Picture of Emec Ercelik

Emec Ercelik

Technical University of Munich

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München


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

Thanks for your interest. I will no longer be able to provide thesis topics.


Thesis Supervision

Ongoing:

Finished:

  • Guided research: Self-supervised scene flow approaches for 3D lidar point clouds, Zhijie Yang, Nov.2021-Sep.2022
  • Guided research: Analysis of flow-based 3D perception tasks, Hanzhen Zhand, Dec. 2021-Jun.2022
  • Master's thesis: Spatio-temporal Graph Neural Networks for Object Detection, Maximilian Listl, Nov. 2021-Jun.2022
  • Master's thesis: Self-supervised 3D Multi-object Tracking, Burak Tomruk, Nov. 2021-May 2022
  • Master's thesis: Multi-frame self-supervised 3D object detection, Pınar Topçam, Nov. 2021-May 2022
  • Bachelor's thesis: Analysis of Self-supervised Scene Flow for Perception, Aysu Konyala, Nov. 2021-Apr.2022
  • Master's thesis: Spatio-temporal Graph Neural Networks for 3D Object Detection, Mingyu Liu, Oct. 2021-Feb.2022
  • 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