IEEE

DAH-TrafficRSNet: Dual-Branch Traffic Remote Sensing Image Dehazing Network Based on Atmospheric Scattering Model and Hierarchical Feature Interaction

Abstract: Fog degrades the quality of traffic remote sensing images and severely restricts their applications in scenarios such as intelligent traffic monitoring and road network planning and ...
IEEE

Design of Large Model-Based Emotional Companion Human-Computer Interaction System

Abstract: With the rapid development of artificial intelligence, emotional companion human-machine interaction systems have become a research hotspot, but existing systems lack in-depth emotional ...
IEEE

Natural Multimodal Fusion-Based Human–Robot Interaction: Application With Voice and Deictic Posture via Large Language Model

Abstract: Translating human intent into robot commands is crucial for the future of service robots in an aging society. Existing human‒robot interaction (HRI) systems relying on gestures or verbal ...
IEEE

One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion

Abstract: Advanced image fusion methods mostly prioritise high-level missions, where task interaction struggles with semantic gaps, requiring complex bridging mechanisms. In contrast, we propose to ...
IEEE

A Falcon Signature Verification Accelerator Using Area-Efficient NTT Architecture With Simplified Barrett Modular Multiplier

Abstract: Falcon is a lattice-based post-quantum digital-signature scheme standardized by U.S. National Institute of Standards and Technology (NIST). As for its hardware implementation, signature ...
IEEE

Energy Urban Domain: Personalized Evaluation of Expert and Non-Expert Stakeholder Interaction With Artificial Intelligence Through ChatGPT Using the VIRTSI Model

Abstract: This paper explores the application of Generative AI, specifically ChatGPT, in urban energy management, assessing human users’ trust in AI systems that, while often accurate, can still make ...
IEEE

EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization

Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...
IEEE

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA

Abstract: Deploying large language models (LLMs) on embedded devices remains a significant research challenge due to the high computational and memory demands of LLMs and the limited hardware ...
IEEE

Research on Marketing Effectiveness and Fans Interaction of Short Dramas Based on the SIPS Model

Abstract: Recently short dramas have rapidly become a popular tool for brand marketing as an emerging online cultural product. This paper aims to explore the effectiveness of short dramas in marketing ...
IEEE

Exploiting Output Activation Sparsity Using Bit-Separable Multiplier in CNN Accelerator

Abstract: This paper demonstrates a bit-separable multiplier (BSM) in CNN accelerators to leverage output activation sparsity. BSM improves computational efficiency by predicting the output of ...
IEEE

Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model

Abstract: Current digital human studies focusing on lip-syncing and body movement are no longer sufficient to meet the growing industrial demand, while human video generation techniques that support ...