PSGAN++ : Robust Detail-Preserving Makeup Transfer and Removal

In this paper, we address the makeup transfer and removal tasks simultaneously, which aim to transfer the makeup from a reference image to a source image and remove the makeup from the with-makeup …

Comparison of Beyond 1 GHz C-Plane Freestanding and Sapphire-Substrate GaN-Ba…

With ever-growing demand for 6G networks technology, visible light communication (VLC) as a vital component of 6G has challenging requirement for superior performance of light source. Herein, 20 μ…

Human-Centric Relation Segmentation : Dataset and Solution

Vision and language understanding techniques have achieved remarkable progress, but currently it is still difficult to well handle problems involving very fine-grained details. For example, when th…

A Sagnac Interferometer Ultraviolet Sensor Based on ZnO-Coated No-Core Fiber

A Sagnac interferometer based optical fiber ultraviolet (UV) sensor is theoretically proposed and experimentally demonstrated in this work. A layer of ZnO film was deposited upon the surface of a s…

Wafer Lot Assignment for Parallel-Producing Tools Based on Heuristic Clusteri…

Beyond the widely-studied scheduling of wafers within cluster tools, a novel and important perspective is raised in this paper to tackle an upper-level optimization problem in real-world production…

Deep Reinforcement Learning-Based Policy for Baseband Function Placement and …

In this paper, we propose a deep reinforcement learning (DRL)-based algorithm to generate policies of Baseband Function (BBF) placement and routing. In order to explore the performance of the propo…

Rapid Mode Decomposition of Few-Mode Fiber by Artificial Neural Network

A novel method based on deep learning technique for the modal decomposition of the optical fields emerging from the few-mode fiber is demonstrated in this paper. By combining the advantages of prin…

Burst-error-Propagation Suppression for Decision-Feedback Equalizer in Field-…

Deep Multi-View Enhancement Hashing for Image Retrieval

Hashing is an efficient method for nearest neighbor search in large-scale data space by embedding high-dimensional feature descriptors into a similarity preserving Hamming space with a low dimensio…

ANN-Based Multi-Channel QoT-Prediction Over a 563.4-km Field-Trial Testbed