Aktuelle Publikationen

Identifying surgical phases is a crucial component of surgical workflow analysis, facilitating the automated evaluation of surgical procedures’ performance and efficiency. A significant challenge in developing neural networks for surgical phase...

Researchers from the University of L’Aquila, NICT, Finisar, Prysmian, Nokia Bell Lab and Fraunhofer HHI Space-Division Multiplexed Transmission technologies from the Lab to the Field and present a summary for their work in this invited...

We present the design and fabrication of more than 2000 km of a 7-core multi-core fiber (MCF) drawn from a single large-scale MCF preform. The fiber was fabricated without any online fiber breaks and exhibits axially excellent geometrical...

We introduce SPNerf, a NeRF based zero-shot 3D segmentation approach that leverages geometric priors. We integrate geometric primitives derived from 3D scene into NeRF training to produce primitive-wise CLIP features, avoiding the ambiguity of...

This research compares the local- and global modeling ways of XGBoost in the geospatial studies. Two experiments based on simulation data and German COVID-19 infection data were conducted to compare the two modeling ways from multiple aspects....

In cell-free networks, system throughput is enhanced by allowing more than one access point (AP) to serve each user, which may lead to high energy consumption. To circumvent this, this paper presents a surrogate optimization technique using...

We address system trade-offs, e.g. between resolution and speed of a coherent scanning LiDAR. We analyze the performance of our real-time FMCW LiDAR prototype with a high-quantumefficiency coherent receiver, two-dimensional...

We successfully achieved MFI using a neuromorphic PIC with a photonic reservoir and digital readout, both in a laboratory environment and with commercial network equipment.

We address digital self-interference cancellation (SIC) in simultaneous transmit-receive systems using data-driven approaches. We propose kernel-based learning methods -- adaptive projected subgradient method (APSM) and support vector regression...

3D Gaussian Splatting (3DGS) is a powerful technique for real-time radiance field rendering but is limited by its high storage and memory requirements. This survey provides the first comprehensive analysis of existing compression and compaction...