| Attention branch network: Learning of attention mechanism for visual explanation H Fukui, T Hirakawa, T Yamashita, H Fujiyoshi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 540 | 2019 |
| Filmy cloud removal on satellite imagery with multispectral conditional generative adversarial nets K Enomoto, K Sakurada, W Wang, H Fukui, M Matsuoka, R Nakamura, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 129 | 2017 |
| Embedding human knowledge into deep neural network via attention map M Mitsuhara, H Fukui, Y Sakashita, T Ogata, T Hirakawa, T Yamashita, ... arXiv preprint arXiv:1905.03540, 2019 | 85 | 2019 |
| Pedestrian detection based on deep convolutional neural network with ensemble inference network H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase 2015 IEEE Intelligent Vehicles Symposium (IV), 223-228, 2015 | 68 | 2015 |
| Visual explanation by attention branch network for end-to-end learning-based self-driving K Mori, H Fukui, T Murase, T Hirakawa, T Yamashita, H Fujiyoshi 2019 IEEE intelligent vehicles symposium (IV), 1577-1582, 2019 | 52 | 2019 |
| Cost-alleviative learning for deep convolutional neural network-based facial part labeling T Yamashita, T Nakamura, H Fukui, Y Yamauchi, H Fujiyoshi IPSJ Transactions on Computer Vision and Applications 7, 99-103, 2015 | 14 | 2015 |
| Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase 2016 IEEE Intelligent Vehicles Symposium (IV), 322-327, 2016 | 11 | 2016 |
| Attention neural baby talk: Captioning of risk factors while driving Y Mori, H Fukui, T Hirakawa, J Nishiyama, T Yamashita, H Fujiyoshi 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4317-4322, 2019 | 9 | 2019 |
| Body posture and face orientation estimation by convolutional network with heterogeneous learning K Okuno, T Yamashita, H Fukui, S Noridomi, K Arata, Y Yamauchi, ... 2018 International Workshop on Advanced Image Technology (IWAIT), 1-4, 2018 | 7 | 2018 |
| Multi-Object Tracking as Attention Mechanism H Fukui, T Miyagawa, Y Morishita 2023 IEEE International Conference on Image Processing (ICIP), 505-509, 2023 | 4 | 2023 |
| Multiple facial attributes estimation based on weighted heterogeneous learning H Fukui, T Yamashita, Y Kato, R Matsui, T Ogata, Y Yamauchi, H Fujiyoshi Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 4 | 2017 |
| Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network T Yamashita, H Fukui, Y Yamauchi, H Fujiyoshi 2016 23rd International Conference on Pattern Recognition (ICPR), 3500-3505, 2016 | 4 | 2016 |
| Facial Image Generation by Generative Adversarial Networks using Weighted Conditions. H Adachi, H Fukui, T Yamashita, H Fujiyoshi VISIGRAPP (4: VISAPP), 139-145, 2019 | 2 | 2019 |
| Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate H Fukui, T Yamashita, Y Yamauchi, H Fujiyoshi, H Murase IEICE TRANSACTIONS on Information and Systems 101 (5), 1222-1231, 2018 | | 2018 |
| Weighted Heterogeneous Learning for Deep Convolutional Neural Network Based Facial Image Analysis H FUKUI, Y KATO, T YAMASHITA, Y YAMAUCHI, H FUJIYOSHI | | |
| DPM Score Regressor for Detecting Occluded Humans from Depth Images T Usami, H Fukui, Y Yamauchi, T Yamashita, H Fujiyoshi | | |
Hironobu FujiyoshiProfessor, Chubu UniversityVerified email at isc.chubu.ac.jp
