Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning. - Ilwi Yun; Hyuk-Jae Lee; Chae-Eun Rhee (AAAI, 2022)

Energy-Efficient Dataflow Scheduling of CNN Applications for Vector-SIMD DSP. - Wontae Kim; Sangheon Lee 001; Ilwi Yun; Chulhee Lee; Kyujoong Lee; Hyuk-Jae Lee (IEEE Access, 2022)

AAGAN: Accuracy-Aware Generative Adversarial Network for Supervised Tasks. - Ilwi Yun; Hyuk-Jae Lee; Chae-Eun Rhee (IEEE Trans. Circuits Syst. Video Technol., 2022)

EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation. - Ilwi Yun; Chanyong Shin; Hyunku Lee; Hyuk-Jae Lee; Chae-Eun Rhee (ICCV, 2023)

Adversarial Mixture Density Network and Uncertainty-Based Joint Learning for 360$^ circ$ Monocular Depth Estimation. - Ilwi Yun; Hyuk-Jae Lee; Chae-Eun Rhee (IEEE Trans. Multim., 2024)