• "A Multi-task Attention Strengthening Model for Fine-grained Image Classification Pattern Recognition" under review

• Ji Ying, Yu Wang, and Jien Kato"Predicting Violence Rating based on Pairwise Comparison", IEICE Trans. on Information and Systems, accepted.

• Lonfjiao Zhao, Yu Wang, and Jien Kato, "Rethinking the Roration Invariance of Local Convolutional Features for Content-based Image Retrieval Data of Evaluation", IEICE Trans. on Information and Systems, accepted.

• Ke Tian, Mayu Urata, Mamoru Endo, Katsuhiro Mouri, Takami Yasuda and Jien Kato, "Real-World Oriented Smartphone AR Supported Learning System Based on Planetarium Contents for Seasonal Constellation Observation", Applied Sciences, 2019.

• Dichao Liu, Yu Wang, and Jien Kato, "Attention-Guided Spatial Transformer Networks for Fine-grained Visual Recognition", IEICE Trans. on Information and Systems, Vol.E102-D, No.12, pp.2577-2586, 2019.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "A Novel Approach for Annotation-based Image Retrieval Using Deep Architecture",Journal of Multiple-Valued Logic and Soft Computing, Vol.30, Issue 4-6, pp.541-558, 2018.

•  Yuan Cao, Heng Qi, Wenrui Zhou, Jien Kato, Keqiu Li, Xiulong Liu and Jie Gui, "Binary Hashing for Approximate Nearest Neighbor Search on Big Data: A Survey", IEEE Access, Vol.6, pp.2039-2054, 2017.12.

• Yuan Cao, Heng Qi, Jien Kato and Keqiu Li, "Hash Ranking with Weighted Asymmetric Distance for Image Search", IEEE Transactions on Computational Imaging, Vol.3, No.4, pp.1008-1019, 2017. [pdf]

• 加藤ジェーン，張冠文，王�ｹ，「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」，人工知能学会論文誌，Vol.32, No.3, pp.1-11, 2017.3.[pdf]

• 小久保嘉人，王�ｹ，張冠文，加藤ジェーン，間瀬健二，「歩行者の詳細認識精度を向上させるための追加型手法」，電子情報通信学会論文誌，Vol.J100-D, No.2, pp.265-276, Feb. 2017. [pdf]

• Yu Wang and Jien Kato, "Efficient Local Feature Encoding for Human Action Recognition with Approximate Sparse Coding", IEICE Transaction on Information and Systems, Vol.E99-D, No.4, pp.1212-1220, 2016. [pdf]

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "Multiple-shot People Re-identification by Patch-wise Learning", IEICE Transaction on Information and Systems, Vol.E98-D, No.12, pp.2257-2270, DOI:10.1587/transinf.2014EDP7427, 2015.

• 鈴木嵩史, ワンユ, 加藤ジェーン, 間瀬健二，「クロスデータセットにおける行動識別器の学習アルゴリズム」，電気学会論文誌C, Vol.135, No.12, pp.1574-1582, DOI:10.1541/ieejeiss.135.1574, 2015.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "Adaptive Metric Learning for People Re-identification", IEICE Transaction on Information and Systems, Vol.E97-D, No.11, pp.2888-2920, 2014.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "People Re-identification with Local Distance Comparison using Learned Metric", IEICE Transaction on Information and Systems, Vol.E97-D, No.9, pp.2461-2472, 2014.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "Multi-Stage Deep Convolutional Learning for People Re-identification", International Journal of Computer Systems Science & Engineering, Vol.29, No.4, pp.243-257, 2014.

• 朝倉淳, 平山高嗣, 丸谷宜史, 加藤ジェーン, 間瀬健二，「多視点映像の視聴履歴を用いた視点遷移予測モデルの検討」，人工知能学会論文誌, Vol.29, No.1, pp.207-212, 2014.

• Yu Wang, Jien Kato and Kenji Mase, "Summarizing Nursery School Surveillance Videos by Distance Metric Learning", Journal of Information Processing, Vol.22, No.1, pp.56-66, 2014.

• 加藤ジェーン，白須遼，王�ｹ，間瀬健二，「多くの画像が共有する『一般クラス』に着目した訓練画像の選択」，情報処理学会論文誌, Vol.55, No.1, pp.542-552, 2014.

• Guanwen Zhang, Yu Wang, Jien Kato, Takafumi Marutani and Kenji Mase, "Local Distance Comparison for Multiple-shot People Re-identification", Computer Vision-ACCV 2012, LNCS 7726,  K.M.Lee, Y.Matsushita, J.M.Rehg, Z.Hu (Eds.), pp.677-690, Springer, 2013.

• "Attention-based Multi-based Learning for Fine-grained Image Classification", under review.

• Dichao Liu, Yu Wang, Jien Kato, "Attention-Strengthened Feature Learning for Fine-grained Image Recognition", BMVC2020, Sept. 7-10, 2020.

• Ying Ji, Yu Wang, and Jien Kato, “Visual Violence Rating with Pairwise Comparison”, Proc. of 2019 IEEE International Conference on Image Processing (ICIP 2019), pp.3332-3336, Taiwan, 2019.09.

• Dichao Liu, Yu Wang and Jien Kato, "Supervised Spatial Transformer Networks for Attention Learning in Fine-grained Action Recognition", 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019.02.

• Misaki Kodaira, Yu Wang, Jien Kato, Hiroshi Murase and Hiromi Tanaka, "Good Deep Features for Pedestrian Detection", The 25th International Workshop on Frontiers of Computer Vision, 2019.02.

• Longjiao Zhao, Yu Wang, Jien Kato and Hiromi Tanaka, "Good Practice of Using Deep Features in Content-based Image Retrieval", The 25th International Workshop on Frontiers of Computer Vision, 2019.02.

• Yu Wang and Jien Kato, "Good Choices for Deep Convolutional Feature Encoding", Proc. of IEEE Winter Conference on Applications of Computer Vision (WACV 2019), 2019.01.

• Yu Wang and Jien Kato, "Collision Risk Rating of Traffic Scene from Dashboard Cameras", Proc. of International Conference on Digital Image Computing: Techniques and Application (DICDA 2017), Sydney, Australia, pp.519-524, Nov.29-Dec.1, 2017. [pdf]

• Dichao Liu, Yu Wang and Jien Kato, "Evaluation of Triple-Stream Convolutional Networks for Action Recognition", Proc. of International Conference on Digital Image Computing: Techniques and Application (DICDA 2017), Sydney, Australia, pp.513-518, Nov.29-Dec.1, 2017. [pdf]

• Longjiao Zhao, Yu Wang and Jien Kato, "Local Features Augmenting for Better Image Retrieval", Proc. of International Conference on Digital Image Computing: Techniques and Application (DICDA 2017), Sydney, Australia, pp.683-687, Nov.29-Dec.1, 2017. [pdf]

• Cao Cong, Yu Wang, Jien Kato, Guanwen Zhang and Kenji Mase, "Solving Occlusion Problem in Pedestrian Detection by Construction Discriminative Part Layers", IEEE Winter Conference on Applications of Computer Vision (WACV 2017), Santa Rosa, U.S.A., pp.91-99, March 27-29, 2017. [pdf]

• Yoshihito Kokubo, Yu Wang, Jien Kato, Guanwen Zhang and Kenji Mase, "Add-on Strategies for Fine-grained Pedestrian Classification", Proc. of International Conference on Digital Image Computing: Techniques and Application (DICDA 2016), Gold Coast, Australia, pp.532-537, Nov.30-Dec.2, 2016. [pdf]

• Kie Tian, Mayu Urata, katsuhiro Mouri, Mamoru Endo, Takami Yasuda and Jien Kato, "Development of a Real-World Oriented Smartphone AR Supported Learning System for Seasonal Constellation Observation", Proc. of The 23rd Internatinal Conference on Computers in Education (ICCE 2015), short paper, pp.390-395, Hangzhou, China, Nov.30-Dec.4, 2015.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "How to Initialize the CNN for Small Datasets: Extracting Discriminative Filters from Pre-trained Model", Proc. of The 3rd IAPR Asian Conference on Pattern Recognition (ACPR'2015), PS2-34, Kuala Lumpur, Malaysia, Nov.3-6, 2015.

• Yu Wang and Jien Kato, "Video-level Violence Rating with Rank Prediction", Proc. of The 3rd IAPR Asian Conference on Pattern Recognition (ACPR'2015), PS1-04, Kuala Lumpur, Malaysia, Nov.3-6, 2015.

• Yu Wang and Jien Kato, "Action Recognition with Approximate Sparse Coding", Proc. of IEEE International Conference on Image Processing (ICIP'2015), ARS-P1.1, Quebec City, Canada, Sept.27-30, 2015. Best 10% Paper Award

• Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase. "A Novel Approach for Annotation-based Image Retrieval using Deep Architecture", Proc. of the 9th International Conference on Frontier of Computer Science & Technology (FCST2015), Dalian, China, Aug.26-29, 2015. Best Paper Award

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "People Re-identification Using Two-Stage Transfer Metic Learning", Proc. of IAPR International Conference on Machine Vision Applications (MVA'15), Tokyo, Japan, May 18-22, 2015.

• Wang Yu and Jien Kato, "Action Recognition with Shot Boundary Detection and Decoded iDT Features", ECCV2014 Workshop on THUMOS Challenge: Action Recognition with a Large Number of Classes, Zurich, Swiss, Sept. 6-12, 2014.

• Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase, "People Re-identification Using Deep Convolutional Neural Network", Proc. of The 9th International Conference on Computer Vision Theory and Applications (VISAPP'14), pp.216-223, Lisbon, Portugal, Jan.5-8, 2014.

• Takeyuki Suzuki, Jien Kato, Yu Wang and Kenji Mase, "Domain Adaptive Action Recognition with Integrated Feature Selection and Self-training", Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition (ACPR'13), Oral, Okinawa, Japan, Nov. 5-8, 2013.

• Guanwen Zhang, Jien Kato, Yu Wang and Kenji Mase, "Adaptive Metric Learning in Local Distance Comparison for People Re-identification", Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition (ACPR'13), Okinawa, Japan, Nov.11.5-8, 2013.

• Ryo Shirasu, Jien Kato, Yu Wang and Kenji Mase, "Common Class Information based Efficient Training Data Selection for Photo Categorization", Proceedings of 13th IAPR Conference on Machine Vision Applications (MVA'13), pp.194-197, Poster, Kyoto, May, 20-23, 2013.

[4] Domestic Conference (Nonrefereed)