Concept
Couverture de Markov
Publications associées (22)
Quantitative Methods for Omnichannel Decision-Making
Omnichannel retail has emerged as the new standard in today's commerce landscape, with retailers integrating their physical and online channels to enhance the customer shopping experience. However, such integration presents significant challenges for retai ...
EPFL2023Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference
Over the years, indoor scene parsing has attracted a growing interest in the computer vision community. Existing methods have typically focused on diverse subtasks of this challenging problem. In particular, while some of them aim at segmenting the image i ...
Ieee2017Lower Bounds on Active Learning for Graphical Model Selection
Volkan Cevher, Jonathan Mark Scarlett
We consider the problem of estimating the underlying graph associated with a Markov random field, with the added twist that the decoding algorithm can iteratively choose which subsets of nodes to sample based on the previous samples, resulting in an active ...
2017LOD Generation for Urban Scenes
We introduce a novel approach that reconstructs 3D urban scenes in the form of levels of detail (LODs). Starting from raw data sets such as surface meshes generated by multi-view stereo systems, our algorithm proceeds in three main steps: classification, a ...
Association for Computing Machinery2015Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements
Sabine Süsstrunk, Matthew Brown, Dominic Rüfenacht
We propose a method for accurate and temporally consistent surface classification in the presence of noisy, irregularly sampled measurements, and apply it to the estimation of snow coverage over time. The input imagery is extremely challenging, with large ...
2014Caenorhabditis elegant segmentation using texture-based models for motility phenotyping
Pascal Fua, Raphael Sznitman, Josué Sznitman
With widening interests in using model organisms for reverse genetic approaches and biomimmetic micro-robotics, motility phenotyping of the nematode Caenorhabditis elegans is expanding across a growing array of locomotive environments. One ongoing bottlene ...
Ieee-Inst Electrical Electronics Engineers Inc2014Flash Scanning Electron Microscopy
Pascal Fua, Marco Cantoni, Graham Knott, Raphael Sznitman, Aurélien Lucchi
Scanning Electron Microscopy (SEM) is an invaluable tool for biologists and neuroscientists to study brain structure at the intra- cellular level. While able to image tissue samples with up to 5nm isotropic resolution, image acquisition is prohibitively sl ...
2013