Publications de Pascal Fua | EPFL Graph Search

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We propose a novel approach to the real-time landing site detection and assessment in unconstrained man-made environments using passive sensors. Because this task must be performed in a few seconds or less, existing methods are often limited to simple loca ...

Recent approaches to reconstructing city-sized areas from large image collections usually process them all at once and only produce disconnected descriptions of image subsets, which typically correspond to major landmarks. In contrast, we propose a framewo ...

We present a novel deep architecture and a training strategy to learn a local feature pipeline from scratch, using collections of images without the need for human supervision. To do so we exploit depth and relative camera pose cues to create a virtual tar ...

This paper is motivated by the objective of improving the realism of real-time simulated crowds by reducing short term collision avoidance through long term anticipation of pedestrian trajectories. For this aim, we choose to reuse outdoor pedestrian trajec ...

This paper describes a particular book called Souvenirs du monde des montagnes, which draws its iconography from the history of a Swiss mountain family from 1910 to 1930. By simply dipping into the first few pages, the reader will be lost between real and ...

Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people first and then connecting the detections ...

It has been shown that multi-people tracking could be successfullly formulated as a Linear Program to process the output of multiple fixed and synchronized cameras with overlapping fields of view. In this paper, we extend this approach to the more challeng ...

A method for predicting three-dimensional body poses from image sequences of an object, the method performed on a processor of a computer having memory, the method including the steps of accessing the image sequences from the memory, finding bounding boxes ...

Multiple human pose estimation is an important yet challenging problem. In an Operating Room (OR) environment, the 3D body poses of surgeons and medical staff can provide important clues for surgical workflow analysis. For that purpose, we propose an algor ...

We propose two learning-based methods to patch rectification that are faster and more reliable than state-of-the-art affine region detection methods. Given a reference view of a patch, they can quickly recognize it in new views and accurately estimate the ...

Deformable surface tracking from monocular images is well-known to be under-constrained. Occlusions often make the task even more challenging, and can result in failure if the surface is not sufficiently textured. In this work, we explicitly address the pr ...

Pascal Fua

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Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking

Real-time landing place assessment in man-made environments

Automated Delineation of Dendritic Networks in Noisy Image Stacks

TPAMI CVPR Special Section

Imposing Hard Constraints on Deep Networks: Promises and Limitations

Dynamic and Scalable Large Scale Image Reconstruction

Implicit Surfaces Make for Better Silhouettes

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates

LF-Net: Learning Local Features from Images

Long Term Real Trajectory Reuse Through Region Goal Satisfaction

Special Section: Pose & Gesture

Hierarchical Implicit Surface Joint Limits for Human Body Tracking

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation

Memories of the world of the mountains

Multi-view Tracking Using Weakly Supervised Human Motion Prediction

Tracking Multiple Players using a Single Camera

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

Parsing human skeletons in an operating room

Learning Real-Time Perspective Patch Rectification

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture