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David C. Jeong

4 accepted papers

2025

Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision

ICCV 2025poster

Egocentric human body estimation allows for the inference of user body pose and shape from a wearable camera's first-person perspective. Although research has used pose estimation techniques to overcome self-occlusions and image distortions caused by head-mounted fisheye images, similar advances in…

Cited by 0SourcePDFScholar
2023

MoEmo Vision Transformer: Integrating Cross-Attention and Movement Vectors in 3D Pose Estimation for HRI Emotion Detection

IROS 2023poster

Emotion detection presents challenges to intelligent human-robot interaction (HRI). Foundational deep learning techniques used in emotion detection are limited by information-constrained datasets or models that lack the necessary complexity to learn interactions between input data elements, such as…

Cited by 3SourcecodeScholar
2023

Noncontact Particle Manipulation on Water Surface with Ultrasonic Phased Array System and Microscopic Vision

ICRA 2023poster

Noncontact particle manipulation (NPM) shows great application potential than its conventional counterpart particularly in terms of non-invasiveness, and thus has significantly extended robotic manipulation capacity into bio- medical engineering, material science, etc. As NPM by means of electric, m…

Cited by 5SourceScholar
2022

AcousNet: A Deep Learning Based Approach to Dynamic 3D Holographic Acoustic Field Generation From Phased Transducer Array

RA-L 2022

Holographic acoustic field has shown great potential for non-contact robotic manipulations of millimeter or sub-millimeter size objects to effectively deliver acoustic power. The latest technology for generating dynamic holographic acoustic field is through phased transducer array, where relative ph

Cited by 33SourceScholar