P. Fua

P. Fua, Slobodan Ilic, M. Dimitrijevic, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

P. Fua, Weizhe Liu, Martin Engilberge, 2022, 2210.10771.

MARKERLESS MODEL BASED SURFACE MEASUREMENT AND MOTION TRACKING

P. Fua, A. Gruen, G. Schrotter, 2005 .

On the relevance of sparsity for image classification

Vincent Lepetit, Pascal Fua, Germán González, 2014, Comput. Vis. Image Underst..

Resegmentation using generic shape: Locating general cultural objects

Pascal Fua, Andrew J. Hanson, P. Fua, 1987, Pattern Recognit. Lett..

3D facial pose estimation by image retrieval

Vincent Lepetit, Pascal Fua, Slobodan Ilic, 2008 .

Implicit Meshes for Effective Silhouette Handling

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2007, International Journal of Computer Vision.

Temporal motion models for monocular and multiview 3D human body tracking

David J. Fleet, Pascal Fua, Raquel Urtasun, 2006, Comput. Vis. Image Underst..

Monocular 3D tracking of the golf swing

David J. Fleet, Pascal Fua, Raquel Urtasun, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

3D Human Body Tracking Using Deterministic Temporal Motion Models

Pascal Fua, Raquel Urtasun, P. Fua, 2004, ECCV.

Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data

Pascal Fua, P. Fua, 2000, International Journal of Computer Vision.

Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data

Pascal Fua, Slobodan Ilic, P. Fua, 2002, ECCV.

Model-Based Silhouette Extraction for Accurate People Tracking

Pascal Fua, Ralf Plänkers, P. Fua, 2002, ECCV.

The Radiometry of Multiple Images

Pascal Fua, Yvan G. Leclerc, Quang-Tuan Luong, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Tracking and Modeling People in Video Sequences

Pascal Fua, Ralf Plänkers, P. Fua, 2001, Comput. Vis. Image Underst..

Automated body modeling from video sequences

R. Plankers, P. Fua, N. D'Apuzzo, 1999, Proceedings IEEE International Workshop on Modelling People. MPeople'99.

Animated Heads from Ordinary Images: A Least-Squares Approach

Pascal Fua, C. Miccio, P. Fua, 1999, Comput. Vis. Image Underst..

Modeling heads from uncalibrated video sequences

P. Fua, P. Fua, 1998, Electronic Imaging.

From Regular Images to Animated Heads: A Least Squares Approach

Pascal Fua, C. Miccio, P. Fua, 1998, ECCV.

Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

Vincent Lepetit, Pascal Fua, P. Fua, 2005, Found. Trends Comput. Graph. Vis..

Robust data association for online application

Vincent Lepetit, Pascal Fua, Ali Shahrokni, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Non-Markovian Globally Consistent Multi-object Tracking

Pascal Fua, François Fleuret, Xinchao Wang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Globally Consistent Multi-People Tracking using Motion Patterns pdf

Pascal Fua, François Fleuret, Xinchao Wang, 2016, ArXiv.

Making Action Recognition Robust to Occlusions and Viewpoint Changes

Pascal Fua, Daniel Weinland, Mustafa Özuysal, 2010, ECCV.

Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps

Pascal Fua, François Fleuret, Jérôme Berclaz, 2008, ECCV.

Classifier-based Contour Tracking for Rigid and Deformable Objects

Pascal Fua, Ali Shahrokni, François Fleuret, 2005, BMVC.

Deformable Surface 3D Reconstruction from Monocular Images

Pascal Fua, Mathieu Salzmann, P. Fua, 2010, Synthesis Lectures on Computer Vision.

Keypoint recognition using randomized trees

Vincent Lepetit, Pascal Fua, P. Fua, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Flying objects detection from a single moving camera

Vincent Lepetit, Pascal Fua, Artem Rozantsev, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Free-Shape Polygonal Object Localization

Pascal Fua, C. Mario Christoudias, Xiaolu Sun, 2014, ECCV.

Multiscale Centerline Detection

Vincent Lepetit, Pascal Fua, Amos Sironi, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Detecting and Tracking Cells using Network Flow Programming pdf

Pascal Fua, Engin Türetken, Xinchao Wang, 2015, ArXiv.

Monocular 3-D Tracking of the Golf Swing

David J. Fleet, Pascal Fua, Raquel Urtasun, 2005, CVPR.

Generic deformable implicit mesh models for automated reconstruction

Pascal Fua, Slobodan Ilic, P. Fua, 2003, First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. HLK 2003..

Articulated soft objects for video-based body modeling

R. Plankers, P. Fua, P. Fua, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Face Models from Uncalibrated Video Sequences

Pascal Fua, P. Fua, 1998, CAPTECH.

Taking Advantage of Image-Based and Geometry-Based Constraints to Recover 3-D Surfaces

Pascal Fua, Yvan G. Leclerc, P. Fua, 1996, Comput. Vis. Image Underst..

Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints

Pascal Fua, Yvan G. Leclerc, P. Fua, 1994, ECCV.

Vision Based 3D Tracking and Pose Estimation for Mixed Reality

Pascal Fua, Vincent Lepetit, P. Fua, 2007 .

Using model-driven bundle-adjustment to model heads from raw video sequences

Pascal Fua, P. Fua, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

DeepFly3D: A deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

Pascal Fua, Helge Rhodin, Pavan Ramdya, 2019, bioRxiv.

Neural Scene Decomposition for Multi-Person Motion Capture

Pascal Fua, Mathieu Salzmann, Victor Constantin, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1

Pascal Fua, Anne Jorstad, Carlos Becker, 2018, PloS one.

Automatic Determination of Shoulder Joint Limits Using Quaternion Field Boundaries

Pascal Fua, Andrew J. Hanson, Raquel Urtasun, 2003, Int. J. Robotics Res..

Implicit meshes for surface reconstruction

Pascal Fua, Slobodan Ilic, P. Fua, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Simultaneous pose, correspondence and non-rigid shape

Francesc Moreno-Noguer, Pascal Fua, Jordi Sanchez-Riera, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Monocular 3D Reconstruction of Locally Textured Surfaces

Pascal Fua, Mathieu Salzmann, Aydin Varol, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stable real-time 3D tracking using online and offline information

Vincent Lepetit, Luca Vacchetti, Pascal Fua, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning to Find Good Correspondences

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Fast, Accurate and Consistent Modeling of Drainage and Surrounding Terrain

Pascal Fua, P. Fua, 1998, International Journal of Computer Vision.

GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping

Pascal Fua, Mathieu Salzmann, Erhan Gundogdu, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Structured Prediction of 3D Human Pose with Deep Neural Networks pdf

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2016, BMVC.

Linking Pose and Motion

Andrea Fossati, P. Fua, A. Fossati, 2008, ECCV.

Gradient Response Maps for Real-Time Detection of Textureless Objects

Vincent Lepetit, Nassir Navab, Pascal Fua, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

XNect

Mohamed A. Elgharib, H. Seidel, C. Theobalt, 2020 .

Motion Capture from Pan-Tilt Cameras with Unknown Orientation

Pascal Fua, Jörg Spörri, Helge Rhodin, 2019, 2019 International Conference on 3D Vision (3DV).

Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View

Pascal Fua, Mathieu Salzmann, Jan Bednarík, 2018, 2018 International Conference on 3D Vision (3DV).

Template-Based Monocular 3D Shape Recovery Using Laplacian Meshes

Pascal Fua, Dat Tien Ngo, Jonas Östlund, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture

Pascal Fua, Anne Jorstad, Chang Dong Yoo, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A constrained latent variable model

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Deformable Surface Tracking Ambiguities

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets

Pascal Fua, Aurélien Lucchi, Yunpeng Li, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Segmentation-Driven 6D Object Pose Estimation

Pascal Fua, Mathieu Salzmann, Yinlin Hu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Detecting the Unexpected via Image Resynthesis

Pascal Fua, Mathieu Salzmann, Krzysztof Lis, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Beyond Cartesian Representations for Local Descriptors

Pascal Fua, Eduard Trulls, Kwang Moo Yi, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

Pascal Fua, Christian Theobalt, Dan Casas, 2016, 2017 International Conference on 3D Vision (3DV).

Do We Need Binary Features for 3D Reconstruction?

Pascal Fua, Shiming Xiang, Chunhong Pan, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Receptive Fields Selection for Binary Feature Description

Pascal Fua, Chunhong Pan, Zhiheng Wang, 2014, IEEE Transactions on Image Processing.

Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2018, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Active Learning from Data

Pascal Fua, Ksenia Konyushkova, Raphael Sznitman, 2017, NIPS.

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

P. Fua, S. Haussener, N. Mallya, 2023, ASME Journal of Heat and Mass Transfer.

Geodesic Convolutional Shape Optimization

Pascal Fua, François Fleuret, Edoardo Remelli, 2018, ICML.

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation pdf

Pascal Fua, Mathieu Salzmann, Helge Rhodin, 2018, ECCV.

Robust Multi-View Change Detection

Pascal Fua, Luigi di Stefano, François Fleuret, 2007, BMVC.

LF-Net: Learning Local Features from Images

Pascal Fua, Yuki Ono, Eduard Trulls, 2018, NeurIPS.

TILDE: A Temporally Invariant Learned DEtector

Vincent Lepetit, Pascal Fua, Kwang Moo Yi, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Context-Aware Crowd Counting

Pascal Fua, Mathieu Salzmann, Weizhe Liu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques

Pascal Fua, Jesse Davis, Jan Van Haaren, 2016, KDD.

Real-Time Seamless Single Shot 6D Object Pose Prediction

Pascal Fua, Sudipta N. Sinha, Bugra Tekin, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Recurrent U-Net for Resource-Constrained Segmentation

Pascal Fua, Mathieu Salzmann, Wei Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Fully automated and stable registration for augmented reality applications

Vincent Lepetit, Luca Vacchetti, Pascal Fua, 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

Learning Latent Representations of 3D Human Pose with Deep Neural Networks

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2018, International Journal of Computer Vision.

Efficient large-scale multi-view stereo for ultra high-resolution image sets

C. Strecha, P. Fua, Engin Tola, 2012, Machine Vision and Applications.

WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection

Luc Van Gool, Pascal Fua, Tatjana Chavdarova, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Occlusion Reasoning for Multi-camera Multi-target Detection

Pascal Fua, François Fleuret, Pierre Baqué, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Dynamic and scalable large scale image reconstruction

Pascal Fua, Christoph Strecha, Timo Pylvänäinen, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

From Multiple Stereo Views to Multiple 3-D Surfaces

Pascal Fua, P. Fua, 1997, International Journal of Computer Vision.

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Multiple Object Tracking Using K-shortest Paths Optimization

Pascal Fua, François Fleuret, Engin Türetken, 2022 .

FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification pdf

Jun Yu, Pascal Fua, Dacheng Tao, 2018, ECCV.

Conditional Random Fields for multi-camera object detection

Pascal Fua, Gemma Roig, Xavier Boix, 2011, 2011 International Conference on Computer Vision.

Backpropagation-Friendly Eigendecomposition

Pascal Fua, Mathieu Salzmann, Wei Wang, 2019, NeurIPS.

Robust 3D Object Tracking from Monocular Images Using Stable Parts

Vincent Lepetit, Mahdi Rad, Pascal Fua, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Boosting Binary Keypoint Descriptors

Vincent Lepetit, Pascal Fua, Tomasz Trzcinski, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler pdf

Pascal Fua, Edoardo Remelli, Pierre Baqué, 2019, ArXiv.

What Players do with the Ball: A Physically Constrained Interaction Modeling

Pascal Fua, Xinchao Wang, Andrii Maksai, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Modeling Facial Geometry Using Compositional VAEs

Yaser Sheikh, Pascal Fua, Chenglei Wu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking pdf

Pascal Fua, Andrii Maksai, P. Fua, 2018, ArXiv.

Learning Monocular 3D Human Pose Estimation from Multi-view Images

Pascal Fua, Mathieu Salzmann, Erich Müller, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

Vincent Lepetit, Mahdi Rad, Pascal Fua, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

What Face and Body Shapes Can Tell About Height pdf

Pascal Fua, Helge Rhodin, Semih Günel, 2018, ArXiv.

Simultaneous segmentation and anatomical labeling of the cerebral vasculature

Pascal Fua, Paul Suetens, Frederik Maes, 2016, Medical Image Anal..

Simultaneous Segmentation and Anatomical Labeling of the Cerebral Vasculature

Pascal Fua, Paul Suetens, Frederik Maes, 2014, MICCAI.

Reconstructing Loopy Curvilinear Structures Using Integer Programming

Pascal Fua, Hanspeter Pfister, Engin Türetken, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Accurate Non-Iterative O(n) Solution to the PnP Problem

Vincent Lepetit, Francesc Moreno-Noguer, Pascal Fua, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Re-identification for Improved People Tracking

Pascal Fua, François Fleuret, Horesh Ben Shitrit, 2014, Person Re-Identification.

Reconstructing sharply folding surfaces: A convex formulation

P. Fua, M. Salzmann, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Data-Driven Visual Tracking in Retinal Microsurgery

Russell H. Taylor, Gregory D. Hager, Pascal Fua, 2012, MICCAI.

Robust People Tracking with Global Trajectory Optimization

Pascal Fua, François Fleuret, Jérôme Berclaz, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Probability occupancy maps for occluded depth images

Pascal Fua, François Fleuret, Timur M. Bagautdinov, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DEVELOPING SPECIES SPECIFIC VEGETATION MAPS USING MULTI-SPECTRAL HYPERSPATIAL IMAGERY FROM UNMANNED AERIAL VEHICLES

Pascal Fua, Christoph Strecha, Andrew Fletcher, 2012 .

Making Background Subtraction Robust to Sudden Illumination Changes

Pascal Fua, Christoph Strecha, Julien Pilet, 2008, ECCV.

Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation

Vincent Lepetit, Pascal Fua, Julien Pilet, 2008, International Journal of Computer Vision.

Real time correlation-based stereo: algorithm, implementations and applications

Laurent Moll, Pascal Fua, Olivier Faugeras, 1993 .

Self-Consistency and MDL: A Paradigm for Evaluating Point-Correspondence Algorithms, and Its Application to Detecting Changes in Surface Elevation

Pascal Fua, Yvan G. Leclerc, Quang-Tuan Luong, 2004, International Journal of Computer Vision.

Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities

Pascal Fua, P. Fua, 1991, IJCAI.

Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions

P. Fua, A. Konings, C. Harvey, 2021, AGU Advances.

3D tracking for gait characterization and recognition

Pascal Fua, Raquel Urtasun, P. Fua, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Implicit surfaces make for better silhouettes

Pascal Fua, Slobodan Ilic, Mathieu Salzmann, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Steerable Features for Statistical 3D Dendrite Detection

Pascal Fua, Michael Unser, François Fleuret, 2009, MICCAI.

Supervised Feature Learning for Curvilinear Structure Segmentation

Vincent Lepetit, Pascal Fua, Carlos J. Becker, 2013, MICCAI.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses pdf

Fei Wang, Pascal Fua, Mathieu Salzmann, 2018, ECCV.

Retexturing in the Presence of Complex Illumination and Occlusions

Vincent Lepetit, Pascal Fua, Julien Pilet, 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors

Pascal Fua, Christian Blum, Germán González, 2011, Neuroinformatics.

Generating LOD3 building models from structure-from-motion and semantic segmentation

P. Fua, F. Pérez-Cruz, M. Koziński, 2022, Automation in Construction.

Multi-modal Mean-Fields via Cardinality-Based Clamping

Pascal Fua, François Fleuret, Pierre Baqué, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Context Cues for Synapse Segmentation

Pascal Fua, Carlos J. Becker, Graham Knott, 2013, IEEE Transactions on Medical Imaging.

Parsing human skeletons in an operating room

Nassir Navab, Pascal Fua, Slobodan Ilic, 2016, Machine Vision and Applications.

Imposing Hard Constraints on Deformable Models through Optimization in Orthogonal Subspaces

Pascal Fua, Christian Brechbühler, P. Fua, 1997, Comput. Vis. Image Underst..

Template-free monocular reconstruction of deformable surfaces

Pascal Fua, Mathieu Salzmann, Aydin Varol, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Combining edge and texture information for real-time accurate 3D camera tracking

Vincent Lepetit, Luca Vacchetti, Pascal Fua, 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

Convex Optimization for Deformable Surface 3-D Tracking

Pascal Fua, Mathieu Salzmann, Richard I. Hartley, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour

Pascal Fua, Adrian Hilton, Rémi Ronfard, 2006, Comput. Vis. Image Underst..

Automatic Extraction of Generic House Roofs from High Resolution Aerial Imagery

Pascal Fua, Markus A. Stricker, Olof Henricsson, 1996, ECCV.

Using contextual information to set control parameters of a vision process

Stéphane Houzelle, Pascal Fua, Thomas M. Strat, 1994, Proceedings of 12th International Conference on Pattern Recognition.

An optimization framework for feature extraction

Pascal Fua, Andrew J. Hanson, P. Fua, 1991, Machine Vision and Applications.

Using Generic Geometric Models for Intelligent Shape Extraction

Pascal Fua, Andrew J. Hanson, P. Fua, 1987, AAAI.

Real-time landing place assessment in man-made environments

P. Fua, C. M. Christoudias, Xiaolu Sun, 2013, Machine Vision and Applications.

Articulated Soft Objects for Multiview Shape and Motion Capture

Pascal Fua, Ralf Plänkers, P. Fua, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Principled Parallel Mean-Field Inference for Discrete Random Fields

Pascal Fua, François Fleuret, Pierre Baqué, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation pdf

Pascal Fua, Wei Wang, Mathieu Salzmann, 2018, ArXiv.

Reconstructing Evolving Tree Structures in Time Lapse Sequences

Pascal Fua, Jan Kybic, Raphael Sznitman, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Reconstructing Curvilinear Networks Using Path Classifiers and Integer Programming

Pascal Fua, Hanspeter Pfister, Engin Türetken, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks

Pascal Fua, Engin Türetken, Fethallah Benmansour, 2013 .

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images

Vincent Lepetit, Pascal Fua, Aurélien Lucchi, 2010, MICCAI.

Computer Vision – ECCV 2012

Pascal Fua, Noah Snavely, Dan Huttenlocher, 2012, Lecture Notes in Computer Science.

Fast Keypoint Recognition in Ten Lines of Code

Vincent Lepetit, Pascal Fua, Mustafa Özuysal, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks

G. Knott, P. Fua, C. Calì, 2014, Neuroinformatics.

Residual Parameter Transfer for Deep Domain Adaptation

Pascal Fua, Mathieu Salzmann, Artem Rozantsev, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Delineating trees in noisy 2D images and 3D image-stacks

Pascal Fua, François Fleuret, Germán González, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Model-based approach to accurate and consistent 3-D modeling of drainage and surrounding terrain

Pascal Fua, P. Fua, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Consistent Modelling of Terrain and Drainage Using Deformable Models

Pascal Fua, P. Fua, 1997, EMMCVPR.

Making snakes converge from minimal initialization

Gábor Székely, Pascal Fua, Olaf Kübler, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Model driven edge detection

Pascal Fua, Yvan G. Leclerc, P. Fua, 1990, Machine Vision and Applications.

3D pose refinement from reflections

Vincent Lepetit, Pascal Fua, Mathieu Salzmann, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Keypoint Signatures for Fast Learning and Recognition

Vincent Lepetit, Pascal Fua, Michael Calonder, 2008, ECCV.

Fast Part-Based Classification for Instrument Detection in Minimally Invasive Surgery

Pascal Fua, Raphael Sznitman, Carlos J. Becker, 2014, MICCAI.

Point matching as a classification problem for fast and robust object pose estimation

Vincent Lepetit, Pascal Fua, Julien Pilet, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Local deformation models for monocular 3D shape recovery

Pascal Fua, Raquel Urtasun, Mathieu Salzmann, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Live Texturing of Augmented Reality Characters from Colored Drawings

Pascal Fua, Markus H. Gross, Robert W. Sumner, 2015, IEEE Transactions on Visualization and Computer Graphics.

Tracking Multiple Objects under Global Appearance Constraints

Pascal Fua, François Fleuret, Jerome Berclaz, 2011, ICCV 2011.

Tracking Interacting Objects Optimally Using Integer Programming

Pascal Fua, François Fleuret, Engin Türetken, 2014, ECCV.

Fusing online and offline information for stable 3D tracking in real-time

Vincent Lepetit, Luca Vacchetti, Pascal Fua, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching

Pascal Fua, Dacheng Tao, Jiayan Qiu, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tracking Interacting Objects Using Intertwined Flows

Pascal Fua, François Fleuret, Engin Türetken, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tracking multiple people under global appearance constraints

Pascal Fua, François Fleuret, Jérôme Berclaz, 2011, 2011 International Conference on Computer Vision.

Laplacian Meshes for Monocular 3D Shape Recovery

Pascal Fua, Aydin Varol, Dat Tien Ngo, 2012, ECCV.

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking

Pascal Fua, Andrii Maksai, P. Fua, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Refining Mitochondria Segmentation in Electron Microscopy Imagery with Active Surfaces

Pascal Fua, Anne Jorstad, P. Fua, 2014, ECCV Workshops.

The WILDTRACK Multi-Camera Person Dataset pdf

Luc Van Gool, Pascal Fua, Tatjana Chavdarova, 2017, ArXiv.

A Real-Time Deformable Detector

Pascal Fua, François Fleuret, David Hasler, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Human body pose detection using Bayesian spatio-temporal templates

Vincent Lepetit, Pascal Fua, Miodrag Dimitrijevic, 2006, Comput. Vis. Image Underst..

Principled Detection-by-Classification From Multiple Views

Pascal Fua, François Fleuret, Jérôme Berclaz, 2008, VISAPP.

Human Body Pose Recognition Using Spatio-Temporal Templates

Pascal Fua, Vincent Lepetit, M. Dimitrijevic, 2005, ICCV 2005.

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction

Pascal Fua, Shiming Xiang, Chunhong Pan, 2017, IEEE Transactions on Image Processing.

Simultaneous Recognition and Homography Extraction of Local Patches with a Simple Linear Classifier

Vincent Lepetit, Nassir Navab, Pascal Fua, 2008, BMVC.

Learning Lightprobes for Mixed Reality Illumination

Vincent Lepetit, Pascal Fua, Dieter Schmalstieg, 2017, 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Using Specularities to Recover Multiple Light Sources in the Presence of Texture

Pascal Fua, Pascal Lagger, P. Fua, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Machine Vision and Applications Efficient Large-scale Multi-view Stereo for Ultra High-resolution Image Sets

C. Strecha, P. Fua, Engin Tola, 2022 .

Dendritic tree extraction from noisy maximum intensity projection images in C. elegans

Pascal Fua, Raphael Sznitman, Josué Sznitman, 2014, Biomedical engineering online.

Caenorhabditis Elegans Segmentation Using Texture-Based Models for Motility Phenotyping

Pascal Fua, Raphael Sznitman, Josué Sznitman, 2014, IEEE Transactions on Biomedical Engineering.

An all-in-one solution to geometric and photometric calibration

Vincent Lepetit, Pascal Fua, Andreas Geiger, 2006, 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality.

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures

Nassir Navab, Pascal Fua, Bernt Schiele, 2014, ECCV Workshops.

Gravity as a Reference for Estimating a Person’s Height From Video

Pascal Fua, Helge Rhodin, Semih Günel, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

From Canonical Poses to 3D Motion Capture Using a Single Camera

Vincent Lepetit, Pascal Fua, Andrea Fossati, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

P. Fua, M. Salzmann, Fei Wang, 2018, ECCV.

Simplified Building Models Extraction From Ultra-Light UAV Imagery

Pascal Fua, Christoph Strecha, Jan Stumpf, 2012 .

Learning to Assign Orientations to Feature Points

Vincent Lepetit, Pascal Fua, Kwang Moo Yi, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Training for Task Specific Keypoint Detection

Pascal Fua, Christoph Strecha, Albrecht J. Lindner, 2009, DAGM-Symposium.

Online learning of patch perspective rectification for efficient object detection

Vincent Lepetit, Nassir Navab, Pascal Fua, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Hierarchical implicit surface joint limits for human body tracking

Pascal Fua, Raquel Urtasun, Lorna Herda, 2005, Comput. Vis. Image Underst..

Geometry in Active Learning for Binary and Multi-class Image Segmentation pdf

Pascal Fua, Ksenia Konyushkova, Raphael Sznitman, 2016, Comput. Vis. Image Underst..

Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition

Silvio Savarese, Pascal Fua, François Fleuret, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Simultaneous point matching and 3D deformable surface reconstruction

Pascal Fua, Lorenzo Torresani, Aydin Varol, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Vision-based Unmanned Aerial Vehicle detection and tracking for sense and avoid systems

Vincent Lepetit, Pascal Fua, Denis Gillet, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Kullback-Leibler Proximal Variational Inference

Pascal Fua, François Fleuret, Pierre Baqué, 2015, NIPS.

Take your eyes off the ball: Improving ball-tracking by focusing on team play

Pascal Fua, Xinchao Wang, Vitaly Ablavsky, 2014, Comput. Vis. Image Underst..

Introducing Geometry in Active Learning for Image Segmentation

Pascal Fua, Ksenia Konyushkova, Raphael Sznitman, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Computer vision profiling of neurite outgrowth dynamics reveals spatiotemporal modularity of Rho GTPase signaling

P. Fua, F. Fleuret, Germán González, 2016, The Journal of cell biology.

Scale-Adaptive Superpixels

Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, 2018, CIC.

Multiscale Centerline Detection by Learning a Scale-Space Distance Transform

Vincent Lepetit, Pascal Fua, Amos Sironi, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Classification-Based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation

Pascal Fua, Ali Shahrokni, Tom Drummond, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

Pascal Fua, Helge Rhodin, Semih Günel, 2019, eLife.

Predicting People's 3D Poses from Short Sequences pdf

Vincent Lepetit, Pascal Fua, Xinchao Wang, 2015, ArXiv.

Resolving occlusion in multiframe reconstruction of deformable surfaces

Pascal Fua, Sharat Chandran, Aydin Varol, 2011, CVPR 2011 WORKSHOPS.

Linear Local Models for Monocular Reconstruction of Deformable Surfaces

Pascal Fua, Mathieu Salzmann, P. Fua, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Skeleton-based motion capture for robust reconstruction of human motion

Pascal Fua, Daniel Thalmann, Ronan Boulic, 2000, Proceedings Computer Animation 2000.

Discovering General-Purpose Active Learning Strategies pdf

Pascal Fua, Ksenia Konyushkova, Raphael Sznitman, 2018, ArXiv.

Learning Active Learning from Real and Synthetic Data pdf

Pascal Fua, Ksenia Konyushkova, Raphael Sznitman, 2017, ArXiv.

Non-Linear Domain Adaptation with Boosting

Pascal Fua, Carlos J. Becker, C. Mario Christoudias, 2013, NIPS.

Hybrid Algorithms for the Minimum-Weight Rooted Arborescence Problem

Pascal Fua, Christian Blum, Engin Türetken, 2012, ANTS.

Structured Image Segmentation Using Kernelized Features

Pascal Fua, Aurélien Lucchi, Kevin Smith, 2012, ECCV.

Multi-Scale 3D Rendering of Big Biological Images CVLab-EPFL

Pascal Fua, Aurelien Lucchi, Raphael Dumusc, 2011 .

NeuroMorph: A Toolset for the Morphometric Analysis and Visualization of 3D Models Derived from Electron Microscopy Image Stacks

Pascal Fua, Corrado Calì, Anne Jorstad, 2014, Neuroinformatics.

Imposing Hard Constraints on Soft Snakes

Pascal Fua, Christian Brechbühler, P. Fua, 1996, ECCV.

Model-Based Optimization: An Approach to Fast, Accurate, and Consistent Site Modeling from Imagery

Pascal Fua, P. Fua, 1997 .

Model-Based Optimization : An Approach to Fast ,

P. Fua, P. Fua, 1996 .

Rapid Construction of Virtual Worlds Quarterly Report #3

P. Fua, L. Quam, 1995 .

An Investigation of Model Bias in 3D Face Tracking

Vincent Lepetit, Pascal Fua, Gérard G. Medioni, 2005, AMFG.

Bundle Adjustment for Markerless Body Tracking in Monocular Video Sequences

Vincent Lepetit, Pascal Fua, Ali Shahrokni, 2003 .

Reconstructing complex surfaces from multiple stereo views

Pascal Fua, P. Fua, 1995, Proceedings of IEEE International Conference on Computer Vision.

Deformable Velcro surfaces

Gábor Székely, Pascal Fua, Olaf Kübler, 1995, Proceedings of IEEE International Conference on Computer Vision.

Model-Based Optimization: Accurate and Consistent Site Modeling

Pascal Fua, P. Fua, 1996 .

Beyond KernelBoost pdf

Vincent Lepetit, Pascal Fua, Roberto Rigamonti, 2014, ArXiv.

BRIEF: Computing a Local Binary Descriptor Very Fast

C. Strecha, P. Fua, V. Lepetit, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tracking articulated bodies using Generalized Expectation Maximization

Pascal Fua, Andrea Fossati, Radu Horaud, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Supervised Feature Learning for Curvilinear Structure Segmentation

P. Fua, V. Lepetit, C. Becker, 2013, MICCAI.

Tracking Multiple Players using a Single Camera

Pascal Fua, François Fleuret, Horesh Ben Shitrit, 2013, MVA 2013.

A framework for rapid evaluation of prototypes with augmented reality

Pascal Fua, Daniel Thalmann, Marcelo Kallmann, 2000, VRST '00.

Retrieving multiple light sources in the presence of specular reflections and texture

Pascal Fua, Pascal Lagger, P. Fua, 2008, Comput. Vis. Image Underst..

Filter Learning for Linear Structure Segmentation

Vincent Lepetit, Pascal Fua, Engin Türetken, 2011 .

Efficient large-scale multi-view stereo for ultra high-resolution image sets

Pascal Fua, Christoph Strecha, Engin Tola, 2011, Machine Vision and Applications.

Detecting Flying Objects Using a Single Moving Camera

P. Fua, V. Lepetit, Artem Rozantsev, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Real-time augmented face

Vincent Lepetit, Luca Vacchetti, Pascal Fua, 2003, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings..

Handling Occlusions and Sparse Textures in a Deformable Surface Tracking Framework pdf

Pascal Fua, Sanghyuk Park, Anne Jorstad, 2015, ArXiv.

Augmenting deformable objects in real-time

Vincent Lepetit, Pascal Fua, Julien Pilet, 2005, Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR'05).

Using differential constraints to reconstruct complex surfaces from stereo

Pascal Fua, Olivier Monga, Richard Lengagne, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Segmenting Unstructured 3D Points into Surfaces

Pascal Fua, Peter T. Sander, P. Fua, 1992, ECCV.

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation

Pascal Fua, Mathieu Salzmann, Mateusz Kozinski, 2018, Medical Image Anal..

Mahalanobis Motion Generation

Pascal Fua, Daniel Thalmann, Raquel Urtasun, 2004 .

Tracking Interacting Objects Using Intertwined Flows

P. Fua, F. Fleuret, Xinchao Wang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

Pascal Fua, Kamiar Aminian, Brigitte M. Jolles, 2006, IEEE Transactions on Biomedical Engineering.

Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux

Pascal Fua, Engin Türetken, Carlos J. Becker, 2013, 2013 IEEE International Conference on Computer Vision.

Registration without correspondences

Pascal Fua, Yvan G. Leclerc, P. Fua, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Vincent Lepetit, Pascal Fua, Andrea Fossati, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Real-time vehicle tracking for driving assistance

Pascal Fua, Andrea Fossati, Patrick Schönmann, 2011, Machine Vision and Applications.

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Gradient Response Maps for Real-time Detection of Texture-less Objects

P. Fua, V. Lepetit, Stefan Hinterstoißer, 2022 .