Junho Koh

Orcid: 0000-0003-2318-9128

According to our database1, Junho Koh authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection.
CoRR, 2024

2023
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition.
CoRR, 2023

D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds.
CoRR, 2021

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Video Object Detection Using Motion Context and Feature Aggregation.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Video Object Detection Using Object's Motion Context and Spatio-Temporal Feature Aggregation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Enhanced Object Detection in Bird's Eye View Using 3D Global Context Inferred From Lidar Point Data.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
Robust Camera Lidar Sensor Fusion Via Deep Gated Information Fusion Network.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Robust Deep Multi-modal Learning Based on Gated Information Fusion Network.
Proceedings of the Computer Vision - ACCV 2018, 2018


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