Department of Computer ScienceAcronym | D-INFK | Homepage | http://www.inf.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | Department of Computer Science | Child organizations | |
Open OpportunitiesThe project focuses on identifying distinct object instances (such as tables and chairs) within 3D reconstructions of indoor environments. - Computer Vision
- Master Thesis, Semester Project
| Digital humans are a very popular and fast-growing area with manifold applications in AR/VR. However, the dynamic of the existing head avatars is mostly limited to the facial region. In this project, we will focus on realistically rendered avatars that would include realistic modeling of both faces and hair with physically accurate dynamics and interactions. - Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Pulmonary hypertension (PH) in newborns poses significant diagnostic challenges due to its association with various diseases and its impact on morbidity and mortality. Early and accurate detection is essential for effective management, yet current manual echocardiographic assessment is time-consuming and requires expertise. This project aims to develop an automated machine learning method using multimodal variational autoencoders (VAEs) and diffusion models to predict PH in newborns from ultrasound, ECG data, and clinical variables. Leveraging a cohort of 270 newborns from the University Children’s Hospital Regensburg, the project will enhance interpretability and feature representation by assessing the significance of each data type and utilizing synthetic data augmentation. The hybrid approach of combining VAEs with diffusion models is expected to improve prediction accuracy and generalization, advancing early detection and understanding of PH in newborns. - Biomedical Engineering, Computer Communications Networks, Electrical and Electronic Engineering, Image Processing, Signal Processing
- ETH Zurich (ETHZ), Master Thesis
| Estimating human poses within global trajectories is critical for applications such as augmented reality and sports analytics, yet it often demands precisely calibrated cameras and significant computational efforts. With advancements in deep learning and pose estimation technologies, various models can be trained using 2D or 3D motion data. However, effectively integrating these models to predict and analyze human movement trajectories in a continuous and dynamic environment remains challenging. This project aims to create a robust system that estimates and predicts human poses accurately, facilitating advancements in dynamic pose analysis and real-world applications. - Information, Computing and Communication Sciences
- ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project
| Reinforcement learning (RL) can potentially solve complex problems in a purely data-driven manner. Still, the state-of-the-art in applying RL in robotics, relies heavily on high-fidelity simulators. While learning in simulation allows to circumvent sample complexity challenges that are common in model-free RL, even slight distribution shift ("sim-to-real gap") between simulation and the real system can cause these algorithms to easily fail. Recent advances in model-based reinforcement learning have led to superior sample efficiency, enabling online learning without a simulator. Nonetheless, learning online cannot cause any damage and should adhere to safety requirements (for obvious reasons). The proposed project aims to demonstrate how existing safe model-based RL methods can be used to solve the foregoing challenges. - Engineering and Technology
- Master Thesis
| The goal of this project is to use language prompts to help find object parts in 3D. - Computer Vision
- Master Thesis, Semester Project
| The objective of this project is to determine the metric relative pose between two images using object-to-object matches. - Computer Vision
- Master Thesis, Semester Project
| We extend the lamar.ethz.ch benchmark to develop accurate SLAM methods that can co-register drones, legged robots, wheeled robots, smartphones, and mixed reality headsets based on visual SLAM. - Computer Vision, Intelligent Robotics
- Bachelor Thesis, Master Thesis, Semester Project
| What optimizations are necessary to make reflective PPG sensors reliably work on tissue with limited blood perfusion?
Note: Candidates should have experience in hardware design (analog circuits, embedded systems, and basic signal processing). - Electrical and Electronic Engineering, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Fast moving objects are defined as objects that move over significant distances over exposure time of a single image or video frame. Thus, they look significantly blurred. Detection, tracking, and deblurring of such objects have been studied in recent years. However, there are still no methods for robust retrieval of such objects in large image collections. - Computer Graphics, Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Master Thesis
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