From the 1 of 621 papers with an AI index.
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- Seoul National UniversityKR310 papers
- Sungkyunkwan UniversityKR297 papers
- Tata Institute of Fundamental ResearchIN285 papers
- Kyungpook National UniversityKR278 papers
- National Taiwan UniversityTW278 papers
- National Central UniversityTW275 papers
- Panjab UniversityIN250 papers
- Charles UniversityCZ239 papers
- Yonsei UniversityKR236 papers
- University of FloridaUS232 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT229 papers
- Wayne State UniversityUS226 papers
8 papers · 1 filter
Deep Variational Bayesian Modeling of Haze Degradation Process
Eun Woo Im, Junsung Shin, Sungyong Baik +1
Relying on the representation power of neural networks, most recent works have often neglected several factors involved in haze degradation, such as transmission (the amount of lig…
HELPS for Emergency Location Service: Hyper-Enhanced Local Positioning System
Hichan Moon, Hyosoon Park, Jiwon Seo
In this study, we propose a novel positioning and searching system for emergency location services, namely the hyper-enhanced local positioning system (HELPS), which is applicable…
Observation of Declination Dependence in the Cosmic Ray Energy Spectrum
The Telescope Array Collaboration, R. U. Abbasi, T. Abu-Zayyad +122
We report on an observation of the difference between northern and southern skies of the ultrahigh energy cosmic ray energy spectrum with a significance of . We use measu…
Hybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems
Muhammad Sohaib, Sang-Woon Jeon, Wei Yu
We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be comput…
Learning Human-like Locomotion Based on Biological Actuation and Rewards
Minkwan Kim, Yoonsang Lee
We propose a method of learning a policy for human-like locomotion via deep reinforcement learning based on a human anatomical model, muscle actuation, and biologically inspired re…
Performance-Based Biped Control using a Consumer Depth Camera
Yoonsang Lee, Taesoo Kwon
We present a technique for controlling physically simulated characters using user inputs from an off-the-shelf depth camera. Our controller takes a real-time stream of user poses a…