Zero on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data
We present a network architecture which compares RGB images and untextured 3D models by the similarity of the represented shape. Our system is optimised for Zero-Shot retrieval, meaning it can recognise shapes never shown in training
Enabling S-C-L-Band Systems with Standard C-Band Modulator and Coherent Receiver using Nonlinear Predistortion
To counteract the forthcoming capacity crunch in optical networks by increasing the throughput over already existing fiber infrastructures, innovative approaches are required. Multiband systems are an interesting approach to address this issue....
S-Band Transmission with Off-the-Shelf C-Band Components Enabled by Nonlinear Predistortion based on Coherent System Identification
Nonlinear Predistortion based on Coherent System Identification Text: In order to cope with the rapid traffic growth and as well reducing the cost-per-bit, reuse of the legacy optical fiber infrastructure is one of the main objectives for...
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Federated learning (FL) is the most widely adopted framework for collaborative training of deep learning models under privacy constraints. Albeit its popularity, it has been observed that FL yields suboptimal results if the clients’ data...
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons
With the growing demand for deploying Deep Learning models to the “edge”, it is paramount to develop techniques that allow to execute models within very tight and limited resource constraints. In this work we propose a software-hardware...
Explain and Improve: LRP-Inference Fine Tuning for Image Captioning Models
This paper analyzes the predictions of image captioning models with attention mechanisms beyond visualizing the attention itself. We compare the interpretability of attention heatmaps systematically against the explanations. We demonstrate that...
LiFi Positioning for Industry 4.0
Precise position information is considered as the main enabler for the implementation of smart manufacturing systems in Industry 4.0. In ...
Benefits of MIMO Mode Switching, Angular Diversity and Multiuser Multiplexing for LiFi
We report on the first real-time experiments with distributed MIMO and multiple users for LiFi. MIMO mode switching and angular diversity are beneficial for robust-ness. Multiuser multiplexing helps in scenarios where users have complementary...
Distributed MIMO Experiment Using LiFi Over Plastic Optical Fiber
This paper shows the feasibility of a networked LiFi system using a distributed multiple-input multiple-output(MIMO) link for optical ...
Deep Convolutional Neural Network for Network-wide QoT Estimation
We propose a novel Deep Convolutional Neural Network formulation for network-wide QoT classification tasks and show its effectiveness for networks with significant topological differences. Our formulation achieves ~99% accuracy on large and...
Inter-Operator Machine Learning Model Trading over Acumos AI Federated Marketplace
We demonstrate the development of a QoT classifier over an autonomous machine-learning pipeline, the trading of the classifier over a federated marketplace, and eventually its deployment in the customer’s network as a cloud-native...
A Latency-Aware Real-Time Video Surveillance Demo: Network Slicing for Improving Public Safety
We report the automated deployment of 5G services across a latency-aware, semi-disaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, ! service setup time, and soft-failure...
All-Indoor Optical Customer Premises Equipment for Fixed Wireless Access
We demonstrate an LED-based optical wireless link for fixed wireless access applications, at data rates of 1.5 Gbit/s over 50 m. The design is robust against vibration and the infrastructure module can be deployed, e.g., at a lamppost with no...
Fiber-based Frequency Modulated LiDAR With MEMS Scanning Capability for Long-range Sensing in Automotive Applications
Safe operation of driver assistance systems remains a challenge, especially at higher speeds. It requires sensor technology that is capable of detecting surrounding conditions even at large distances. LiDAR technology is a cornerstone of this...
Validation of two Techniques for Intraoperative Hyperspectral Human Tissue Determination
In this paper, we introduce and validate two different hyperspectral intraoperative imaging setups and their use for the analysis of optical tissue properties. First, we present an improved multispectral filter-wheel setup integrated into a fully...
Focused LRP: Explainable AI for Face Morphing Attack Detection
The task of detecting morphed face images has becomehighly relevant in recent years to ensure the security of automaticverification systems based on facial images, e.g.automated border control gates. Detection methods basedon Deep Neural Networks...
Overview of the Neural Network Compression and Representation (NNR) Standard
Neural Network Coding and Representation (NNR) is the first international standard for efficient compression of neural networks. The NNR standard contains quantization and an arithmetic coding scheme as core encoding and decoding technologies, as...
Photoconductive THz Sources Driven at 1550 nm
In this book chapter we review photoconductive (PC) terahertz (THz) sources in the 1550-nm region. We contrast the two most common types of devices in the context of the two common implementations as PC switches and photomixers. We also...
Tunable DBR Laser with Integrated Optical Isolator
Integration of a tunable DBR laser with an optical isolator in a polymer platform achieves 38 dB isolation over 17 nm tuning range and 5.6 mW output power. This is the first demonstrated integration of a DBR laser together with an optical...
Exploring Button Designs for Mid-air Interaction in Virtual Reality: A Hexa-metric Evaluation of Key Representations and Multi-modal Cues
The continued advancement in user interfaces comes to the era of virtual reality that requires a better understanding of how users will interact with 3D buttons in mid-air. Although virtual reality owns high levels of expressiveness and...