Enformatik Enstitüsü

MODSİM EABD Çoklu Ortam Bilişimi Yüksek Lisans Programı öğrencisi Nevzat Göksan Güner, "PROCEDURAL ROAD NETWORK MODEL GENERATION" konulu tezini, 12 Ocak 2018 tarihinde saat 10:30'da A-212 no.lu toplantı salonunda savunacaktır.

Tez Özeti : Genis çaplardaki yol aglarını modellemek, 3 boyutlu modellemeciler için ciddi zaman gerektiren bir istir. Eger modelin temel kısımlarını prosedürel olarak daha pratik bir sekilde yaratırsak, modellemecilere detaylar üzerinde çalısmaları için daha fazla zaman saglayabiliriz. Biz bu tezde düsük detay ve hafif yükte üç boyutlu yol agı modelleri olusturulmasına yogunlasıyoruz. Aynı zamanda istendigi gibi yol seritlerinin ve çizgilerinin degistirilmesine olanak saglayan yeni bir yöntem tanıtıyoruz. Sistemimiz geleneksel yol agı modelleme uygulamalarında yer alan kavsak ve kaldırım gibi temel ögeleri de içerisinde barındırıyor. Daha iyi performansa sahip olan 3 boyutlu modeller üretebilmek adına düsük sayıda poligonlardan olusan düz ve çembersel yol parçaları kullanıyoruz. Bu tezde poligon ve doku masraflarını kısarak 3 boyutlu prosedürel yol agı üretebilecek bir sistem olusturmayı amaçlıyoruz.

Sağlık Bilişimi EABD Doktora ve Yüksek Lisans Programlarına 2017-2018 Eğitim Öğretim Yılı bahar dönemi için yapılan başvurular neticesinde,

10 Ocak 2018 Çarşamba günü mülakat yapılacaktır.

Mülakata davet edilen aşağıda isimleri yer alan adayların, belirtilen saatte Enformatik Enstitüsü Konferans Salonu-2 önünde hazır bulunmaları beklenmektedir.

Doktora Programı

Mülakat Saati : 09:30 - 12:30

Yüksek Lisans Programı

Mülakat Saati : 13:30 - 16:30

Sağlık Bilişimi EABD Biyoenformatik Yüksek Lisans Programına 2017-2018 Eğitim Öğretim Yılı bahar dönemi için yapılan başvurular neticesinde,

09 Ocak 2018 Salı günü mülakat yapılacaktır.

Mülakata davet edilen aşağıda isimleri yer alan adayların, belirtilen saatte Enformatik Enstitüsü Konferans Salonu-2 önünde hazır bulunmaları beklenmektedir.

Mülakat Saati : 13:30 - 17:00

Dr. Oya Çeliktutan (Imperial College London) is going to give a seminar titled "Human Behaviour Analysis in Interactions with Virtual Agents and Robots" for Multimedia Informatics - Multimedia Standards (MMI 726) course. You are all kindly invited.

Location: Conference Room (124), METU Informatics Institute
Time: January 5, 2018, 13:30-14:30

Title: Human Behaviour Analysis in Interactions with Virtual Agents and Robots

Abstract:

Socially intelligent agents and robots are soon to be a fact of everyday life due to the rapid growth in the fields of affective computing, human-machine interaction and social robotics. Numerous innovative applications in healthcare, education and entertainment motivate the development of ever more sophisticated machines that are capable of interpreting human behaviours and adapting to user’s profile, namely, personality, preferences and needs. To realise this vision, one of the prominent research problems is automatic personality analysis. Personality is key in communication: people observe others and form impressions regarding their personalities, and adapt their own behaviours to maintain others’ engagement during social interactions. Doing so is a natural routine for humans. In this talk, I will show how this mechanism can be automated for human-virtual agent and human-robot interactions, and I will highlight our research findings on personality and its relationship with engagement. I will continue my talk with a brief introduction to our current work towards deploying such technologies in healthcare, and I will conclude by discussing open problems in the area.


Bio:

Oya Celiktutan is a postdoctoral researcher in the Personal Robotics Lab in the Department of Electrical and Electronic Engineering at Imperial College London, United Kingdom. Before this, she was a postdoctoral researcher in the Computer Lab at University of Cambridge between 2016 and 2017, and in the School of Electronic Engineering and Computer Science at Queen Mary University of London between 2013 and 2015. She obtained her PhD degree in Electrical and Electronic Engineering from Bogazici University, Turkey, in collaboration with National Institute of Applied Sciences of Lyon, France, in 2013. Her research focuses on computer vision and machine learning within a context of applied work in the areas of human behaviour understanding, affective computing, human-computer interaction and human-robot interaction. She is particularly interested in building smart algorithms to equip machines with the capability of sensing, recognising and interpreting human behaviours for enabling personalised, engaging and assistive interactions with machines.

Asst. Prof. Serdar Çiftçi (Harran University) is going to give a seminar on Visual Privacy Protection Using False Colors, for Multimedia Informatics - Research Methods (MMI 700) course. You are all kindly invited. Sorry for multiple copies.

Location: Conference Room (124), METU Informatics Institute
Time: January 3, 2018, 11:30-12:30

Visual Privacy Protection Using False Colors

Abstract:

Privacy protection in video surveillance is an important problem, and it will become even more important, as video surveillance is gains in popularity. However, simple methods for protecting privacy are not sufficient as they do not contain all the desired attributes that is expected from a good privacy protection algorithm. Privacy protected images must be reversible if the need arises to view them as unprotected (e.g., during a criminal investigation). Furthermore, protected image should not prohibit non-private statistics to be extracted. Also, the protected content should not be visually disturbing as it is the case with some of the existing privacy protection methods. Perhaps most importantly, the protection must be continuous: that is faces even in a single frame of a video should not remain unprotected. The algorithms that rely on computer vision techniques may therefore be vulnerable to this problem: if an algorithm fails to detect a sensitive region, it will remain unprotected.

In this seminar, methods that are commonly used for visual privacy protection will be reviewed and then a balanced method that was proposed in Ciftci's Ph.D. thesis will be mentioned. The proposed method is reversible, does not create disturbing outputs, do not prohibit collecting non-private information, does not rely on computer vision techniques.

Bio:

Serdar Ciftci is an Assistant Professor at the Department of Computer Engineering at Harran University. He has obtained his B.Sc. degree from the Department of Computer Engineering at Selcuk University in 2007. He received both his M.Sc. and Ph.D. degrees from the Department of Computer Engineering at Middle East Technical University (METU) respectively in 2001 and 2017. He has been in Multimedia Signal Processing Group Laboratory at École Polytechnique Fédérale de Lausanne (EPFL) as a visiting researcher between January-March 2016. His primary research interest is visual privacy protection. He is a reviewer for various international journals and conferences such as TUBITAK Turkish Journal of Electrical Engineering & Computer Sciences, Selcuk University Journal of Engineering Science and Technology (SUJEST), and ACM Multimedia 2017.

Next Wednesday, Dr. Çiğdem Beyan (Istituto Italiano di Tecnologia) is going to give a seminar on Social Signal Processing (SSP) approaches, particularly for emergent leadership, for Multimedia Informatics - Research Methods (MMI 700) course. You are all kindly invited. Sorry for multiple copies.

Location: Conference Room (124), METU Informatics Institute
Time: December 27, 2017, 11:30-12:30

Abstract:

Social interactions are the main facet of human life and also the fundamental research area for social psychology. Even though psychologists have been working on social interactions for a very long time, the automatic analysis of them is a relatively new problem. Social signal processing (SSP) is the field which aims to analyze human interactions in an automatic way using the recent advances in machine analysis (e.g. speech processing, computer vision, machine learning). In this talk, I will survey some approaches and results regarding identification of the social interactions in small group meeting environments particularly for emergent leadership. In detail, a new corpus that has been collected using portable audio and video sensors, novel nonverbal features proposed and the computational methods used will be addressed.

Bio:

Cigdem Beyan is a postdoctoral researcher at Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS) department since September 2015. In PAVIS-IIT, she has been working on social signal processing. She obtained her Ph.D. degree (2015) in School of Informatics, University of Edinburgh, UK, under supervision of Prof. Robert B. Fisher. Her thesis was a part of EU project (FP7) called Fish4Knowledge, in which she mainly investigated fish behaviour understanding. Prior to that, she received her MSc. degree (2010) in School of Informatics, Middle East Technical University where she worked on multiple object tracking and abandoned-object detection utilizing multi-modalities. Beyond her research background, she has a teaching experience (in Turkey and in UK) for 6 years. Additionally, she has been an Associate Fellow of the Higher Education Academy in recognition of attainment against the UK Professional Standards Framework for teaching and learning support in higher education since 2014. She contributed to the computer vision, machine learning and multimedia domains by being (co-) author of more than 25 research papers and has a PCT Patent Application to WIPO. She is a reviewer for various international journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia and for the conferences such as CVPR, ICCV, BMVC, and ICPR.

LÜTFEN TABLODAKİ TARİH VE SAAT BİLGİLERİNE UYUNUZ. OIBS UZERİNDEKİ SAATLER DOĞRU OLMAYABİLİR.

Doktora yeterlilik sınav takvimi aşağıda belirtilmiştir.

23-24 Kasım 2017 perşembe ve cuma günleri B-116 no.lu toplanti odasinda yazılı sınav yapılacaktır.

Yazılı Sınav başlangıç saati 09:00

Sözlü sınav programı Doktora Yeterlik Komitesi tarafından daha sonra ilan edilecektir.

Doktora yeterlilik sınav takvimi aşağıda belirtilmiştir.

28 Kasım 2017 Salı günü B-116 no.lu toplanti odasinda yazılı sınav yapılacaktır.

Yazılı Sınav başlangıç saati 10:00

Sözlü sınav programı Doktora Yeterlik Komitesi tarafından daha sonra ilan edilecektir.