Jaekyum Kim

Orcid: 0000-0001-6603-0083

According to our database1, Jaekyum Kim authored at least 16 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 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

2017
Robust Automatic Modulation Classification Technique for Fading Channels via Deep Neural Network.
Entropy, 2017

Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network.
CoRR, 2017

Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Autonomous braking system via deep reinforcement learning.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Deep neural network-based blind modulation classification for fading channels.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017

2016
Deep neural network-based automatic modulation classification technique.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016


  Loading...