8 citations · 20 across the 16 of their papers we have counts for
16 papers
Fast Volume Alignment by Frequency-Marched Newton Method
Fabian Kruse, Valentin Debarnot, Vinith Kishore +1
We introduce Matcha, a fast method for rotational pose estimation in three-dimensional alignment, and combine it with FFT-based translation updates for full pose estimation. Classi…
Beyond Exhaustive Sampling: Efficient Rotational Matching via Ball Harmonics
Fabian Kruse, Vinith Kishore, Valentin Debarnot +1
Cryo-ET allows to generate tomograms of biological samples in situ, capturing complex structures in their native context. Despite low signal-to-noise ratio in reconstructed volumes…
Localized Supervised Learning for Cryo-ET Reconstruction
Vinith Kishore, Valentin Debarnot, AmirEhsan Khorashadizadeh +1
Cryo-electron tomography (Cryo-ET) is a powerful tool in structural biology for 3D visualization of cells and biological systems at resolutions sufficient to identify individual pr…
CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning
Vinith Kishore, Valentin Debarnot, AmirEhsan Khorashadizadeh +3
Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular structures. Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to-nois…
Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
Valentin Debarnot, Vinith Kishore, Ricardo D. Righetto +1
We introduce ICE-TIDE, a method for cryogenic electron tomography (cryo-ET) that simultaneously aligns observations and reconstructs a high-resolution volume. The alignment of tilt…
Glimpse: Generalized Locality for Scalable and Robust CT
AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu +1
Deep learning has become the state-of-the-art approach to medical tomographic imaging. A common approach is to feed the result of a simple inversion, for example the backprojection…
Implicit Reconstructions from Deformed Projections for CryoET
Vinith Kishore, Valentin Debarnot, Ivan Dokmanić
Cryo-electron tomography (cryoET) is a technique that captures images of biological samples at different tilts, preserving their native state as much as possible. Along with the pa…
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot +1
Can we build continuous generative models which generalize across scales, can be evaluated at any coordinate, admit calculation of exact derivatives, and are conceptually simple? E…
Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Valentin Debarnot, Sidharth Gupta, Konik Kothari +1
We propose a framework to jointly determine the deformation parameters and reconstruct the unknown volume in electron cryotomography (CryoET). CryoET aims to reconstruct three-dime…
Differentiable Uncalibrated Imaging
Sidharth Gupta, Konik Kothari, Valentin Debarnot +1
We propose a differentiable imaging framework to address uncertainty in measurement coordinates such as sensor locations and projection angles. We formulate the problem as measurem…
Small Transformers Compute Universal Metric Embeddings
Anastasis Kratsios, Valentin Debarnot, Ivan Dokmanić
We study representations of data from an arbitrary metric space in the space of univariate Gaussian mixtures with a transport metric (Delon and Desolneux 2020). We de…
Manifold Rewiring for Unlabeled Imaging
Valentin Debarnot, Vinith Kishore, Cheng Shi +1
Geometric data analysis relies on graphs that are either given as input or inferred from data. These graphs are often treated as "correct" when solving downstream tasks such as gra…
Blind inverse problems with isolated spikes
Valentin Debarnot, Pierre Weiss
Assume that an unknown integral operator living in some known subspace is observed indirectly, by evaluating its action on a few Dirac masses at unknown locations. Is this informat…
A scalable estimator of sets of integral operators
Valentin Debarnot, Paul Escande, Pierre Weiss
We propose a scalable method to find a subspace of low-rank tensors that simultaneously approximates a set of integral operators. The method can be seen as…
The case of Neumann, Robin and periodic lateral condition for the semi infinite generalized Graetz problem and applications
Valention Debarnot, Jérôme Fehrenbach, Frédéric de Gournay +1
The Graetz problem is a convection-diffusion equation in a pipe invariant along a direction. The contribution of the present work is to propose a mathematical analysis of the Neuma…
Multiview Attenuation Estimation and Correction
Valentin Debarnot, Jonas Kahn, Pierre Weiss
Measuring attenuation coefficients is a fundamental problem that can be solved with diverse techniques such as X-ray or optical tomography and lidar. We propose a novel approach ba…