Design of High-Gain Multi-Band Circularly Polarized Bi-Layered Metasurface Patch Array Antenna

Design of High-Gain Multi-Band Circularly Polarized Bi-Layered Metasurface Patch Array Antenna

Research on the Design of High Gain Multi-band Circularly Polarized Bi-layered Metasurface Patch Array Antenna Academic Background and Research Motivation Terahertz (THz) band communication has received widespread attention in recent years due to its potential to expand bandwidth in wireless communication systems. However, the application of terahe...

Numerical Simulation and Performance Optimization of Non-Toxic Cs2TiBr6 Single-Halide Perovskite Solar Cells

Numerical Simulation and Performance Optimization of Non-Toxic Cs2TiBr6 Single-Halide Perovskite Solar Cells

Numerical Simulation and Performance Optimization of Perovskite Solar Cells: A Study Based on Cs₂TiBr₆ Material Academic Background In recent years, perovskite solar cells (Perovskite Solar Cells, PSCs) have garnered significant attention due to their excellent optoelectronic properties. These materials possess advantages such as appropriate bandga...

Asymmetric Optical Cryptosystem with Secret-Key Sharing Based on Coherent Superposition and Normalized Decomposition

Asymmetric Optical Cryptosystem Based on Coherent Superposition and Normalized Decomposition Background Introduction With the growing demand for information security, optical image encryption technology has attracted significant attention over the past three decades. This technology leverages various degrees of freedom of light (such as amplitude, ...

Learning with Enriched Inductive Biases for Vision-Language Models

Learning with Enriched Inductive Biases for Vision-Language Models Research Background and Problem Statement In recent years, Vision-Language Models (VLMs) have made significant progress in the fields of computer vision and natural language processing. These models are pre-trained on large-scale image-text pairs to construct a unified multimodal re...

Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation

Advances in General Mammal Pose Estimation Research Research Background and Problem Statement In the field of computer vision, pose estimation is a fundamental and crucial task aimed at locating key points of target objects in images. In recent years, human pose estimation has made significant progress, but research on animal pose estimation remain...

Seaformer++: Squeeze-Enhanced Axial Transformer for Mobile Visual Recognition

SEAFormer++ - An Efficient Transformer Architecture Designed for Mobile Visual Recognition Research Background and Problem Statement In recent years, the field of computer vision has undergone a significant shift from Convolutional Neural Networks (CNNs) to Transformer-based methods. However, despite Vision Transformers demonstrating excellent glob...

Smaller but Better: Unifying Layout Generation with Smaller Large Language Models

New Breakthrough in Unified Layout Generation Research: Smaller but Stronger Large Language Models Research Background and Problem Statement Layout generation is an important research direction in the fields of computer vision and human-computer interaction, aiming to automatically generate graphic interfaces or layout designs that meet specific re...

Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective

Boosting Out-of-Distribution Detection Performance from the Perspective of Spatial Feature Importance Research Background and Problem Statement In practical applications of deep learning models, ensuring that models can reliably reject predictions when faced with inputs from unknown categories is crucial for system safety and robustness. This need ...

Moonshot: Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions

MoonShot——Towards Controllable Video Generation and Editing with Motion-Aware Multimodal Conditions Research Background and Problem Statement In recent years, text-to-video diffusion models (Video Diffusion Models, VDMs) have made significant progress, enabling the generation of high-quality, visually appealing videos. However, most existing VDMs r...

Deepfake-Adapter: Dual-Level Adapter for Deepfake Detection

Deepfake-Adapter——A Dual-Level Adapter for Deepfake Detection Research Background and Problem With the rapid development of deep generative models, hyper-realistic facial images and videos can be easily generated, which are capable of deceiving the human eye. When such technology is maliciously abused, it may lead to serious misinformation problems...