Kernelized memory network for video object segmentation H Seong, J Hyun, E Kim Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 204 | 2020 |
Hierarchical memory matching network for video object segmentation H Seong, SW Oh, JY Lee, S Lee, S Lee, E Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 118 | 2021 |
Wildnet: Learning domain generalized semantic segmentation from the wild S Lee, H Seong, S Lee, E Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 73 | 2022 |
FOSNet: An end-to-end trainable deep neural network for scene recognition H Seong, J Hyun, E Kim IEEE Access 8, 82066-82077, 2020 | 67 | 2020 |
Correlation verification for image retrieval S Lee, H Seong, S Lee, E Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 59 | 2022 |
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer S Lee, J Hyun, H Seong, E Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8306-8315, 2021 | 43 | 2021 |
Iteratively selecting an easy reference frame makes unsupervised video object segmentation easier Y Lee, H Seong, E Kim Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1245-1253, 2022 | 31 | 2022 |
Video multitask transformer network H Seong, J Hyun, E Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 29 | 2019 |
Universal pooling–a new pooling method for convolutional neural networks J Hyun, H Seong, E Kim Expert Systems with Applications 180, 115084, 2021 | 25 | 2021 |
Scene recognition via object-to-scene class conversion: end-to-end training H Seong, J Hyun, H Chang, S Lee, S Woo, E Kim 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 16 | 2019 |
One-trimap video matting H Seong, SW Oh, B Price, E Kim, JY Lee European Conference on Computer Vision, 430-448, 2022 | 12 | 2022 |
Indoor place category recognition for a cleaning robot by fusing a probabilistic approach and deep learning S Choe, H Seong, E Kim IEEE Transactions on Cybernetics 52 (8), 7265-7276, 2021 | 12 | 2021 |
Video object segmentation using kernelized memory network with multiple kernels H Seong, J Hyun, E Kim IEEE transactions on pattern analysis and machine intelligence 45 (2), 2595-2612, 2022 | 10 | 2022 |
Revisiting self-similarity: Structural embedding for image retrieval S Lee, S Lee, H Seong, E Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
Adjacent feature propagation network (AFPNet) for real-time semantic segmentation J Hyun, H Seong, S Kim, E Kim IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (9), 5877-5888, 2021 | 9 | 2021 |
Fallen person detection for autonomous driving S Lee, S Lee, H Seong, J Hyun, E Kim Expert Systems with Applications 213, 119242, 2023 | 8 | 2023 |
Shunit: Style harmonization for unpaired image-to-image translation S Song, S Lee, H Seong, K Min, E Kim Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2292-2302, 2023 | 6 | 2023 |
Content swapping: A new image synthesis for construction sign detection in autonomous vehicles H Seong, S Baik, Y Lee, S Lee, E Kim Sensors 22 (9), 3494, 2022 | 4 | 2022 |
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing K Cho, S Lee, H Seong, E Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds M Park, H Seong, W Jang, E Kim Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2053-2061, 2022 | 2 | 2022 |