activity
20172023
most citedGAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud

30 citations · 66 across the 22 of their papers we have counts for

collaborators

28 papers

cs.CV2023★ 1 cited

Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports

İrem Üstek, Jay Desai, Iván López Torrecillas +7

This study introduces an innovative violence detection framework tailored to the unique requirements of smart airports, where prompt responses to violent situations are crucial. Th…

cs.LG2023

Robust Recurrent Reinforcement Learning under Evolving Hidden Disturbances with Application to Rover Wheel Slip

Saki Omi, Hyo-Sang Shin, Namhoon Cho +2

Reinforcement learning (RL) performs well in continuous-control tasks, but evolving hidden disturbances create partial observability: the agent must infer decision-relevant latent…

eess.SY2023★ 1 cited

Region of Attraction Estimation Using Union Theorem in Sum-of-Squares Optimization

Bhaskar Biswas, Dmitry Ignatyev, Argyrios Zolotas +1

Appropriate estimation of Region of Attraction for a nonlinear dynamical system plays a key role in system analysis and control design. Sum-of-Squares optimization is a powerful to…

eess.SP2023★ 1 cited

Domain-Knowledge-Aided Airborne Ground Moving Targets Tracking

Jianduo Chai, Shaoming He, Hyo-Sang Shin

This paper investigates the problem of traffic surveillance using an unmanned aerial vehicle (UAV) and proposes a domain-knowledge-aided airborne ground moving targets tracking alg…

cs.MA2022★ 1 cited

An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards

Ruifan Liu, Hyo-Sang Shin, Binbin Yan +1

In many domains such as transportation and logistics, search and rescue, or cooperative surveillance, tasks are pending to be allocated with the consideration of possible execution…

math.OC2022★ 3 cited

Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction

Namhoon Cho, Hyo-Sang Shin, Antonios Tsourdos +1

This study presents incremental correction methods for refining neural network parameters or control functions entering into a continuous-time dynamic system to achieve improved so…