• Lectures by Hazim Kemal Ekenel of Istanbul Technical University , Turkey.

      • We are honored to host Hazim Kemal Ekenel for his interesting lecture "Human Centered Computer Vision".

      • Date: May 20th, 2019   Time: 11.00-12.00

      • @ "Sala Multimediale", Dipartimento di Ingegneria.

      • The event is technically sponsored by the IEEE Italy Section Biometric Council.

      • Abstract: Facial image processing and analysis is the task of automatically analyzing face images in order to acquire information about the depicted persons. This includes a person's identity, emotional state, facial gestures, age, and gender. The large number of European projects that involves facial image processing as a part shows its crucial role in a wide range of application domains, such as security, smart environments, human-computer interfaces, and content-based image and video analysis. Considering the advanced security needs of the society and the shift to the paradigm of human-centered computing for natural interfaces, the interest in face processing is expected to continue with increasing pace. In this talk Dr. Ekenel is going to present an overview of facial image processing and analysis research activities, as well as their recent work on deep learning @ SiMiT Lab (http://simitlab.itu.edu.tr/). The covered topics will be about face alignment, face recognition, facial expression analysis, and their applications. Deep learning topics like transfer learning, dataset bias, domain adaptation, and context adaptation will also be discussed.

      • Bio: Dr. Ekenel (https://web.itu.edu.tr/ekenel/) is an Associate Professor at the Department of Computer Engineering in Istanbul Technical University in Turkey and a Host Professor at the Signal Processing Lab 5 of École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. He received his Ph.D. degree in Computer Science from the University of Karlsruhe (TH) in 2009. He has founded the Facial Image Processing and Analysis group (http://face.cs.kit.edu/) at the Department of Computer Science in Karlsruhe Institute of Technology. He was the task leader for face recognition in several large-scale European projects. His face analysis technology has been used by several research labs and companies and has taken part in several demo and press events. He has received the EBF European Biometric Research Award in 2008 for his contributions to the field of face recognition and with the systems they have developed with his team, he received the Best Demo Award at the IEEE International Conference on Automatic Face and Gesture Recognition in 2008. He has coordinated the Benchmarking Facial Image Analysis Technologies (BeFIT) initiative and he was the primary organizer of the BeFIT workshops 2011 and 2012.


  • Lectures by Anderson Rocha of University of Campinas, Brazil.

      • We are honored to host Anderson Rocha for his interesting lecture "Connecting Existing Pieces of Evidence in Time and Space for Understanding Real-World Events".

      • Date: March 14th, 2019   Time: 11.00-12.00

      • @ "Sala Multimediale", Dipartimento di Ingegneria.

      • Abstract: In this talk, we will discuss problems associated with synchronizing specific events in space and time (X-coherence), fact-checking, and mining persons, objects and contents of interest from various and heterogeneous sources including - but not limited to - the internet, social media and surveillance imagery. For that, we seek to harness information from various media sources and synchronize the multiple textual and visual information pieces around the position of an event or object as well as order them so as to allow a better understanding about what happened before, during, and shortly after the event. After automatically organizing the data and understanding the order of the facts, we can devise and deploy solutions for mining persons or objects of interest for suspect analysis/tracking, fact-checking, or even understanding the nature of the said event. Additionally, by exploring the possible existing links among different pieces of information, we aim at further designing and developing media integrity analytics tools to hint at existing forgeries, sensitive content (e.g., violent content, child pornography), and spreading patterns of multimedia objects online. With demanding and sophisticated crimes and terrorist threats becoming ever more pervasive, allied with the advent and spread of fake news, our objective is to use the developed solutions to help us answering the four most important questions in forensics regarding an event: "who," "in what circumstances," "why," and "how," thus identifying the characteristics and circumstances in which an event has taken place.

      • Nano-bio: Anderson Rocha is an associate professor at the Institute of Computing, University of Campinas (Unicamp), Brazil. He received his B.Sc (Computer Science) degree from Federal University of Lavras (UFLA), Brazil in 2003, and his M.Sc. and Ph.D. (Computer Science) from University of Campinas (Unicamp), Brazil, in 2006 and 2009, respectively. His main interests include Digital Forensics, Reasoning for Complex Data and Machine Intelligence. He has actively worked as a program committee member in several important Computer Vision, Pattern Recognition, and Digital Forensics events and is an associate editor of important international journals such as the IEEE Transactions on Information Forensics and Security (T.IFS), Elsevier Journal of Visual Communication and Image Representation (JVCI), the EURASIP/Springer Journal on Image and Video Processing (JIVP) and the IEEE Security & Privacy Magazine. He is an elected affiliate member of the Brazilian Academy of Sciences (ABC) and the Brazilian Academy of Forensic Sciences (ABC). He is a two-term elected member of the IEEE Information Forensics and Security Technical Committee (IFS-TC) and, in December, 2017, he has been elected vice-chair of this committee for the 2018 term. He is a Microsoft Research and a Google Research Faculty Fellow, important academic recognitions given to researchers by Microsoft Research and Google, respectively. In addition, in 2016, he has been awarded the Tan Chin Tuan (TCT) Fellowship, a recognition promoted by the Tan Chin Tuan Foundation in Singapore. He has been the principal investigator of a number of research projects in partnership with public funding agencies in Brazil and abroad as well as national and multi-national companies having already deposited and licensed several patents. Since April 2017, he has been the Associate Dean of the Institute of Computing, University of Campinas (Unicamp).


  • Best Demo Award of the 9th GTTI-IEEE SPS thematic meeting on Multimedia Signal Processing, Jan. 2019

      • Ridvan Salih Kuzu has won the Best Demo Award of the 9th GTTI-IEEE Signal Processing Society thematic meeting on Multimedia Signal Processing, Jan. 2019, with the contribution titled "On-the-fly finger vein biometrics".
      • The aim of the demo was to show a prototype of a finger-vein biometric recognition system working in a real-life situation. Specifically, our proposed architecture allows the user to have the finger-vein-patterns acquired while on the move.
      • More details about vein biometrics related research activity at the BioMedia4n6 Lab can be found here
  • Lectures by R.N.J. Veldhuis (Raymond) of University of Twente

    • We are honored to host R.N.J. Veldhuis (Raymond) for two interesting lectures:

      • Likelihood-ratio classifiers in biometrics

        date: 16 October 2018     Time: 10:00 AM to 11:00 AM
        Details
        abstract

      • Examples of the application of biometrics in forensics

        date: 19 October 2018     Time: 10:00 AM to 11:00 AM
        Details
        abstract

      The events are technically sponsored by the IEEE Italy Section Biometric Council.

  • European Association for Biometrics Research Award 2018

    • Our former PhD student Rig Das has won the prestigious European Association for Biometrics (EAB) Research Award 2018 in Darmstadt, Germany, on September 26th, for his PhD related research work titled "Deep Learning for Face and Vein Biometrics: A Case Study".

      Thesis abstract

  • EUSIPCO 2018




  • Ph.D. Positions within the H2020 MSC-ITN "enhAnced Mobile BiomEtRics" (AMBER) project

      • The Biometrics and Multimedia Security Lab, Engineering Department, Roma Tre University, within the H2020 MSCA-ITN AMBER (enhAnced Mobile BiomEtRics) European Project (https://www.amber-biometrics.eu/), filled up two PhD positions with the respective following thematic areas:
        • (ESR 3) Template protection in biometric-based mobile scenarios
        • (ESR 4) Multibiometrics architectures and privacy in a mobile environment

  • Best Demo Award of the 7th GTTI-IEEE SPS thematic meeting on Multimedia Signal Processing, Jan. 2017

    • Emanuela Piciucco won the Best Demo Award of the 7th GTTI-IEEE Signal Processing Society thematic meeting on Multimedia Signal Processing, Jan. 2017,with the contribution titled "EEG based biometric recognition using a low-cost DIY system" (http://www.isip40.it/gtti.mmsp2017/node/15)
    • The aim of the demo was to show an example of a biometric recognition system working in a real-life situation based on EEG signals captured while the user is asked to stay in a "resting state condition with closed eyes". The data used for the identification task are captured using an acquisition device based on a low-cost hardware and a 3D printable headset.
    • More details about EEG related research activity at the BIOMEDIA4N6 Lab can be found here



  • MIT Technology Review: The Best of the Physics arXiv

  • IEEE Information Forensics and Security Technical Committee