| 2023 | ICRA | Lightweight Monocular Depth Estimation via Token-Sharing Transformer. | Dong-Jae Lee, Jae Young Lee, Hyunguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim |
| 2023 | ICRA | Test-Time Synthetic-to-Real Adaptive Depth Estimation. | Eojindl Yi, Junmo Kim |
| 2022 | CVPR | Linear Combination Approximation of Feature for Channel Pruning. | Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim |
| 2022 | ECCV | On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network. | Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim |
| 2022 | IROS | Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim |
| 2022 | IROS | Fully Convolutional Transformer with Local-Global Attention. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim |
| 2022 | IROS | Subspace-based Feature Alignment for Unsupervised Domain Adaptation. | Eojindl Yi, Junmo Kim |
| 2022 | ICRA | Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation. | Eojindl Yi, JuYoung Yang, Junmo Kim |
| 2021 | AAAI | Linearly Replaceable Filters for Deep Network Channel Pruning. | Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim |
| 2021 | AAAI | Patch-Wise Attention Network for Monocular Depth Estimation. | Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim |
| 2020 | IROS | PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation. | JuYoung Yang, Chanho Lee, Pyunghwan Ahn, Haeil Lee, Eojindl Yi, Junmo Kim |