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18 papers · 1 filter
ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB
Jeongjun Park, Sunwook Hwang, Hyeonho Noh +3
Distracted driving contributes to fatal crashes worldwide. To address this, researchers are using driver activity recognition (DAR) with impulse radio ultra-wideband (IR-UWB) radar…
Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression
Kwonyeol Park, Hyuckjin Choi, Beomsoo Ko +7
The increasing spectral reuse can cause significant performance degradation due to interference from neighboring cells. In such scenarios, developing effective interference suppres…
Preparation Meets Opportunity: Enhancing Data Preprocessing for ML Training With Seneca
Omkar Desai, Ziyang Jiao, Shuyi Pei +2
Input data preprocessing is a common bottleneck when concurrently training multimedia machine learning (ML) models in modern systems. To alleviate these bottlenecks and reduce the…
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
Cheonsu Jeong, Seunghyun Lee, Seonhee Jeong +1
This study provides an in_depth analysis of the ethical and trustworthiness challenges emerging alongside the rapid advancement of generative artificial intelligence (AI) technolog…
Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory
Sang Hun Kim, Jongmin Lee, Dongkyu Park +2
Human consciousness is still a concept hard to define with current scientific understanding. Although Large Language Models (LLMs) have recently demonstrated significant advancemen…
3DPillars: Pillar-based two-stage 3D object detection
Jongyoun Noh, Junghyup Lee, Hyekang Park +1
PointPillars is the fastest 3D object detector that exploits pseudo image representations to encode features for 3D objects in a scene. Albeit efficient, PointPillars is typically…