Publications (41)
Singular Values of the Attenuated Photoacoustic Imaging Operator
Peter Elbau, Otmar Scherzer, Cong Shi
We analyse the ill-posedness of the photoacoustic imaging problem in the case of an attenuating medium. To this end, we introduce an attenuated photoacoustic operator and determine…
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
We present the effect of adapting to human preferences on trust in a human-robot teaming task. The team performs a task in which the robot acts as an action recommender to the huma…
Neural network parametrized level sets for image segmentation
Otmar Scherzer, Cong Shi, Thi Lan Nhi Vu
Chan-Vese algorithms have proven to be a first-class method for image segmentation. Early implementations used level set methods with a pixelwise representation of the level set fu…
Neural Network Activation Quantization with Bitwise Information Bottlenecks
Xichuan Zhou, Kui Liu, Cong Shi +2
Recent researches on information bottleneck shed new light on the continuous attempts to open the black box of neural signal encoding. Inspired by the problem of lossy signal compr…
Regularization of Nonlinear Inverse Problems -- From Functional Analysis to Data-Driven Approaches
Clemens Kirisits, Bochra Mejri, Sergei Pereverzev +2
The focus of this book is on the analysis of regularization methods for solving \emph{nonlinear inverse problems}. Specifically, we place a strong emphasis on techniques that incor…
Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes
Shreyas Bhat, Joseph B. Lyons, Cong Shi +1
This paper examines the effect of real-time, personalized alignment of a robot's reward function to the human's values on trust and team performance. We present and compare three d…