BoostHand : Distance-free Object Manipulation System with Switchable Non-linear Mapping for Augmented Reality Classrooms. - Whie Jung; Woojin Cho; Hayun Kim; Woontack Woo (ISMAR Adjunct, 2017)

Tracking an Object-Grabbing Hand Using Occluded Depth Reconstruction. - Woojin Cho; Gabyong Park; Woontack Woo (ISMAR Adjunct, 2018)

A 1.15 μW 200 kS/s 10-b Monotonic SAR ADC Using Dual On-Chip Calibrations and Accuracy Enhancement Techniques. - Jae-Hun Lee; Dasom Park; Woojin Cho; Huu Nhan Phan; Cong Luong Nguyen; Jong-Wook Lee (Sensors, 2018)

Bare-hand Depth Inpainting for 3D Tracking of Hand Interacting with Object. - Woojin Cho; Gabyong Park; Woontack Woo (ISMAR, 2020)

Hierarchical Anomaly Detection Using a Multioutput Gaussian Process. - Woojin Cho; Youngrae Kim; Jinkyoo Park (IEEE Trans Autom. Sci. Eng., 2020)

Technological trend mining: identifying new technology opportunities using patent semantic analysis. - Siyeong Yun; Woojin Cho; Chulhyun Kim; Sungjoo Lee (Inf. Process. Manag., 2022)

RC-SMPL: Real-time Cumulative SMPL-based Avatar Body Generation. - Hail Song; Boram Yoon; Woojin Cho; Woontack Woo (ISMAR, 2023)

Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks. - Woojin Cho; Kookjin Lee; Donsub Rim; Noseong Park (NeurIPS, 2023)

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. - Woojin Cho; Seunghyeon Cho; Hyundong Jin; Jinsung Jeon; Kookjin Lee; Sanghyun Hong 001; Dongeun Lee 001; Jonghyun Choi; Noseong Park (AAAI, 2024)

Identifying Contemporaneous and Lagged Dependence Structures by Promoting Sparsity in Continuous-time Neural Networks. - Fan Wu; Woojin Cho; David Korotky; Sanghyun Hong 001; Donsub Rim; Noseong Park; Kookjin Lee (CIKM, 2024)

Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics. - Woojin Cho; Jihyun Lee; Minjae Yi; Minje Kim; Taeyun Woo; Donghwan Kim; Taewook Ha; Hyokeun Lee; Je-Hwan Ryu; Woontack Woo; Tae-Kyun Kim 001 (ECCV (82), 2024)

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. - Youn-Yeol Yu; Jeongwhan Choi 002; Woojin Cho; Kookjin Lee; Nayong Kim; Kiseok Chang; ChangSeung Woo; Ilho Kim; SeokWoo Lee; Joon-Young Yang; Sooyoung Yoon; Noseong Park (ICLR, 2024)

Parameterized Physics-informed Neural Networks for Parameterized PDEs. - Woojin Cho; Minju Jo; Haksoo Lim; Kookjin Lee; Dongeun Lee 001; Sanghyun Hong 001; Noseong Park (ICML, 2024)

FastLRNR and Sparse Physics Informed Backpropagation. - Woojin Cho; Kookjin Lee; Noseong Park; Donsub Rim; Gerrit Welper (CoRR, 2024)

MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data. - Mingu Kang; Dongseok Lee; Woojin Cho; Jaehyeon Park; Kookjin Lee; Anthony Gruber; Youngjoon Hong; Noseong Park (CoRR, 2024)

Temporally enhanced graph convolutional network for hand tracking from an egocentric camera. - Woojin Cho; Taewook Ha; Ikbeom Jeon; Jinwoo Jeon; Tae-Kyun Kim 001; Woontack Woo (Virtual Real., 2024)

Neural Functions for Learning Periodic Signal. - Woojin Cho; Minju Jo; Kookjin Lee; Noseong Park (ICLR, 2025)

Leveraging Mobile Processors for ISAR Image Generation and Classification in Radar Platforms. - Seongwook Kim; Sukhyun Han; Woojin Cho; Youngjae Choi; Seungeui Lee; Youngseok Bae; Seokin Hong (IEEE Access, 2025)

Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model. - Steve Andreas Immanuel; Woojin Cho; Junhyuk Heo; Darongsae Kwon (CoRR, 2025)

Unveiling the Potential of Superexpressive Networks in Implicit Neural Representations. - Uvini Balasuriya Mudiyanselage; Woojin Cho; Minju Jo; Noseong Park; Kookjin Lee (CoRR, 2025)

Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression. - Woojin Cho; Steve Andreas Immanuel; Junhyuk Heo; Darongsae Kwon (CoRR, 2025)

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling. - Minju Jo; Woojin Cho; Uvini Balasuriya Mudiyanselage; Seungjun Lee; Noseong Park; Kookjin Lee (CoRR, 2025)