Multispectral Pedestrian Detection: Benchmark Dataset and Baseline S Hwang, J Park, N Kim, Y Choi, IS Kweon Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on 20 …, 2015 | 1052 | 2015 |
KAIST multi-spectral day/night data set for autonomous and assisted driving Y Choi, N Kim, S Hwang, K Park, JS Yoon, K An, IS Kweon IEEE Transactions on Intelligent Transportation Systems 19 (3), 934-948, 2018 | 323 | 2018 |
Thermal Image Enhancement using Convolution Neural Network Y Choi, N Kim, S Hwang, IS Kweon The International Conference of Intelligent Robots and Systems (IROS), 2016 | 136 | 2016 |
Fast multiple objects detection and tracking fusing color camera and 3D LIDAR for intelligent vehicles S Hwang, N Kim, Y Choi, S Lee, IS Kweon Ubiquitous Robots and Ambient Intelligence (URAI), 2016 13th International …, 2016 | 60 | 2016 |
MLPD: Multi-label pedestrian detector in multispectral domain J Kim, H Kim, T Kim, N Kim, Y Choi IEEE Robotics and Automation Letters 6 (4), 7846-7853, 2021 | 56 | 2021 |
Multispectral Transfer Network: Unsupervised Depth Estimation for All-day Vision N Kim, Y Choi, S Hwang, IS Kweon Association for the Advancement of Artificial Intelligence (AAAI), 2018 | 46 | 2018 |
All-Day Visual Place Recognition: Benchmark Dataset and Baseline Y Choi, N Kim, K Park, S Hwang, JS Yoon, IS Kweon Computer Vision and Pattern Recognition(CVPR) Workshop 2015 on Visual Place …, 2015 | 37 | 2015 |
Geometrical calibration of multispectral calibration N Kim, Y Choi, S Hwang, K Park, JS Yoon, IS Kweon 2015 12th International Conference on Ubiquitous Robots and Ambient …, 2015 | 25 | 2015 |
Transdssl: Transformer based depth estimation via self-supervised learning D Han, J Shin, N Kim, S Hwang, Y Choi IEEE Robotics and Automation Letters 7 (4), 10969-10976, 2022 | 23 | 2022 |
Thermal-Infrared based Drivable Region Detection SJ Yoon, K Park, S Hwang, N Kim, Y Choi, F Rameau, I Kweon IEEE Intelligent Vehicles Symposium (IV), 2016, 2016 | 15 | 2016 |
Depressive symptoms feature-based machine learning approach to predicting depression using smartphone J Hong, J Kim, S Kim, J Oh, D Lee, S Lee, J Uh, J Yoon, Y Choi Healthcare 10 (7), 1189, 2022 | 14 | 2022 |
Crop growth monitoring system in vertical farms based on region-of-interest prediction Y Hwang, S Lee, T Kim, K Baik, Y Choi Agriculture 12 (5), 656, 2022 | 11 | 2022 |
Low-cost synchronization for multispectral cameras S Hwang, Y Choi, N Kim, K Park, JS Yoon, IS Kweon 2015 12th International Conference on Ubiquitous Robots and Ambient …, 2015 | 10 | 2015 |
Instance-aware plant disease detection by utilizing saliency map and self-supervised pre-training T Kim, H Kim, K Baik, Y Choi Agriculture 12 (8), 1084, 2022 | 7 | 2022 |
Robust Binary Feature Using the Intensity Order Y Choi, C Park, JY Lee, IS Kweon Computer Vision--ACCV 2014, 569-584, 2014 | 7 | 2014 |
Automatic Depression Prediction using Screen Lock/Unlock Data on the Smartphone J Kim, J Hong, Y Choi 2021 18th International Conference on Ubiquitous Robots (UR), 2021 | 6 | 2021 |
Exploring the temporal cues to enhance video retrieval on standardized cdva W Jo, G Lim, J Kim, J Yun, Y Choi IEEE Access 10, 38973-38981, 2022 | 5 | 2022 |
Gbnet: Gradient boosting network for monocular depth estimation D Han, Y Choi 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 5 | 2021 |
Real-time Arm Motion Imitation for Human-Robot Tangible Interface Y Choi, S Ra, CH Kim, M Park, S Kim, SK Park International Conference on Advanced Robotics, 2007 | 4 | 2007 |
Vvs: Video-to-video retrieval with irrelevant frame suppression W Jo, G Lim, G Lee, H Kim, B Ko, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2679-2687, 2024 | 3 | 2024 |