RGB+ Using Near-Infrared (NIR) to Improve Computational Photography Applications, IEEE CVPR Workshop on Perception Beyond the Visible Spectrum (PBVS 2018), Salt Lake City, USA (June 2018).
Vision, Imaging, and Machine Learning: Fact and Fancy, Océ R&D Image Processing Conference, Venlo, Netherlands (June 2018).
Image and Video Recognition, Fact and Fancy, SWISS TXT Kundenevent, Oerlikon, Switzerland (April 2018).
RGB+ Improving the Visible with the Invisible, Eurographics 2018, Delft, Netherlands (April 2018).
RGB++: How Multimedia improves Image Processing and Image Understanding, IEEE International Workshop on Multimedia Signal Processing (MMSP 2012), Banff, Canada (September 2012).
Improving the Visible with the Invisible: Incorporating near-infrared cues in computational photography and computer vision tasks, VISIGRAPP 2012, Rome, Italy (February 2012).
More physics! The benefits of incorporating near-infrared cues in image processing and computer vision tasks, IS&T/SPIE Electronic Imaging Symposium 2012: Visual Information
Processing and Communication Conference, South San Francisco, USA (January 2012).
RGB+: Exploiting Near-Infrared to Advance Computational Photography and Computer Vision, SITIS 2011, Dijon, France (November 2011)
Retinal Modeling in Digital Photography, IS&T Fourth European Conference on Color in Graphics, Imaging, and Vision (CGIV 2008), Terrassa, Spain (June 2008).
Die Tonwertanpassung von Farbbildern, basierend auf einem Modell der lokalen Adaption in der Retina, 13. Workshop Farbbildverarbeitung 2007, Deutsche Arbeitsgemeinschaft für Mustererkennung (DAGM e.V.) and German Color Group, Koblenz, Germany (Oct 2007).
RGB+ Improving Color Imaging with Extra Information, Xerox Parc, Palo Alto, USA (February 2019).
Vision, Imaging, and Machine Learning: Fact and Fancy, Workshop and Lecture Series on the Law & Economics of Innovation, ETH Zürich, Switzerland (October 2018).
Digital Photography: How do we quantify Beauty, Innovation Forum Lausanne and Club Photo EPFL, EPFL, Lausanne, Switzerland. (October 2018).
Deep Learning, Extracting Syntax and Semantics from Images and Videos (with F. Kaplan), Searching Through Seeing: Optimizing Computer Vision Technology for the Arts Symposium, Frick Collections, New York, NY, USA (April 2018).
Wenn Computer Bildlegenden Schreiben, Abendvortrag im Rahmen der Wechselausstellung “Netzwerk Schweizer Pressefotografie,” Stadtmuseum Aarau, Switzerland (February 2018).
Deep Learning in Visual Computing, 1st Sino-Swiss Artificial Intelligence Conference (Sino-Swiss AI 2017), December 2017.
Mining the Flux: Digital Image Classification and Image Retrieval, Photography and Information Technology Workshop, University of Lausanne, Switzerland, November 2017.
Opponent Colors Revisted, Colour Day, University of Lausanne, Switzerland, October 2017.
Near-Infrared for Image Enhancement and Restoration, NITRE Workshop at CVPR 2017, Honolulu, HI, USA, July 2017.
Color and Spectral Information in Modern Computer Vision, ECCV 2016 / ACM Multimedia Joint Invited Tutorial Day, Amsterdam, NL, October 2016.
Semantic-Improved Color Imaging Applications: It Is All About Context, FWS2015 – Farbworkshop, Universität Koblenz – Landau, Germany, September 2015.
Introducing Digital Humanities in an Engineering School: New Data, New Approaches, IS&T/SPIE Electronic Imaging: Human Vision and Electronic Imaging XX (HVEI XX), San Francisco, CA, USA, February 2015.
Introducing Digital Humanities in an Engineering School: New Data, New Approaches, IS&T/SPIE Electronic Imaging 2015, San Francisco, CA, USA, February 2015.
IVRL Research, Philips Research, Eindhowen, The Netherlands, May 2014.
CIE Colorimetry, University of Geneva, Dental School, Genevy, Switzerland, March 2014.
Opponent Color Revisited, IIT Kanpur, Computer Science Department, Kanpur, India, March 2014.
The Use of Photographs in the Humanities, International College on New Approaches to the Digital Humanities, Ca’Foscari University, Venice, Italy, October 2013.
RGB++: How Side Information Improves Computational Photography and Computer Vision, Qualcomm Augmented Reality Lecture Series, TU Vienna, April 2013.
Opponent Colors Revisited, Computer and Information Science Department, University of Konstanz, Germany, January 2013.
Le Numérique au Service du Patrimoine, 4e Rencontres des Patrimoines, Université de Lausanne, Switzerland, November 2012.
The Opportunities and Challenges of 4-Channel (RGB+NIR) Image Acquisition on a Single Sensor, CMOS Emerging Technologies (CMOSET), Vancouver, Canada, July 2012.
Improving the Visible with the Invisible: Incorporating near-infrared cues in computational photography and computer vision tasks, Qualcomm, San Jose, February 2012.
Computational Photography and Near-Infrared: Exploiting Near-Infrared to Advance Computational Photography and Computer Vision, 48th SID International Symposium, Seminar and Exhibition (SID 2010), Seattle, WA, USA (May 2010).
The impact of patent thickets on the protection of image-recording devices, European Patent Forum, Prague, Czech Republic (April 09).
Retinal Modeling in Color Imaging, Ecole d’Hiver sur l’Image Numérique Couleur Toulon, organized by Le Groupe Français pour l’Image Numérique Couleur (GFINC), Toulon, France (Jan 09).
Retinal Modeling in Digital Photography, University of Poitier, Poitier, France (Nov 2008).
Conservation of Ancient Photographs and Preservation of Digital Archives, A World of Colors: From Gabriel Lippmann to Nanophotonics, Paris, France (Oct 08).