Lee, Jae Yong

10 publications

ICLR 2026 Spectral-Guided Physical Dynamics Distillation Youjin Kim, Dagyeong Na, Jae Yong Lee, Junseok Kwon

ICLR 2025 Isometric Regularization for Manifolds of Functional Data Hyeongjun Heo, Seonghun Oh, Jae Yong Lee, Young Min Kim, Yonghyeon Lee

ICLRW 2024 Learning Time-Dependent PDE via Graph Neural Networks and Deep Operator Network for Robust Accuracy on Irregular Grids Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang

TMLR 2024 Pseudo-Differential Neural Operator: Generalize Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations Jin Young Shin, Jae Yong Lee, Hyung Ju Hwang

CVPR 2024 Region-Based Representations Revisited Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman Tv, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem

ICLR 2023 HyperDeepONet: Learning Operator with Complex Target Function Space Using the Limited Resources via Hypernetwork Jae Yong Lee, SungWoong Cho, Hyung Ju Hwang

CVPR 2022 DIVeR: Real-Time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David Forsyth

AAAI 2022 Solving PDE-Constrained Control Problems Using Operator Learning Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang

CVPR 2021 PatchMatch-Based Neighborhood Consensus for Semantic Correspondence Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha

ICCV 2021 PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem