Janghyeon Lee

Orcid: 0000-0002-8599-4678

Affiliations:
  • LG AI Research, Vision Lab, Seoul Korea
  • Korea Advanced Institute of Science and Technology, KAIST, School of Electrical Engineering, Daejeon, Korea


According to our database1, Janghyeon Lee authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Disposable Transfer Learning for Selective Source Task Unlearning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fully Convolutional Transformer with Local-Global Attention.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network.
Proceedings of the Computer Vision - ECCV 2022, 2022

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Patch-Wise Attention Network for Monocular Depth Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion.
IEEE Access, 2020

Leveraging Contextual Information for Monocular Depth Estimation.
IEEE Access, 2020

Continual Learning With Extended Kronecker-Factored Approximate Curvature.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Residual Continual Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
Refine pedestrian detections by referring to features in different ways.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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