International Flagship Conference

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2024

Implicit Point Function for LiDAR Super-Resolution in Autonomous Driving
Minseong Park, Haengseon Son and Euntai Kim
2024 IEEE International Conference on Robotics and Automation, Yokohama, Japan, May, 2024.

2023

RoomNeRF: Representing Empty Room as Neural Radiance Fields for View Synthesis
Mangyu Kong ,Seongwon Lee and Euntai Kim
The 34th British Machine Vision Conference (BMVC 2023), Aberdeen, UK, November, 2023.

WiFi-Based Localization for Fail-Aware Autonomous Driving in Urban Scenarios
Carlos Guindel, Adrián García Sánchez, Noelia Hernández, Ignacio Parra and Euntai Kim
Proc. of the IEEE Intelligent Vehicle Symposium (IV 2023), Anchorage, Alaska, June, 2023.

Revisiting Self-Similarity: Structural Embedding for Image Retrieval
Seongwon Lee, Suhyeon Lee, Hongje Seong and Euntai Kim
Proc. of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June, 2023.

SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min and Euntai Kim
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA, February, 2023.

Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
Kyusik Cho, Suhyeon Lee, Hongje Seong and Euntai Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii, January, 2023.

2022

One-Trimap Video Matting
Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim and Joon-Young Lee
Proc. of the European Conference on Computer Vision (ECCV 2022), Tel-Aviv, Israel, October, 2022.

Spatial-Channel Transformers for Scene Recognition
Seunghyun Baik, Hongje Seong, Youngjo Lee, and Euntai Kim
Proc. of The International Joint Conference on Neural Networks (IJCNN 2022), Padova, Italy, July, 2022.

Correlation Verification for Image Retrieval
Seongwon Lee, Hongje Seong, Suhyeon Lee and Euntai Kim
Proc. of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (Oral Presentation), New Orleans, United States, June, 2022.

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
Suhyeon Lee, Hongje Seong, Seongwon Lee and Euntai Kim
Proc. of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, United States, June, 2022.

Graph-Based Point Tracker for 3D Object Tracking in Point Clouds
Minseong Park, Hongje Seong, Wonje Jang and Euntai Kim
Proc. of the 36th AAAI conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, February, 2022.

Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
Youngjo Lee, Hongje Seong and Euntai Kim
Proc. of the 36th AAAI conference on Artificial Intelligence (AAAI 2022), Vancouver, Canada, February, 2022.

2021

Hierarchical Memory Matching Network for Video Object Segmentation
Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee and Euntai Kim
Proc. of the International Conference on Computer Vision (ICCV 2021), Montreal, Canada, October, 2021.

Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
Suhyeon Lee, Junhyuk Hyun, Hongje Seong and Euntai Kim
Proc. of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Vancouver, Canada, February, 2021.

2020

3D-DEEP: 3-Dimensional Deep-Learning Based on Elevation Patterns for Road Scene Interpretation
A. H. Saz, Suhan Woo, H. C. Schez, I. P. Alonso, Euntai Kim, D. F. Llorca and M. A. Sotelo
Proc. of the IEEE Intelligent Vehicle Symposium (IV 2020), Las Vegas, United States, October, 2020.

Kernelized Memory Network for Video Object Segmentation
Hongje Seong, Junhyuk Hyun and Euntai Kim
Proc. of the European Conference on Computer Vision (ECCV 2020), Glasgow, Scotland, August, 2020, vol. 12367, pp. 629-645.

A Kernel-based Approach for Video Object Segmentation
Hongje Seong, Junhyuk Hyun and Euntai Kim
The 2020 DAVIS Challenge on Video Object Segmentation (DAVIS’20, CVPR Workshop), Seattle, United States, June, 2020.

2019

Normal Distribution Mixture Matching based Model Free Object Tracking Using 2D LIDAR
Baehoon Choi, Hyung Gi Jo and Euntai Kim
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macau, China, November, 2019, pp. 455-461.

Video Multitask Transformer Network
Hongje Seong, Junhyuk Hyun and Euntai Kim
The 2nd Workshop and Challenge on Comprehensive Video Understanding in the Wild (CoVieW’19, ICCV Workshop), Seoul, Korea, October, 2019.

Scene Recognition via Object-to-Scene Class Conversion: End-to-End Training
Hongje Seong, Junhyuk Hyun, Hyunbae Chang, Suhyeon Lee, Suhan Woo and Euntai Kim
Proc. of The International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary, July, 2019, pp. 1-6.

2018

New Feature-level Video Classification via Temporal Attention Model
Hongje Seong, Junhyuk Hyun, Suhyeon Lee, Suhan Woo, Hyunbae Chang and Euntai Kim
The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild (CoVieW’18, ACM MM Workshop), Seoul, Korea, October, 2018, pp. 31-34.

Road Lane Semantic Segmentation for High Definition Map
Wonje Jang, Jhonghyun An, Sangyun Lee, Minho Cho, Myungki Sun and Euntai Kim
Proc. of the IEEE Intelligent Vehicle Symposium (IV 2018), Changshu, China, June, 2018, pp. 1001-1006.

2016

A novel rear-end collision warning system using neural network ensemble
Jhonghyun An, Baehoon Choi, Taehun Hwang and Euntai Kim
Proc. of IEEE Intelligent Vehicle Symposium (IV2016), Gothenburg, Sweden, June, 2016.

2015

WiFi-based Indoor Localization Using a Continuous Space Estimator From Topological Information
Noelia Hernandez, Manuel Ocana, Jose M. Alonso and Euntai Kim
Proc. of the 2015 Indoor Positioning and Indoor Navigation (IPIN 2015), Banff, Alberta, Canada, October, 2015.

Proposing a Fast Circular HOG Descriptor for Detecting Rotated Objects
Junhyuk Hyun, Jeonghyun Baek, Jisu Kim, Peyman Hosseinzajeh Kassani and Euntai Kim
Proc. of The 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, July, 2015.

New efficient speed-up scheme for cascade implementation of SVM classifier
Jeonghyun Baek, Jisu Kim, Junhyuk Hyun and Euntai Kim
Proc. of The 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, July, 2015.

Before 2010