179 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hyundai Motor Group (South Korea)KR8 papers
- Korea Advanced Institute of Science and TechnologyKR7 papers
- Seoul National UniversityKR4 papers
- Massachusetts Institute of TechnologyUS3 papers
- Yonsei UniversityKR3 papers
- Chung-Ang UniversityKR2 papers
- Gwangju Institute of Science and TechnologyKR2 papers
- Inha UniversityKR2 papers
- Korea Institute of Science and TechnologyKR2 papers
- Adobe Systems (United States)US1 paper
- Advanced Institute of Convergence TechnologyKR1 paper
- Agency for Defense DevelopmentKR1 paper
22 papers
Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model
Minho Lee, Hyeonseok Kim, Jin Tak Kim +4
The simulation-to-reality (sim-to-real) transfer of large-scale hydraulic robots presents a significant challenge in robotics because of the inherent slow control response and comp…
Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents
Yejin Yoon, Yuri Son, Namyoung So +5
Conversational agents have traditionally been developed for either task-oriented dialogue (TOD) or open-ended chitchat, with limited progress in unifying the two. Yet, real-world c…
Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments
Gilhwan Kang, Hogyun Kim, Byunghee Choi +3
The unification of disparate maps is crucial for enabling scalable robot operation across multiple sessions and collaborative multi-robot scenarios. However, achieving a unified ma…
Ensuring superior learning outcomes and data security for authorized learner
Jeongho Bang, Wooyeong Song, Kyujin Shin +1
The learner's ability to generate a hypothesis that closely approximates the target function is crucial in machine learning. Achieving this requires sufficient data; however, unaut…
Cerberus: Attribute-based person re-identification using semantic IDs
Chanho Eom, Geon Lee, Kyunghwan Cho +3
We introduce a new framework, dubbed Cerberus, for attribute-based person re-identification (reID). Our approach leverages person attribute labels to learn local and global person…
Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
Myeong-Su Lee, Jaemin Oh, Dong-Chan Lee +3
In this work, we address the challenges posed by the high nonlinearity of the Butler-Volmer (BV) equation in forward and inverse simulations of the pseudo-two-dimensional (P2D) mod…
DynaVINS++: Robust Visual-Inertial State Estimator in Dynamic Environments by Adaptive Truncated Least Squares and Stable State Recovery
Seungwon Song, Hyungtae Lim, Alex Junho Lee +1
Despite extensive research in robust visual-inertial navigation systems~(VINS) in dynamic environments, many approaches remain vulnerable to objects that suddenly start moving, whi…
Hyperphosphorylation-Induced Phase Transition in Vesicle Delivery Dynamics of Motor Proteins in Neuronal Cells
Eunsang Lee, Donghee Kim, Yo Han Song +8
Synaptic vesicle transport by motor proteins along microtubules is a crucial active process underlying neuronal communication. It is known that microtubules are destabilized by tau…
NeXt-TDNN: Modernizing Multi-Scale Temporal Convolution Backbone for Speaker Verification
Hyun-Jun Heo, Ui-Hyeop Shin, Ran Lee +2
In speaker verification, ECAPA-TDNN has shown remarkable improvement by utilizing one-dimensional(1D) Res2Net block and squeeze-and-excitation(SE) module, along with multi-layer fe…
Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers
Luning Zhao, Joshua Goings, Kenneth Wright +8
Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQ…
A Design Method of Distributed Algorithms via Discrete-time Blended Dynamics Theorem
Jeong Woo Kim, Jin Gyu Lee, Donggil Lee +1
We develop a discrete-time version of the blended dynamics theorem for the use of designing distributed computation algorithms. The blended dynamics theorem enables to predict the…
Movement Detection of Tongue and Related Body Parts Using IR-UWB Radar
Sunghwa Lee, Younghoon Shin
Because an impulse radio ultra-wideband (IR-UWB) radar can detect targets with high accuracy, work through occluding materials, and operate without contact, it is an attractive har…
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach
Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
This paper presents a vehicle speed planning system called the energy-optimal deceleration planning system (EDPS), which aims to maximize energy recuperation of regenerative brakin…
Transferability of Natural Language Inference to Biomedical Question Answering
Minbyul Jeong, Mujeen Sung, Gangwoo Kim +4
Biomedical question answering (QA) is a challenging task due to the scarcity of data and the requirement of domain expertise. Pre-trained language models have been used to address…
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel
Soyoung Yoo, Sunghee Lee, Seongsin Kim +3
Engineering design research integrating artificial intelligence (AI) into computer-aided design (CAD) and computer-aided engineering (CAE) is actively being conducted. This study p…
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim, Jeongil Ju, Robert Feldt +1
Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…
Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon, Du Yong Kim, Young-min Song +2
In online multi-target tracking, modeling of appearance and geometric similarities between pedestrians visual scenes is of great importance. The higher dimension of inherent inform…
Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system
Kyudong Park, Jiyoung Kwahk, Sung H. Han +6
Although the automotive industry has been among the sectors that best-understands the importance of drivers' affect, the focus of design and research in the automotive field has lo…
Detection of Sensor Attack and Resilient State Estimation for Uniformly Observable Nonlinear Systems having Redundant Sensors
Junsoo Kim, Chanhwa Lee, Hyungbo Shim +2
This paper presents a detection algorithm for sensor attacks and a resilient state estimation scheme for a class of uniformly observable nonlinear systems. An adversary is supposed…
On Redundant Observability: From Security Index to Attack Detection and Resilient State Estimation
Chanhwa Lee, Hyungbo Shim, Yongsoon Eun
The security of control systems under sensor attacks is investigated. Redundant observability is introduced, explaining existing security notions including the security index, atta…
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms
Inwook Shim, Tae-Hyun Oh, Joon-Young Lee +3
We introduce a novel method to automatically adjust camera exposure for image processing and computer vision applications on mobile robot platforms. Because most image processing a…
Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-offs
Takashi Tanaka, Kwang-Ki K. Kim, Pablo A. Parrilo +1
Sequential rate-distortion (SRD) theory provides a framework for studying the fundamental trade-off between data-rate and data-quality in real-time communication systems. In this p…