| Unsupervised learning of image segmentation based on differentiable feature clustering W Kim, A Kanezaki, M Tanaka IEEE Transactions on Image Processing 29, 8055-8068, 2020 | 240 | 2020 |
| Time series prediction of tropical storm trajectory using self-organizing incremental neural networks and error evaluation W Kim, O Hasegawa Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018 | 14 | 2018 |
| Automatic labeled LiDAR data generation based on precise human model W Kim, M Tanaka, M Okutomi, Y Sasaki 2019 International Conference on Robotics and Automation (ICRA), 43-49, 2019 | 9 | 2019 |
| Learning-based human segmentation and velocity estimation using automatic labeled lidar sequence for training W Kim, M Tanaka, M Okutomi, Y Sasaki IEEE Access 8, 88443-88452, 2020 | 7 | 2020 |
| Pixelwise dynamic convolution neural network for lidar depth data interpolation W Kim, M Tanaka, M Okutomi, Y Sasaki IEEE Sensors Journal 21 (24), 27736-27747, 2021 | 5 | 2021 |
| Human segmentation with dynamic LiDAR data T Zhong, W Kim, M Tanaka, M Okutomi 2020 25th International Conference on Pattern Recognition (ICPR), 1166-1172, 2021 | 3 | 2021 |
| Automatic labeled LiDAR data generation and distance-based ensemble learning for human segmentation W Kim, M Tanaka, M Okutomi, Y Sasaki IEEE Access 7, 55132-55141, 2019 | 3 | 2019 |
| Simultaneous forecasting of meteorological data based on a self-organizing incremental neural network W Kim, O Hasegawa Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2018 | 3 | 2018 |
| Adaptive future frame prediction with ensemble network W Kim, M Tanaka, M Okutomi, Y Sasaki International Conference on Pattern Recognition, 5-19, 2021 | 2 | 2021 |
| Prediction of tropical storms using self-organizing incremental neural networks and error evaluation W Kim, O Hasegawa Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 2 | 2017 |
| Deformable element-wise dynamic convolution W Kim, M Tanaka, Y Sasaki, M Okutomi Journal of Electronic Imaging 32 (5), 053029-053029, 2023 | 1 | 2023 |
| Improved kernel density estimation self-organizing incremental neural network to perform big data analysis W Kim, O Hasegawa Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 1 | 2018 |
| A Random Focusing Method with Jensen–Shannon Divergence for Improving Deep Neural Network Performance Ensuring Architecture Consistency W Kim Neural Processing Letters 56 (4), 199, 2024 | | 2024 |
| PD27-08 PRE-TRAINING AN AI MODEL USING TWO TYPES OF AUTOMATICALLY GENERATED IMAGES FOR CYSTOSCOPY AI DIAGNOSIS OF BLADDER CANCER A Ikeda, R Kounosu, W Kim, H Nosato, Y Nakajima, H Nishiyama Journal of Urology 211 (5S), e553, 2024 | | 2024 |
| Artificial intelligence in cystoscopic bladder cancer classification based on transfer learning with a pre-trained convolutional neural network without natural images R Kounosu, W Kim, A Ikeda, H Nosato, Y Nakajima Medical Imaging 2024: Computer-Aided Diagnosis 12927, 521-530, 2024 | | 2024 |
| A Novel Approach to Deep Metric Learning with In-Batch Feature Vector Constraint W Kim Proceedings of the 2024 International Conference on Innovation in Artificial …, 2024 | | 2024 |
| AUAAC: Area Under Accuracy-Accuracy Curve for Evaluating Out-of-Distribution Detection W Kim, M Tanaka, M Okutomi Pacific-Rim Symposium on Image and Video Technology, 43-55, 2023 | | 2023 |
Masayuki TANAKATokyo Institute of Technology確認したメール アドレス: sc.e.titech.ac.jp
