The Augmented Vision Department of DFKI led by Prof. Dr. Didier Stricker is offering a Master Thesis topic for curious and passionate students, who want to develop themselves in advanced Deep Learning and 3D Computer Vision. (More guidance and specifics about the thesis will be discussed in the initial interview)

Main Tasks:

• In-depth literature review of recent 6DoF Object Pose Estimation approaches and review of various datasets [2] used in evaluating these methods
• Developing a novel approach to Object Pose Estimation [1] using recent Deep Learning models such as Transformers [3]
• Extensive experimentation and ablation studies on various Object Pose Datasets and comparison to state-of-the-art approaches
• Potentially submitting a concise paper to a Computer Vision conference

Requirements

• Good knowledge of concepts in 3D Computer Vision and Deep Learning
• High-level experience in Python and PyTorch/TensorFlow
• Previous experience in image rendering / dataset creation software like Blender is beneficial

References (Please go through papers [1] and [2] before the interview)

1. Chen, K., Dou, Q.: Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation.  ICCV 2021
2. Sundermeyer, M., Hodan, T., Labbé, Y., Wang, G., Brachmann, E., Drost, B., Rother, C., & Matas, J.E.: BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects. CVPRW 2023
3. Vaswani, A., Shazeer, N.M., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., & Polosukhin, I.: Attention is All you Need. NeurIPS 2017

Apply latest by: 31.08.2024

Contact:

Sandeep Inuganti, PhD Student

Augmented Vision, DFKI

Trippstadter Straße 122, 67663 Kaiserslautern

Email: sain01@dfki.de

Creation of Synthetic Datasets using the Unreal Engine

The Augmented Vision (AV) department at DFKI Kaiserslautern is looking
for a research assistant (Hiwi) for creating a synthetic dataset of
spherical stereo images using the Unreal Engine for the task of human
body pose estimation.

Your Task

• Searching and selecting maps, models and animations
• Placing avatars in maps and applying animations to them
• Placing virtual cameras and recording video sequences
• Recording data on the positions of the cameras and body joints
• Write new and modify existing code for character placement, animation selection and recording
• Help recording a small real-world dataset

What We Expect

• Experience with the Unreal Engine
• Good programming skills in Python and C++
• Reliability and a conscientious way of working
• Good communication skills in English or German

Please send your application (including CV and transcripts) in
electronic form to: Stephan.Krauss@dfki.de

The Augmented Vision Department of DFKI led by Prof. Dr. Didier Stricker, offers a student assistant job (part-time) for curious and passionate students, who want to develop themselves in Advanced Computer Vision.

Your Task

• Researching and developing techniques for vision-language models.
• Data preprocessing and visualization.

Your Qualifications

• Good knowledge of Python.
• Interest in Computer Vision and LLM.
• Master or Bachelor.

Your Benefits

• Acquire skills in the domains of vision-language models.
• Opportunity to produce novel research work in the domain.
• Practical experience in modern Deep Learning techniques

Apply latest by: 31.04.2024

Hours: Min: 10h/week Max: 20h/week

Please attach your cv in the email.

chun-peng.chang@dfki.de

The Augmented Vision Department of DFKI led by Prof. Dr. Didier Stricker, offers a student assistant job (part-time) for curious and passionate students, who want to develop themselves in Advanced Computer Vision.

Your Task

• Researching and developing techniques for hand pose estimation.
• Researching and developing techniques for hand-object interaction.
• Implementing state-of-the-art methods to solve real-world problems such as gesture recognition and hand mesh reconstruction for AR/VR use-cases.

Your Qualifications

• Good knowledge of Python and Pytorch
• Interest in Deep Learning and Computer Vision
• Master or high semester Bachelor

Your Benefits

• Acquire skills in the domains of hand pose estimation, hand mesh reconstruction and hand-object interaction.
• Opportunity to produce novel research work in the domain of hand-object interaction.
• Opportunity to start your thesis with us.
• Practical experience in modern Deep Learning techniques

Application Process:

• Solve the tasks specified in the doc and email me the solution.
• An interview will be scheduled to discuss the solution.
• If everything goes well, the Hiwi contract starts 1 month (usually) after the confirmation of the job offer.

Apply latest by: 15.09.2024

Please feel free to contact us if you have any questions regarding this position:

Christen.Millerdurai@dfki.de

Room 1.21, DFKI-Kaiserslautern