Hardware and Algorithms for Ultrasonic Depth Imaging

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Remote microphone systems significantly improve speech intelligibly performance offered by hearing aids. The voice of the speaker(s) is captured close to the mouth by a microphone, then wirelessly sent to the hearing aids. However, the sound is rendered in ...

Stereo reconstruction is a problem of recovering a 3d structure of a scene from a pair of images of the scene, acquired from different viewpoints. It has been investigated for decades and many successful methods were developed. The main drawback of these ...

Characterization of sound fields in rooms has always been a challenging task. A faithful reconstruction of sound fields in rooms generally would require an impractically high number of microphones. At low frequencies, where sound field can be modeled as a ...

Estimating the 3D poses of rigid and articulated bodies is one of the fundamental problems of Computer Vision. It has a broad range of applications including augmented reality, surveillance, animation and human-computer interaction. Despite the ever-growin ...

Distributed transactions on modern RDMA clusters promise high throughput and low latency for scale-out workloads. As such, they can be particularly beneficial to large OLTP workloads, which require both. However, achieving good performance requires tuning ...

Today, the design of electronic systems is largely automated. The practice of using software automation technologies for the design of electronic hardware is commonly referred to as Electronic Design Automation (EDA). EDA comprises a large set of tools, fr ...

As hardware evolves, so do the needs of applications. To increase the performance of an application, there exist two well-known approaches. These are scaling up an application, using a larger multi-core platform, or scaling out, by distributing work to mul ...

Advances in experimental techniques and computational power allowing researchers to gather anatomical and electrophysiological data at unprecedented levels of detail have fostered the development of increasingly complex models in computational neuroscience ...

The capability to process high-resolution videos in real-time is becoming more important in a wide variety of applications such as autonomous vehicles, virtual reality or intelligent surveillance systems. The high-accuracy and complex video processing algo ...

Understanding the link between the brain's anatomy and its function through computer simulations of neural tissue models is a widely used approach in computational neuroscience. This technique enables rapid prototyping and testing of hypotheses, allowing r ...

Little is known about the perception of artificial spatial hearing by hearing-impaired subjects. The purpose of this study was to investigate how listeners with hearing disorders perceived the effect of a spatialization feature designed for wireless microp ...

Hardware and Algorithms for Ultrasonic Depth Imaging

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Subjective evaluation of a spatialization feature for hearing aids by normal-hearing and hearing-impaired subjects

Learning stereo reconstruction with deep neural networks

Low Frequency Sound Field Reconstruction in Non-rectangular Room: A Numerical Validation

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

SPADE: Tuning scale-out OLTP on modern RDMA clusters

SAT-Based Exact Synthesis for Multi-Level Logic Networks

Scalable Synchronization in Shared-Memory Systems: Extrapolating, Adapting, Tuning

Code Generation in Computational Neuroscience: A Review of Tools and Techniques

A Real-Time Multi-Camera Depth Estimation ASIC with Custom On-Chip Embedded DRAM

Computational characteristics and hardware implications of brain tissue simulations

Effects of Binaural Spatialization in Wireless Microphone Systems for Hearing Aids on Normal-Hearing and Hearing-Impaired Listeners