Concept
Active contour model
Related publications (113)
Rigidity-Aware Detection for 6D Object Pose Estimation
Mathieu Salzmann, Yinlin Hu, Jingyu Li, Rui Song
Most recent 6D object pose estimation methods first use object detection to obtain 2D bounding boxes before actually regressing the pose. However, the general object detection methods they use are ill-suited to handle cluttered scenes, thus producing poor ...
Los Alamitos2023Gradient-based Methods for Deep Model Interpretability
In this dissertation, we propose gradient-based methods for characterizing model behaviour for the purposes of knowledge transfer and post-hoc model interpretation. Broadly, gradients capture the variation of some output feature of the model upon unit vari ...
EPFL2021Impact of the skull contour definition on Leksell Gamma Knife(R)Icon (TM) radiosurgery treatment planning
Introduction The Gamma Knife(R)planning software (TMR 10, Elekta Instruments, AB, Sweden) affords two ways of defining the skull volume, the "historical" one using manual measurements (still perform in some centers) and the new one using image-based skull ...
2020Max-infinitely divisible models and inference for spatial extremes
Emeric Rolland Georges Thibaud, Raphaël Huser
For many environmental processes, recent studies have shown that the dependence strength is decreasing when quantile levels increase. This implies that the popular max-stable models are inadequate to capture the rate of joint tail decay, and to estimate jo ...
WILEY2020Inferring Assembly Objects and Sequences from Demonstrations
Various unsupervised learning algorithms including GMM, Birch, Mean- Shift, K-means and DBSCAN were used to cluster the image and depth sensor data. However, it was not possible to fit the clusters on each objects quite separately in as much as data are too ...
2019Geometry in active learning for binary and multi-class image segmentation
Pascal Fua, Raphael Sznitman, Ksenia Konyushkova
We propose an active learning approach to image segmentation that exploits geometric priors to speed up and streamline the annotation process. It can be applied for both background foreground and multi-class segmentation tasks in 2D images and 3D image vol ...
2019SUBDIVIDE AND CONQUER Active Contours and Surfaces for Biomedical Image Segmentation
Anaïs Laure Marie-Thérèse Badoual
Ongoing advances in imaging techniques create new demands regarding the analysis of images in medicine and biology. Image segmentation is a key step of many image analysis pipelines and its proper execution is a particularly challenging task. This thesis i ...
EPFL2019SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
Jean-Philippe Thiran, Hazim Kemal Ekenel, Mohammad Saeed Rad
By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its low-resolution counterpart. Although such objective functions generate near-ph ...
IEEE COMPUTER SOC2019Object Shape Approximation and Contour Adaptive Depth Image Coding for Virtual View Synthesis
A depth image provides partial geometric information of a 3D scene, namely the shapes of physical objects as observed from a particular viewpoint. This information is important when synthesizing images of different virtual camera viewpoints via depth-image ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma
Meritxell Bach Cuadra, Raphael Sznitman, Alessia Pica
Purpose: We present a 3-dimensional patient-specific eye model from magnetic resonance imaging (MRI) for proton therapy treatment planning of uveal melanoma (UM). During MRI acquisition of UM patients, the point fixation can be difficult and, together with ...
ELSEVIER SCIENCE INC2018