Seminar: Human activity analysis, Selen Pehlivan, TED University [09.06.2016]

Selen Pehlivan, TED University

Title: Human activity analysis


Date: June 9, 2016 Thursday

10:00

Abstract: In this talk, I will summarize our work on human activity analysis. First, focusing on multiple camera views, I will describe our method for fusion of frame judgments. We have shown that when there are enough overlapping views to generate a volumetric reconstruction, our recognition performance is comparable with that produced by volumetric reconstructions. Then, I will shortly introduce our recent work on weakly-supervised spatial-temporal action localization.

In the second part of the talk, I will present our work on fine-grained categorization. We introduce a unified approach for classification and keypoint localization, targeting subcategories with wide pose variations and high intra-class similarities. We apply our method to identifying instances of birds.

Finally, I will present our recent effort on action understanding to investigate the representational properties of the Action Observation Network using fMRI and modeling. In our study, we used powerful computational tools from computer vision as well as attribute-based semantic models to represent the videos consisting of natural actions, and linked those models to the brain responses (fMRI) using representational similarity analysis.

Bio: Selen Pehlivan holds a B.S. (Bilkent University, 2004) and an M.S. (Koç University, 2006) in Computer Engineering. Between 2004 and 2006, she was a member of the 3DTV EU Project. She got her Ph.D. degree (Bilkent University, 2012) also in Computer Engineering. From August 2009 to February 2011, she was a visiting scholar in Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC). During her graduate studies, she worked as a research and teaching assistant. Before joining TED University, she was a postdoctoral research associate in Computer Vision Group at University of Central Florida (UCF).

Dr. Pehlivan is working on computer vision and machine learning with a primary focus on human activity understanding with video interpretation and object recognition.


Workshop: "Teoriden Pratiğe Yazılım Teknolojileri ve Süreçleri" [11.05.2016]


Program:
09:00-10:00 Açılış (Ömer Gökçeli)
10:00-10:30 Proje Yönetimi (Onur Koçoğlu)
Çay-kahve arası
10:45-11:15 İş Analizi (Songül Nişancı)
11:15-11:45 Java Yazılım Geliştirme (Salim Şahin)
Çay-kahve arası
12:00-12:30 .Net Yazılım Geliştirme
12:30-13:00 Soru-cevap



Workshop: Graduate Research Workshop and Exhibition of Senior Projects [09.05.2016]

Graduate Research Workshop and Exhibition of Senior Projects

Computer Engineering Conference Hall, Beytepe Campus

Date: May 9, 2016 Monday

09:00 - 15:30

For more information about the workshop program click here.


Seminar: Boosting Efficiency in Large-Scale Search Engines [15.3.2016]

Abstract

This talk focuses on various mechanisms that aim to improve the efficiency of search on a large-scale distributed architecture. I will start with a quick overview of the core components of a search engine and discuss why efficiency does matter. Next, I will cover a variety of issues and methods regarding caching and pruning, which are two key mechanisms for fast query processing in practical search engines.

Ismail Sengor Altingovde
METU CS

Date: March 15, 2016 Tuesday, 11am, seminar room

Bio:
Ismail Sengor Altingovde is currently an assistant professor in the Computer Engineering Department of Middle East Technical University (METU) at Ankara, Turkey. He has received his B.S., M.S. and Ph.D. degrees, all in Computer Science, from Bilkent University (Turkey) in 1999, 2001 and 2009, respectively. Before joining METU, he has worked as a postdoctoral researcher at Bilkent University and L3S Research Center in Hannover, Germany. He is one of the recipients of Yahoo! Faculty Research and Engagement Program (FREP) award in 2013.


Hacettepe University Department of Computer Engineering
06800 Beytepe Ankara