Evin Pınar Örnek
M.Sc. Evin Pinar Örnek
Institute of Informatics
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
News
- July 2022 - 1 paper accepted at ECCV
- July 2022 - Summer internship at Amazon Lab126 - California
- June 2022 - 1 paper accepted at MICCAI - as Oral
- February 2022 - 1 paper accepted at IEEE Robotics and Automation Letters
- September 2021 - Received Google research grant
- September 2020 - 1 paper accepter at IEEE Robotics and Automation Letters
- June 2020 - 1 paper accepted at CVPR Workshops - Learning with Limited Labels
Research Interests
- 3D computer vision and deep learning
- Indoor scene understanding and representations
- Few-shot & zero-shot learning
- Monocular depth prediction
Education
- 2020 - M.Sc. Informatics, Technical University of Munich, Germany
Thesis topic: "Rethinking Deep Learning Based Monocular Depth Prediction"
- 2017 - B.Sc. Computer Engineering, Boğaziçi University, Istanbul, Türkiye
Student Projects
If you're interested in thesis & guided research, feel free to reach me out!
| Semester | Type | Status | Topic | by | Material |
|---|---|---|---|---|---|
| 2022 SS | Guided Research | ongoing | Part Instance Segmentation in Point Clouds | Marta Hasny | |
| 2021/22 WS/SS | Master's Thesis | completed | Dissecting 3D Capsule Networks | Dilara Gökay | |
| 2021/22 WS/SS | Master's Thesis | completed | Semantic Edits in the Latent Space of 3D GANs | Enis Simsar | |
| 2021/22 WS | Master's Thesis | completed | Comparing GNNs for 3D Semantic Scene Graphs | Fabiola Passini | github |
| 2021/22 WS | Master's Thesis | completed | Realizing 3D Scene Graphs for Surgical Operating Rooms | Ege Özsoy (now Ph.D. student at CAMP) | |
| 2021 SS | Guided Research | completed | 3D Capsule Networks for Rotation Invariancy | Dilara Gökay | github |
| 2021 SS | Guided Research | completed | Occlusion Boundary Aware Monocular Depth Prediction | Enis Simsar | paper |
| 2020/21 WS | Master's IDP | completed | 3D Object Detection and Flow Estimation in Dynamic Surgical Enviroments | Dilara Gökay, Enis Simsar | |
| 2020/21 WS | Master's Thesis | completed | Towards Monocular Depth Prediction Benchmarking | Shristi Mudgal (now machine learning engineer) | |
| 2020/21 WS | Master's IDP | completed | Exploring 3D Scene Graphs for Surgical Operating Rooms | Ege Özsoy | paper |
Teaching
Winter term 2022/23
| Title | Dates | Type | Duration | Lecturer (assistant) |
|---|---|---|---|---|
| Praktikum on 3D Computer Vision (IN2106, IN4313) |  | PR | 6 |
Professional Services
- Reviewer at:
- CVPR, NeurIPS, 3DV, IROS, RAL, ICRA, IEEE VR
- Volunteer at:
- SIGGRAPH 2019, EMNLP 2019, ICLR 2020, NeurIPS 2020
- External volunteer teaching:
- "Computer vision for autonomous driving" at 2020 Inzva Labs
- "Intro to programming with Java" at 2020 Stanford CS Bridge