[Closed] Master Internship on Deep Statistical Manifolds
The internship aims to explore the usefulness of the Fisher-Ráo metric combined with deep probabilistic models.
Category: Closed Job Offers
[Closed] Master Internship on Social Robotics with ChatGPT
The internship aims to develop a controller for a social mobile robot (ARI) to have a conversation with people using large language models (LLMs) such as ChatGPT.
[Closed] Master Internship on Automated Discovery of Moving Lifeforms in Celluar Automata using Deep Neural Networks
Project We are surrounded by dynamic and complex systems ranging from the formation process of galaxies to production systems, such as for the synthesis of medical drugs. Exploring these systems in simulation or by experiment helps us to understand them and to discover new and interesting behaviors and outcomes. This…
[Closed] Master Internship on Meta and Transfer Learning for Deep Reinforcement Learning in Social Robotics
Project The internship is part of our research project into Deep Reinforcement Learning (DRL) [1,2] for the European SPRING project [3]. SPRING aims to develop control mechanisms for humanoid robots [4] that will be employed in health care environments. The robots should communicate with patients, their families, and caretakers to…
[Closed] Master of science internship: Dynamic face modeling for audio-visual speech processing
The analysis of human faces has been a thoroughly investigated topic for the last decades, leading to highly performant 2D and 3D face representations and face recognition models and systems. Nevertheless, the analysis of face movements has been, comparatively, much less investigated. Face movements play a crucial role in human-to-human,…
[Closed] Master internship on Switching Variational Autoencoders for Audio-visual Speech Separation
Context: Over the past years, variational autoencoders (VAEs) have proven efficient for generative modeling of complicated signals, e.g. speech and audio [1]. Recently, they have successfully been applied to audio-visual speech separation (AVSS) [2], where the goal is to separate a target speech from a mixture of several speech signals,…
[Closed] Master Internship on Disentanglement of Latent Codes in Dynamical Variational Autoencoders
Context: Deep latent variable models (DLVMs) provide an effective way to model the underlying hidden generative process of natural signals and images [1]. This allows us to approximate the probability density functions of data which in turn can be used for either generating new examples resembling training data or do…
[Closed] Master Internship on Meta and Transfer Learning for Deep Reinforcement Learning in Robotics
Topic: The internship is part of our research project into Deep Reinforcement Learning (DRL) [1] for the European SPRING project. SPRING aims to develop control mechanisms for mobile robots that will be employed in hospitals and health care environments. The robots should communicate with elderly people, their families and caretakers…
[Closed] Master Internship on Audio-visual speech separation using variational auto-encoders
Topic: In this Master thesis, we address the problem of speech separation given single-channel microphone mixed speech and video frames of the involved speakers. Although there exist several audio-only speech separation methods [1], here, we aim to utilize also the visual information, that is, video frames of speakers’ lips. This…
[Closed] Master Internship on face alignment for audio-visual speech enhancement
In many audio-visual applications, e.g., speech enhancement and speech recognition, it is desirable to have aligned images of the mouth region such that a deep neural network can extract reliable visual features. Indeed, the quality of the extracted visual features impacts the performance of audio-visual based applications. In reality, however,…
[Closed] Master Internship on Social Robotics with ChatGPT
The internship aims to develop a controller for a social mobile robot (ARI) to have a conversation with people using large language models (LLMs) such as ChatGPT.
[Closed] Master Internship on Automated Discovery of Moving Lifeforms in Celluar Automata using Deep Neural Networks
Project We are surrounded by dynamic and complex systems ranging from the formation process of galaxies to production systems, such as for the synthesis of medical drugs. Exploring these systems in simulation or by experiment helps us to understand them and to discover new and interesting behaviors and outcomes. This…
[Closed] Master Internship on Meta and Transfer Learning for Deep Reinforcement Learning in Social Robotics
Project The internship is part of our research project into Deep Reinforcement Learning (DRL) [1,2] for the European SPRING project [3]. SPRING aims to develop control mechanisms for humanoid robots [4] that will be employed in health care environments. The robots should communicate with patients, their families, and caretakers to…
[Closed] Master of science internship: Dynamic face modeling for audio-visual speech processing
The analysis of human faces has been a thoroughly investigated topic for the last decades, leading to highly performant 2D and 3D face representations and face recognition models and systems. Nevertheless, the analysis of face movements has been, comparatively, much less investigated. Face movements play a crucial role in human-to-human,…
[Closed] Master internship on Switching Variational Autoencoders for Audio-visual Speech Separation
Context: Over the past years, variational autoencoders (VAEs) have proven efficient for generative modeling of complicated signals, e.g. speech and audio [1]. Recently, they have successfully been applied to audio-visual speech separation (AVSS) [2], where the goal is to separate a target speech from a mixture of several speech signals,…
[Closed] Master Internship on Disentanglement of Latent Codes in Dynamical Variational Autoencoders
Context: Deep latent variable models (DLVMs) provide an effective way to model the underlying hidden generative process of natural signals and images [1]. This allows us to approximate the probability density functions of data which in turn can be used for either generating new examples resembling training data or do…
[Closed] Master Internship on Meta and Transfer Learning for Deep Reinforcement Learning in Robotics
Topic: The internship is part of our research project into Deep Reinforcement Learning (DRL) [1] for the European SPRING project. SPRING aims to develop control mechanisms for mobile robots that will be employed in hospitals and health care environments. The robots should communicate with elderly people, their families and caretakers…
[Closed] Master Internship on Audio-visual speech separation using variational auto-encoders
Topic: In this Master thesis, we address the problem of speech separation given single-channel microphone mixed speech and video frames of the involved speakers. Although there exist several audio-only speech separation methods [1], here, we aim to utilize also the visual information, that is, video frames of speakers’ lips. This…
[Closed] Master Internship on face alignment for audio-visual speech enhancement
In many audio-visual applications, e.g., speech enhancement and speech recognition, it is desirable to have aligned images of the mouth region such that a deep neural network can extract reliable visual features. Indeed, the quality of the extracted visual features impacts the performance of audio-visual based applications. In reality, however,…
