Active convolution: Learning the shape of convolution for image classification Y Jeon, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 210 | 2017 |
Constructing fast network through deconstruction of convolution Y Jeon, J Kim Advances in neural information processing systems 31, 2018 | 93 | 2018 |
Robust recurrent network model for intermittent time-series forecasting Y Jeon, S Seong International Journal of Forecasting 38 (4), 1415-1425, 2022 | 24 | 2022 |
Associative partial domain adaptation Y Kim, S Hong, S Yang, S Kang, Y Jeon, J Kim arXiv preprint arXiv:2008.03111, 2020 | 7 | 2020 |
Logit Mixing Training for More Reliable and Accurate Prediction. D Bang, K Baek, J Kim, Y Jeon, JH Kim, J Kim, J Lee, H Shim IJCAI, 2812-2819, 2022 | 4 | 2022 |
Sample-based regularization: A transfer learning strategy toward better generalization Y Jeon, Y Choi, J Park, S Yi, D Cho, J Kim arXiv preprint arXiv:2007.05181, 2020 | 4 | 2020 |
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection C Lee, J Son, H Shon, Y Jeon, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 2883-2891, 2024 | 3 | 2024 |
Integrating multiple receptive fields through grouped active convolution Y Jeon, J Kim IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 3892 …, 2020 | 1 | 2020 |
Modelling of celestial backgrounds DL Hickman, MI Smith, JW Lim, YH Jeon Sensors and Systems for Space Applications XI 10641, 11-23, 2018 | 1 | 2018 |
RealPixVSR: Pixel-Level Visual Representation Informed Super-Resolution of Real-World Videos TN Park, Y Jeon, T Na Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
Generation of synthetic celestial imagery in the visible and infrared bands DL Hickman, MI Smith, JW Lim, YH Jeon Electro-Optical and Infrared Systems: Technology and Applications XV 10795 …, 2018 | | 2018 |
EO/IR Images Registration using Recursive Localized Normalized Mutual Information and Implementation Y Jeon Journal of the Korea Institute of Military Science and Technology 16 (4 …, 2013 | | 2013 |
Logit As Auxiliary Weak-supervision for More Reliable and Accurate Prediction D Bang, Y Jeon, JH Kim, J Kim, H Shim | | |