Youngseok Kim

Orcid: 0000-0001-9984-2416

Affiliations:
  • Korea Advanced Institute of Science and Technology, Daejeon, South Korea


According to our database1, Youngseok Kim authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
LabelDistill: Label-Guided Cross-Modal Knowledge Distillation for Camera-Based 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision.
IEEE Trans. Intell. Transp. Syst., February, 2023

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception.
CoRR, 2023

Joint Semi-Supervised and Active Learning via 3D Consistency for 3D Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Sequential Image-based 3D Object Detection with Location Refinement.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020
GRIF Net: Gated Region of Interest Fusion Network for Robust 3D Object Detection from Radar Point Cloud and Monocular Image.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Low-Level Sensor Fusion for 3D Vehicle Detection Using Radar Range-Azimuth Heatmap and Monocular Image.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Deep Learning based Vehicle Position and Orientation Estimation via Inverse Perspective Mapping Image.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019


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