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Jaeyeon Lee

9 accepted papers

2026

Looking at Your Photo, What Comes to Mind? Personalized Memory Internalization for Dementia Reminiscence

IJCAI 2026

We present PhoMi, an interactive recall assistant that supports dementia reminiscence by engaging users with personal photographs captured via a live camera interface. Given a photograph, PhoMi delivers spoken questions and receives spoken responses, creating an accessible reminiscence setting with

Cited by 0Scholar
2023

Contactless Weight Estimation of Human Body and Body Parts for Safe Robotics-Assisted Casualty Extraction

IROS 2023poster

Deploying humans in a high-risk environment to extract casualties in order to provide medical attention is an inherently dangerous endeavor. To minimize this risk, Robotics and Autonomous Systems can be deployed in hazardous areas in place of human personnel to limit the exposure of first responders…

Cited by 0SourceScholar
2023

Learning to Boost Training by Periodic Nowcasting Near Future Weights

ICML 2023poster

Recent complicated problems require large-scale datasets and complex model architectures, however, it is difficult to train such large networks due to high computational issues. Significant efforts have been made to make the training more efficient such as momentum, learning rate scheduling, weight…

2021

Real-Time Teleoperation of Magnetic Force-Driven Microrobots With 3D Haptic Force Feedback for Micro-Navigation and Micro-Transportation

RA-L 2021

Untethered mobile microrobots controlled by an external magnetic gradient field can be employed as advanced biomedical applications inside the human body such as cell therapy, micromanipulation, and noninvasive surgery. Haptic technology and telecommunication, on the other hand, can extend the poten

Cited by 30SourceScholar
2021

Target-Style-Aware Unsupervised Domain Adaptation for Object Detection

RA-L 2021

Vision modules running on mobility platforms, such as robots and cars, often face challenging situations such as a domain shift where the distributions of training (source) data and test (target) data are different. The domain shift is caused by several variation factors, such as style, camera viewp

Cited by 6SourceScholar
2020

ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly

IROS 2020poster

Deep learning, based on which many modern algorithms operate, is well known to be data-hungry. In particular, the datasets appropriate for the intended application are difficult to obtain. To cope with this situation, we introduce a new dataset called ETRI-Activity3D, focusing on the daily activitie…

Cited by 100SourcecodeScholar
2019

Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots

ICRA 2019poster

Co-speech gestures enhance interaction experiences between humans as well as between humans and robots. Most existing robots use rule-based speech-gesture association, but this requires human labor and prior knowledge of experts to be implemented. We present a learning-based co-speech gesture genera…

Cited by 301SourceScholar
2016

A multiple kernel convolution score method for bin picking of plastic packed object

IROS 2016poster

In this paper, an object detection and localization method for bin picking of plastic wrapped objects is described. Since such objects are deformable and have non-Lambertian surfaces, it is difficult to apply conventional feature point approaches or edge based template matching. To solve this proble…

Cited by 3SourceScholar
2015

ViMbot: Design and control of a new magnet robot actuated by an external vibrating magnetic field

ICRA 2015poster

This paper presents a design, a control scheme, and experiments for a new vibrating magnet robot (ViMbot). Permanent magnets in the new robot vibrate due to an external vibrating magnetic field. The vibration motion of the robot induces the locomotion of the robot. The vibratory dynamic response of…

Cited by 9SourceScholar