Search Results for author: Toby Collins

Found 12 papers, 1 papers with code

TRUSTED: The Paired 3D Transabdominal Ultrasound and CT Human Data for Kidney Segmentation and Registration Research

no code implementations19 Oct 2023 William Ndzimbong, Cyril Fourniol, Loic Themyr, Nicolas Thome, Yvonne Keeza, Beniot Sauer, Pierre-Thierry Piechaud, Arnaud Mejean, Jacques Marescaux, Daniel George, Didier Mutter, Alexandre Hostettler, Toby Collins

To validate the dataset's utility, 5 competitive Deep Learning models for automatic kidney segmentation were benchmarked, yielding average DICE scores from 83. 2% to 89. 1% for CT, and 61. 9% to 79. 4% for US images.

Image Registration Image Segmentation +2

Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation

no code implementations15 Dec 2022 Loic Themyr, Clement Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler

In particular, vision transformers construct compressed global representations through self-attention and learnable class tokens.

Semantic Segmentation

StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.

1 code implementation Medical Image Analysis 2022 Francesco Bardozzo, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri

Accurate and real-time methodologies for a non-invasive three-dimensional representa-tion and reconstruction of internal patient structures is one of the main research fieldsin computer-assisted surgery and endoscopy.

Stereo Depth Estimation

Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image

no code implementations19 Nov 2018 David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro, Toby Collins, Adrien Bartoli

Compared to previous non-DNN SfT methods, it does not involve numerical optimization at run-time, and is a dense, wide-baseline solution that does not demand, and does not suffer from, feature-based matching.

3D Reconstruction Object

Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming

no code implementations CVPR 2016 Ajad Chhatkuli, Daniel Pizarro, Toby Collins, Adrien Bartoli

We show for the first time how to construct a Second-Order Cone Programming (SOCP) problem for Non-Rigid Shape-from-Motion (NRSfM) using the Maximum-Depth Heuristic (MDH).

3D Reconstruction

As-Rigid-As-Possible Volumetric Shape-From-Template

no code implementations ICCV 2015 Shaifali Parashar, Daniel Pizarro, Adrien Bartoli, Toby Collins

Volumetric SfT uses the object's full volume to express the deformation constraints and reconstructs the object's surface and interior deformation.


Shape-From-Template in Flatland

no code implementations CVPR 2015 Mathias Gallardo, Daniel Pizarro, Adrien Bartoli, Toby Collins

We focus on isometric deformations, for which 2DSfT is a well-posed problem, and admits an analytical local solution which may be used to initialize nonconvex refinement.

Template-Based Isometric Deformable 3D Reconstruction with Sampling-Based Focal Length Self-Calibration

no code implementations CVPR 2013 Adrien Bartoli, Toby Collins

We propose (i) a general variational framework that applies to (calibrated and uncalibrated) general camera models and (ii) self-calibrating 3D reconstruction algorithms for the weak-perspective and full-perspective camera models.

3D Reconstruction

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