Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

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We introduce the concept of "universal"password model - a password model that, once pre-trained, can automatically adapt its guessing strategy based on the target system. To achieve this, the model does not need to access any plaintext passwords from the t ...

In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

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Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

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Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Chat with Graph Search

Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data

Incorporating Projective Geometry into Deep Learning

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Educational Soft Underwater Robot with an Electromagnetic Actuation

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering

Glenohumeral joint force prediction with deep learning

Soft robotics for farm to fork: applications in agriculture & farming

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Safe Deep Neural Networks