QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

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Graph Chatbot

Fractal and Complexity Analysis of Crack Patterns of Masonry Walls

Katrin Beyer, Amir Rezaie

In order to develop automatic image-based methods for damage evaluation after earthquakes, crack maps need to be evaluated using computer-based algorithms. A common method to link the crack map to a damage state is to compute the fractal dimension of the c ...

2018

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Bugra Tekin

Estimating the 3D poses of rigid and articulated bodies is one of the fundamental problems of Computer Vision. It has a broad range of applications including augmented reality, surveillance, animation and human-computer interaction. Despite the ever-growin ...

EPFL2018

Evaluating Quality of Screen Content Images Via Structural Variation Analysis

Daniel Thalmann, Matthieu Guerquin-Kern

With the quick development and popularity of computers, computer-generated signals have drastically invaded into our daily lives. Screen content image is a typical example, since it also includes graphic and textual images as components as compared with na ...

IEEE COMPUTER SOC2018

Adaptive relevance feedback for large-scale image retrieval

François Fleuret, Nicolae Suditu

Content-based image retrieval aims at substituting traditional indexing based on manual annotation by using automatically-extracted visual indexing features. Novel techniques are needed however to efficiently deal with the semantic gap (i.e. the partial ma ...

2016

Adaptive data augmentation for image classification

Pascal Frossard, Alhussein Fawzi

Data augmentation is the process of generating samples by transforming training data, with the target of improving the accuracy and robustness of classifiers. In this paper, we propose a new automatic and adaptive algorithm for choosing the transformations ...

IEEE2016

Semantic-Improved Color Imaging Applications: It Is All About Context

Sabine Süsstrunk, Albrecht Johannes Lindner

Multimedia data with associated semantics is omnipresent in today’s social online platforms in the form of keywords, user comments and so forth. This article presents a statistical framework designed to infer knowledge in the imaging domain from the semant ...

2015

Augmenting Learning Activities with Contextual Information Scent

Nan Li

Students often have information needs while carrying out a multitude of learning activities at universities. When information is needed for investigating a problem, the student may interrupt the work and switch to an information seeking task. As Internet c ...

EPFL2015

Synergy of hyperspectral and microwave remote sensing data to derive bio- and geo-physical parameters for land applications

Jelena Stamenkovic

Retrieval of bio/geophysical variables from remote sensing imagery is an important research field. Due to the development and availability of different EO satellites, especially the ones with hyperspectral sensors, the combined use of radar and optical ima ...

EPFL2015

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Frank Grégoire Jean de Morsier

The main challenge of new information technologies is to retrieve intelligible information from the large volume of digital data gathered every day. Among the variety of existing data sources, the satellites continuously observing the surface of the Earth ...

EPFL2014

Low Complexity Image Recognition Algorithms for Handheld devices

Pradyumna Ayyalasomayajula

Content Based Image Retrieval (CBIR) has gained a lot of interest over the last two decades. The need to search and retrieve images from databases, based on information (“features”) extracted from the image itself, is becoming increasingly important. CBIR ...

EPFL2013

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Synergy of hyperspectral and microwave remote sensing data to derive bio- and geo-physical parameters for land applications

Jelena Stamenkovic

EPFL2015

Low Complexity Image Recognition Algorithms for Handheld devices

Pradyumna Ayyalasomayajula

EPFL2013