1. | Social Relation Atmosphere Recognition with Relevant Visual Concepts (Peer-reviewed) Ying Ji, Yu Wang, Kensaku Mori, Jien Kato IEICE Transactions on Information and Systems Vol.E106-D,No.No.10 2023.10 |
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2. | Using Classifier Discrepancy for Cross-domain Image Retrieval (Peer-reviewed) Longjiao Zhao, Yu Wang, Jien Kato Proc. of IEEE 2023 International Conference on Image Processing (ICIP2023) 2023.10 |
3. | Learn from each other to Classify better: Cross-layer mutual attention learning for fine-grained visual classification (Peer-reviewed) Dichao Liu, Longjiao Zhao, Yu Wang, Jien Kato Pattern Recognition Vol.140 2023.8 |
4. | Long-tailed Image Recognition with Dynamic Re-weighting (Peer-reviewed) Xinyuan Li, Yu Wang, Jien Kato Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2023) 2023.6 |
5. | Spatial-temporal Concept based Explanation of 3D ConvNets (Peer-reviewed) Ying Ji, Yu Wang, Jien Kato Proc. of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR2023) 2023.6 |
6. | Learning Local Similarity with Spatial Interrelations on Content-Based Image Retrieval (Peer-reviewed) Longjiao Zhao, Yu Wang, Jien Kato, Yoshiharu Ishikawa IEICE Transactions on Information and Systems Vol.E106.D,No.5 2023.5 |
7. | Towards Extremely Lightweight Distracted Driver Recognition with Distillation-Based Neural Architecture Search and Knowledge Transfer (Peer-reviewed) Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato IEEE Transactions on Intelligent Transportation Systems Vol.24,No.1,pp.764-777 2023.1 |
8. | One-shot Network Pruning at Initialization with Discriminative Image Patches (Peer-reviewed) Yinan Yang, Yu Wang, Ying Ji, Heng Qi, Jien Kato Proc. of British Machine Vision Conference 2022 (BMVC2022) 2022.11 |
9. | Discriminative Part CNN for Pedestrian Detection (Peer-reviewed) Yu WANG, Cong CAO, Jien KATO IEICE Transactions on Information and Systems Vol.E105.D,No.3,pp.700-712 2022.3 |
10. | Recursive Multi-Scale Channel-Spatial Attention for Fine-Grained Image Classification (Peer-reviewed) Dichao LIU, Yu WANG, Kenji MASE, Jien KATO IEICE Transactions on Information and Systems Vol.E105.D,No.3,pp.713-726 2022.3 |
11. | 広域特徴と狭域特徴を用いた画像情報の部分欠損に頑健な歩行者検出 (Peer-reviewed) 王彧, 小平美沙季, 加藤ジェーン 情報処理学会論文誌 Vol.62,No.12,pp.2069-2078 2021.12 |
12. | Attention-based Multi-task Learning for Fine-grained Image Classification (Peer-reviewed) Dichao Liu, Yu Wang, Kenji Mase, Jien Kato Proc. of IEEE 2021 International Conference on Image Processing (ICIP2021) 2021.9 |
13. | TML: A Triple-Wise Multi-Task Learning Framework for Distracted Driver Recognition (Peer-reviewed) Dichao Liu, Toshihiko Yamasaki, Yu Wang, Kenji Mase, Jien Kato IEEE Access Vol.9,pp.125955-125969 2021.9 |
14. | Rotation Invariance Analysis of Local Convolutional Features in Image Retrieval (Peer-reviewed) Longjiao Zhao, Yu Wang, Jien Kato Proc. of 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2021) 2021.6 |
15. | Rethinking the Rotation Invariance of Local Convolutional Features for Content-based Image Retrieval (Peer-reviewed) Longjiao Zhao, Yu Wang, Jien Kato IEICE Transactions on Information and Systems Vol.E104.D,No.1,pp.174-182 2021.1 |
16. | Predicting Violence Rating Based on Pairwise Comparison (Peer-reviewed) Ying Ji, Yu Wang, Jien Kato, Kensaku Mori IEICE Transactions on Information and Systems Vol.E103-D,No.12,pp.2578-2589 2020.12 |
17. | Contrastively-reinforced Attention Convolutional Neural Network for Fine-grained Image Recognition (Peer-reviewed) Dichao Liu, Yu Wang, Jien Kato, Kenji Mase Proc. of British Machine Vision Conference 2020 (BMVC2020) 2020.9 |
18. | Attention-Guided Spatial Transformer Networks for Fine-grained Visual Recognition (Peer-reviewed) Dichao Liu, Yu Wang, Jien Kato IEICE Transactions on Information and Systems Vol.E102-D,No.12,pp.2577-2586 2019.12 |
19. | Visual Violence Rating with Pairwise Comparison (Peer-reviewed) Ying Ji, Yu Wang, Jien Kato Proc. of IEEE 2019 International Conference on Image Processing (ICIP2019) 2019.9 |
20. | Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition (Peer-reviewed) Dichao Liu, Yu Wang, Jien Kato Proc. of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP2019) 2019.2 |
21. | Good Choices for Deep Convolutional Feature Encoding (Peer-reviewed) Yu Wang, Jien Kato Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV2019) 2019.1 |
22. | A Novel Approach for Annotation-based Image Retrieval Using Deep Architecture (Peer-reviewed) Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase Journal of Multiple-Valued Logic and Soft Computing Vol.30,No.4-6,pp.541-558 2018 |
23. | Collision Risk Rating of Traffic Scene from Dashboard Cameras (Peer-reviewed) Yu Wang, Jien Kato Proc. of International Conference on Digital Image Computing: Techniques and Application (DICTA2017) 2017.11 |
24. | フィルター・パラメータの重要度に着目した小規模タスクのためのCNN初期化手法 (Peer-reviewed) 加藤ジェーン, 張冠文, 王彧 人工知能学会論文誌 Vol.32,No.3,pp.1-11 2017.3 |
25. | Solving Occlusion Problem in Pedestrian Detection by Construction Discriminative Part Layers (Peer-reviewed) Cao Cong, Yu Wang, Jien Kato, Guanwen Zhang, Kenji Mase Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV2017) 2017.3 |
26. | 歩行者の詳細属性認識精度を向上させるための追加型手法 (Peer-reviewed) 小久保嘉人, 王彧, 張冠文, 加藤ジェーン, 間瀬健二 電子情報通信学会論文誌 Vol.J100-D,No.2,pp.265-276 2017.2 |