Concept

Object co-segmentation

Related publications (374)

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

We study the problem of perceiving forest or mountain trails from a single monocular image acquired from the viewpoint of a robot traveling on the trail itself. Previous literature focused on trail segmentation, and used low-level features such as image sa ...

2015

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

Pascal Fua, Graham Knott, Corrado Cali, Biagio Nigro, Anne Alison Jorstad, Marta Wawrzyniak

Serial electron microscopy imaging is crucial for exploring the structure of cells and tissues. The development of block face scanning electron microscopy methods and their ability to capture large image stacks, some with near isotropic voxels, is proving ...

Humana Press2015

Tracking Interacting Objects in Image Sequences

Xinchao Wang

Object tracking in image sequences is a key challenge in computer vision. Its goal is to follow objects that move or evolve over time while preserving the identity of each object. However, most existing approaches focus on one class of objects and model on ...

EPFL2015

Sound My Vision: Real-time Video Analysis On Mobile Platforms For Controlling Multimedia Performances

Miranda Krekovic

This paper presents Sound My Vision, an Android application for controlling music expression and multimedia projects. Unlike other similar applications which collect data only from sensors and input devices, Sound My Vision also analyses input video in rea ...

2015

Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception

Kwang Moo Yi

In this paper, we propose a novel selective search method to speed up the object detection via category-based attention scheme. The proposed attentional searching strategy is designed to focus on a small set of selected regions where the object category is ...

IEEE2015

Visual tracking of non-rigid objects with partial occlusion through elastic structure of local patches and hierarchical diffusion

Kwang Moo Yi, Seungryong Kim

In this paper, a tracking method based on sequential Bayesian inference is proposed. The proposed method focuses on solving both the problem of tracking under partial occlusions and the problem of non-rigid object tracking in real-time on a desktop persona ...

Elsevier2015

On Rendering Synthetic Images for Training an Object Detector

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose a novel approach to synthesizing images that are effective for training object detectors. Starting from a small set of real images, our algorithm estimates the rendering parameters required to synthesize similar images given a coarse 3D model of ...

Elsevier2015

Real-time landing place assessment in man-made environments

Pascal Fua, Vincent Lepetit, Christos Marios Christoudias, Xiaolu Sun

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 ...

Springer Verlag2014

Quantitative Estimation of Biological Cell Surface Receptors by Segmenting Conventional Fluorescence Microscopy Images

Giovanni De Micheli, Sandro Carrara, Danilo Demarchi, Paolo Silacci, Julien Michel Ghaye, Chiara Succa, Guy Vergères

State-of-the-art techniques for measuring and monitoring gene level expression rely on messenger RNA (mRNA) extraction and quantification, usually based on the concept of reverse transcription polymerase chain reaction. In this paper, we take adva ...

Ieee2014

Beyond KernelBoost

Pascal Fua, Vincent Lepetit, Roberto Rigamonti

In this Technical Report we propose a set of improvements with respect to the KernelBoost classifier presented in [Becker et al., MICCAI 2013]. We start with a scheme inspired by Auto-Context, but that is suitable in situations where the lack of large trai ...

2014

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