Publication
Acoustic User Experiences for the Montreux Jazz Lab
Related publications (32)
Explanation of Face Recognition via Saliency Maps
Despite the significant progress in recent years, deep face recognition is often treated as a "black box" and has been criticized for lacking explainability. It becomes increasingly important to understand the characteristics and decisions of deep face rec ...
2023Archiving the Leftovers of Science: Metadata and Histories of Scientific Institutions
In this article, I focus on digital scientific archives which are made up of the leftovers of science, such as drafts, obsolete instruments, photographs, documentation, etc. The artifacts exhibited in such collections were neither meant to be representatio ...
2021Extracting And Aligning Artist Names in Digitized Art Historical Archives
Frédéric Kaplan, Isabella Di Lenardo, Benoît Laurent Auguste Seguin
The largest collections of art historical images are not found online but are safeguarded by museums and other cultural institutions in photographic libraries. These collections can encompass millions of reproductions of paintings, drawings, engravings and ...
Red de Humanidades Digitales A. C.2018A leap of faith in the realm of the possible.
The architectural projects and building operations conducted over the past three decades by Patrick Bouchain and his collaborators challenge a series of assumptions regarding architecture’s authorship, its purpose and usage. Examined in light of Paul Ricoe ...
2016Low Complexity Image Recognition Algorithms for Handheld devices
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 ...
EPFL2013Anti-spoofing in action: joint operation with a verification system
Sébastien Marcel, André Anjos, Ivana Chingovska
Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...
2013Anti-spoofing in action: joint operation with a verification system
Sébastien Marcel, André Anjos, Ivana Chingovska
Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...
Idiap2013Privacy-Sensitive Audio Features for Conversational Speech Processing
Sree Hari Krishnan Parthasarathi
The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...
EPFL2011Privacy-Sensitive Audio Features for Conversational Speech Processing
Sree Hari Krishnan Parthasarathi
The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...
Ecole Polytechnique Fédérale de Lausanne2011Incremental Learning for Place Recognition in Dynamic Environments
This paper proposes a discriminative approach to template-based Vision-based place recognition is a desirable feature for an autonomous mobile system. In order to work in realistic scenarios, visual recognition algorithms should be adaptive, i.e. should be ...
2007