Eojindl Yi

According to our database, Eojindl Yi authored at least 14 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lightweight Monocular Depth Estimation via Token-Sharing Transformer.

Dong-Jae Lee, Jae Young Lee, Hyounguk Shon, Eojindl Yi, Yeong-Hun Park, Sung-Sik Cho, Junmo Kim

CoRR, 2023

Test-Time Synthetic-to-Real Adaptive Depth Estimation.

Eojindl Yi, Junmo Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Projection-Based Point Convolution for Efficient Point Cloud Segmentation.

Pyunghwan Ahn, JuYoung Yang, Eojindl Yi, Chanho Lee, Junmo Kim

IEEE Access, 2022

Subspace-based Feature Alignment for Unsupervised Domain Adaptation.

Eojindl Yi, Junmo Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Fully Convolutional Transformer with Local-Global Attention.

Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion.

Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Junmo Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation.

Eojindl Yi, JuYoung Yang, Junmo Kim

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Linear Combination Approximation of Feature for Channel Pruning.

Donggyu Joo, Doyeon Kim, Eojindl Yi, Junmo Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

3D Point Cloud Upsampling and Colorization Using GAN.

Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2021

Patch-Wise Attention Network for Monocular Depth Estimation.

Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Linearly Replaceable Filters for Deep Network Channel Pruning.

Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020