finite element method we seek an elastic deformation that is caused by simple external boundary forces and accounts for the difference between the two shapes.

no code implementations • 28 Jul 2015 • Angjoo Kanazawa, Shahar Kovalsky, Ronen Basri, David W. Jacobs

In this paper, we show that such information can be learned from user-clicked 2D images and a template 3D model of the target animal.

no code implementations • 28 Jul 2015 • Konrad Simon, Sameer Sheorey, David Jacobs, Ronen Basri

We suggest a novel shape matching algorithm for three-dimensional surface meshes of disk or sphere topology.

no code implementations • 10 Jun 2015 • Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman

This paper focuses on the challenging problem of finding correspondences once approximate epipolar constraints are given.

3 code implementations • CVPR 2016 • Nati Ofir, Meirav Galun, Boaz Nadler, Ronen Basri

Detecting edges is a fundamental problem in computer vision with many applications, some involving very noisy images.

no code implementations • 21 Sep 2014 • Shahar Z. Kovalsky, Daniel Glasner, Ronen Basri

We consider apictorial edge-matching puzzles, in which the goal is to arrange a collection of puzzle pieces with colored edges so that the colors match along the edges of adjacent pieces.

no code implementations • 18 Dec 2013 • Onur Ozyesil, Amit Singer, Ronen Basri

We further identify the implications of parallel rigidity theory for the location estimation problem to be well-posed, and prove exact (in the noiseless case) and stable location recovery results.

no code implementations • 10 Oct 2013 • Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd Zickler

We develop a framework for extracting a concise representation of the shape information available from diffuse shading in a small image patch.

no code implementations • 14 Apr 2013 • Tal Hassner, Ronen Basri

The known depths of the selected database objects act as shape priors which constrain the process of estimating the object's depth.

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