Lee, Jae Yong

9 publications

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