Picture of Emec Ercelik

Emec Ercelik

Technical University of Munich

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

  • Phone: +49 (89) 289 - 18130
  • Room: 5607.03.057
  • emec.ercelik(at)tum.de

Curriculum Vitae

  • (2017 -Now) Ph.D. candidate, Technical University of Munich
  • (2013-2016) Master of Science Degree in Electronics Engineering, Istanbul Technical University
  • (2008-2013) Bachelor's Degree in Electronics Engineering, Istanbul Technical University

Research Interests

Object Detection, Sensor Fusion, Temporal data processing with deep learning models

 


Open Thesis Topics / Guided Research

If you are interested in 3D object detection, recurrent networks, and sensor fusion, please send me an e-mail with the topic you are interested in, CV, and the list of related work you have done before. Also, you can check the theses titles previously done or the example below, which is already assigned.

Example topics:


Thesis Supervision

Ongoing:

  • Guided research: Analysis of flow-based 3D perception tasks, Hanzhen Zhand, Dec. 2021
  • Master's thesis: Multi-frame self-supervised 3D object detection, Pınar Topçam, Nov. 2021
  • Master's thesis: Spatio-temporal Graph Neural Networks for Object Detection, Maximilian Listl, Nov. 2021
  • Master's thesis: Self-supervised 3D Multi-object Tracking, Burak Tomruk, Nov. 2021
  • Bachelor's thesis: Analysis of Self-supervised Scene Flow for Perception, Aysu Konyala, Nov. 2021
  • Guided research: Self-supervised scene flow approaches for 3D lidar point clouds, Zhijie Yang, Nov.2021
  • Master's thesis: Spatio-temporal Graph Neural Networks for 3D Object Detection, Mingyu Liu, Oct. 2021

Finished:

  • Master's thesis: Attention-based Temporal Frustum Pointnet for 3D Object Detection, Sebastian Grauff, Apr.2021-Jan.2022
  • Master's thesis: Multi-Person and Vehicle Detection and Tracking in Aerial Imagery Sequences using Deep Learning Algorithms, Tsuyoshi Beheim, Apr.2021-Nov.2021
  • Bachelor's thesis: Transfer learning for Temporal 3D Object Detection, Kaan Yılmaz Çaylı, Apr.2021-Aug.2021
  • Bachelor's thesis: Improving orientation estimation for Radar-based object detection, Taner Kurt, Nov.2020-May2021
  • Guided research: Novel methods and challenges of processing time-series data for object detection, Sadık Ekin Özbay, Nov. 2020-Mar.2021
  • Master's thesis: Analysis of 3D Object Association Methods for RGB-D Data, Patrick von Haller, Jun.2020-Feb.2021
  • Master's thesis: 3D object tracking combining LiDAR with temporal image cues, Eda Çiçek, Apr.2020-Dec.2020
  • Bachelor's thesis: Analysis of proposal improvement on Faster RCNN, Salma Mrabet, Jul.2020-Nov2020
  • Master's thesis: 3D object detection using temporal data fusion, Zhiran Yan, Jan.2020-Jul.2020
  • Master's thesis: Efficient object detection and tracking for indoor applications, Robert Walter, Nov.2019-May2020
  • Master's thesis: Multi-Object Tracking in Aerial and Satellite Imagery, Maximilian Kraus, Nov.2019-May2020
  • Master's thesis: Processing video data to improve 2D object detection, Arnd Pettirsch, Oct. 2019-Apr.2020
  • Master's thesis: Deep Learning based People Counting Using 60 GHz FMCW Radar Sensor, Cem Yusuf Aydoğdu, Oct. 2019-Apr.2020
  • Master's thesis: Data fusion from heterogeneous sensor for indoor scenarios, Okan Kamil Şen, Sep.2019-Mar.2020
  • Master's thesis: Radar-based object detection using deep neural networks, Maria Dreher, Jun.2019-Dec.2019
  • Master's thesis: Motion cueing for the control of a car simulator using RNN and RL, Ahmet Burakhan Koyuncu, Apr.2019-Nov.2019
  • Master's thesis: Sensor fusion for object detection on simulator data, Tuba Topaloğlu, Feb.2019-Nov.2019
  • Master's thesis: Sensor fusion through 3D proposals using data generated from simulators, Ruslan Noschajew, Apr.2019-Oct.2019
  • Research internship: Integration of depth information for LSTM-based online video object detection, Mert Keser, Mar.2019-Apr.2019
  • Bachelor's thesis: The recognition and evaluation of traffic signs and its additional information with machine learning in the context of autonomous driving, Tobias Weber, Nov.2018-Apr.2019
  • Guided research: Methods to transfer knowledge from simulation into real-world for object detection problem, Anshul Sharma, Nov.2018-Apr.2019
  • Master's thesis: Evaluation of an object detection model adding recurrency, Daniel Haller, Nov.2018-Apr.2019

Teaching

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Previous semesters

  • Visual feature learning in autonomous driving (SS 2019)
  • Multimodal Temporal Data Processing in Autonomous Driving (WS19/20)
  • Visual feature learning in autonomous driving (SS 2020)
  • Multimodal Temporal Data Processing in Autonomous Driving (WS 20/21)
  • Visual feature learning in autonomous driving (SS 2021)

Publications

2021

2020

  • Ahmet Burakhan Koyuncu; Emec Ercelik; Eduard Comulada-Simpson; Joost Venrooij; Mohsen Kaboli; Alois Knoll: A Novel Approach to Neural Network-based Motion Cueing Algorithm for a Driving Simulator. 31st IEEE Intelligent Vehicles Symposium (accepted), 2020 more… BibTeX Full text (mediaTUM)
  • Maria Dreher; Emec Ercelik; Timo Bänziger; Alois Knoll: Radar-based 2D Car Detection Using Deep Neural Networks. 23rd Intelligent Transportation Systems Conference (ITSC 2020), 2020 more… BibTeX Full text (mediaTUM)
  • Maximilian Kraus; Seyed Majid Azimi; Emec Ercelik; Reza Bahmanyar; Peter Reinartz; Alois Knoll: AerialMPTNet: Multi-Pedestrian Tracking in Aerial Imagery Using Temporal and Graphical Features. 25th International Conference on Pattern Recognition (ICPR 2020), 2020accepted more… BibTeX Full text (mediaTUM)

2019

  • Tobias Weber; Emec Ercelik; Martin Ebert; Alois Knoll: Recognition & Evaluation of Additional Traffic Signs on the example of '80 km/h when wet'. 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019 more… BibTeX Full text ( DOI )

2017

2015