Publications by authors named "Pascal Fua"

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Temporally-Consistent Surface Reconstruction Using Metrically-Consistent Atlases.
Jan Bednarik, Noam Aigerman, Vladimir G Kim, Siddhartha Chaudhuri, Shaifali Parashar, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· May 2025

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 - a large-scale dataset of 3D medical shapes for computer vision.
Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe, Christina Gsaxner, Pascal Fua

Biomed Tech (Berl)· February 2025

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Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields.
Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua

Med Image Anal· January 2025

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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT.
Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua

Commun Med (Lond)· January 2025

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A Closed-Form, Pairwise Solution to Local Non-Rigid Structure-From-Motion.
Shaifali Parashar, Yuxuan Long, Mathieu Salzmann, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· November 2024

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DeepMesh: Differentiable Iso-Surface Extraction.
Benoit Guillard, Edoardo Remelli, Artem Lukoianov, Pierre Yvernay, Stephan R Richter, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· November 2024

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Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Pascal Fua

Nat Methods· October 2024

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Detecting Road Obstacles by Erasing Them.
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann

IEEE Trans Pattern Anal Mach Intell· April 2024

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Persistent Homology With Improved Locality Information for More Effective Delineation.
Doruk Oner, Adelie Garin, Mateusz Kozinski, Kathryn Hess, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· August 2023

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets.
Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Pascal Fua

Nat Methods· June 2023

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Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation.
Sina Honari, Victor Constantin, Helge Rhodin, Mathieu Salzmann, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· May 2023

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Self-Supervised Human Detection and Segmentation via Background Inpainting.
Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jorg Sporri, Mathieu Salzmann, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· December 2022

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Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineate.
Doruk Oner, Mateusz Kozinski, Lenoardo Citraro, Pascal Fua

IEEE Trans Med Imaging· December 2022

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Counting People by Estimating People Flows.
Weizhe Liu, Mathieu Salzmann, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· November 2022

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Robust Differentiable SVD.
Wei Wang, Zheng Dang, Yinlin Hu, Pascal Fua, Mathieu Salzmann

IEEE Trans Pattern Anal Mach Intell· September 2022

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Promoting Connectivity of Network-Like Structures by Enforcing Region Separation.
Doruk Oner, Mateusz Kozinski, Leonardo Citraro, Nathan C Dadap, Alexandra G Konings, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· September 2022

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3D reconstruction of curvilinear structures with stereo matching deep convolutional neural networks.
Okan Altingövde, Anastasiia Mishchuk, Gulnaz Ganeeva, Emad Oveisi, Cecile Hebert, Pascal Fua

Ultramicroscopy· April 2022

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GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss.
Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· January 2022

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Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems.
Zheng Dang, Kwang Moo Yi, Yinlin Hu, Fei Wang, Pascal Fua

IEEE Trans Pattern Anal Mach Intell· September 2021

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LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals.
Adam Gosztolai, Semih Günel, Victor Lobato-Ríos, Marco Pietro Abrate, Daniel Morales, Pascal Fua

Nat Methods· August 2021

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Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching.
Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao

IEEE Trans Pattern Anal Mach Intell· February 2021

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Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images.
Roger Bermudez-Chacon, Okan Altingovde, Carlos Becker, Mathieu Salzmann, Pascal Fua

IEEE Trans Med Imaging· April 2020

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Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures.
Mateusz Koziński, Agata Mosinska, Mathieu Salzmann, Pascal Fua

Med Image Anal· February 2020

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DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult .
Semih Günel, Helge Rhodin, Daniel Morales, João Campagnolo, Pavan Ramdya, Pascal Fua

Elife· October 2019

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Are Existing Monocular Computer Vision-Based 3D Motion Capture Approaches Ready for Deployment? A Methodological Study on the Example of Alpine Skiing.
Mirela Ostrek, Helge Rhodin, Pascal Fua, Erich Müller, Jörg Spörri

Sensors (Basel)· October 2019

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