Publications in FY2013 - 2019

[1] Book Chapter & Tutorial Papers

  • ‰¤ú¹C‰Á“¡ƒWƒF[ƒ“Cus“®”FŽ¯‚Ì‚½‚ß‚ÌTwo-stream 3D BagNet`‰ðŽß‚Å‚«‚és“®”FŽ¯‚ð–ÚŽw‚µ‚ā`vC‰æ‘œƒ‰ƒ{C“ú–{H‹Æo”ŁC2020.

  • ‰Á“¡ƒWƒF[ƒ“C‰¤ú¹C¬‹v•Û‰ÃlCu[‘wŠwKƒAƒvƒ[ƒ`‚ÉŠî‚¢‚½•àsŽÒ‚̏ڍהFŽ¯vC‰æ‘œƒ‰ƒ{C“ú–{H‹Æo”ŁCVol.29, No.2, pp.15-24, 2018.

  • ¬‹v•Û‰ÃlC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“Cu’PŠáƒJƒƒ‰‰f‘œ‚©‚ç‚̘H–ʈʒu„’èŽè–@‚ÌŠJ”­vCŽÔÚƒZƒ“ƒVƒ“ƒO‹Zp‚ÌŠJ”­‚ƁCŽ©“®‰^“]ƒVƒXƒeƒ€‚ւ̉ž—pC‘æ7ß , pp.228-234, iŠ”j‹Zpî•ñ‹¦‰ïC2017.

[2] Journal Articles (Refereed)

  • "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]

  • ‰Á“¡ƒWƒF[ƒ“C’£Š¥•¶C‰¤ú¹CuƒtƒBƒ‹ƒ^[Eƒpƒ‰ƒ[ƒ^‚̏d—v“x‚É’…–Ú‚µ‚½¬‹K–̓^ƒXƒN‚Ì‚½‚ß‚ÌCNN‰Šú‰»Žè–@vClH’m”\Šw‰ï˜_•¶ŽCVol.32, No.3, pp.1-11, 2017.3.[pdf]

  • ¬‹v•Û‰ÃlC‰¤ú¹C’£Š¥•¶C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCu•àsŽÒ‚̏ڍהFŽ¯¸“x‚ðŒüã‚³‚¹‚邽‚߂̒ljÁŒ^Žè–@vC“dŽqî•ñ’ʐMŠw‰ï˜_•¶ŽCVol.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.

  • —é–ؐ“Žj, ƒƒ“ƒ†, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñCuƒNƒƒXƒf[ƒ^ƒZƒbƒg‚É‚¨‚¯‚és“®Ž¯•ÊŠí‚ÌŠwKƒAƒ‹ƒSƒŠƒYƒ€vC“d‹CŠw‰ï˜_•¶Ž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.

  • ’©‘q~, •½ŽR‚Žk, ŠÛ’J‹XŽj, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñCu‘½Ž‹“_‰f‘œ‚ÌŽ‹’®—š—ð‚ð—p‚¢‚½Ž‹“_‘JˆÚ—\‘ªƒ‚ƒfƒ‹‚ÌŒŸ“¢vClH’m”\Šw‰ï˜_•¶Ž, 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.

  • ‰Á“¡ƒWƒF[ƒ“C”’{—ɁC‰¤ú¹CŠÔ£Œ’“ñCu‘½‚­‚̉摜‚ª‹¤—L‚·‚éwˆê”ʃNƒ‰ƒXx‚É’…–Ú‚µ‚½ŒP—û‰æ‘œ‚Ì‘I‘ðvCî•ñˆ—Šw‰ï˜_•¶Ž, 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.

[3] International Conference/Workshop (Refereed)

  • "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, gVisual Violence Rating with Pairwise Comparisonh, 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)

  • Dichao Liu, Yu Wang Kenji Mase and Jien Kato, "Multi-Task Attention Learning for Fine-grained Recognition", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), 2020.12.

  • Longjiao Zhao, Yu Wang, Yoshiharu Ishikawa and Jien Kato, "Rethinking the local similarity in content-based image retrieval", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), 2020.12.

  • “à“c€–çC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CuTwo-stream 3D BagNet‚É‚æ‚él•¨s“®”FŽ¯vC“dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), –¼ŒÃ‰®H‹Æ‘åŠw, 2020.5.

  • ™ŽR—ڍ؁C‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CuŽÐ‰ïŠÖŒW‚ðŠˆ—p‚µ‚½‰f‘œ‰ï˜bƒV[ƒ“‚É‚¨‚¯‚镵ˆÍ‹C‚̐„’èvC“dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), –¼ŒÃ‰®H‹Æ‘åŠw, 2020.5.

  • ¬•½”üŽÑ‹GCƒƒ“ƒ†C‰Á“¡ƒWƒF[ƒ“CuLˆæE‹·ˆæƒlƒbƒgƒ[ƒN‚ð—p‚¢‚½•àsŽÒŒŸovC“dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), ‹ž“s‘åŠw, 2020.3.

  • Qianyuan Liu, Yu Wang and Jien Kato, "Continuous Variables Estimation through Classification Networks Ensembles", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), ‹ž“s‘åŠw, 2020.3.

  • ‹{“‡³Ž÷Cæ◲姣C“c’†Žm˜YC“c’†O”üC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CuD•¨‚Ì–€ŽCŠ´„’è‚Ì‚½‚ß‚ÌŽ‹GŠoî•ñ‚Ì‘ŠŠÖ‰ðÍvCŽ¿Š´‚̂‚ǂ¢@‘æ5‰ñŒöŠJƒtƒH[ƒ‰ƒ€C‹ž“s‘åŠwC2019.12.4.

  • ¬•½”ü¹‹GC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“Cuƒ}ƒ‹ƒ`ƒŒƒxƒ‹‚̃p[ƒcƒ}ƒCƒjƒ“ƒO‚ð—p‚¢‚½•àsŽÒŒŸov, “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ, *(*), pp.97-102, ÂŽRŠw‰@‘åŠwC2018.3.18.

  • Longjiao Zhao, Yu Wang and Jien Kato, "Image Retrieval with Augmented Fine-tuned CNN Features", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), *(*), pp.115-119, ÂŽRŠw‰@‘åŠwC2018.3.18.

  • Ruisheng Qin, Yu Wang and Jien Kato, "BOJ253: A Large-scale Dataset for Butterfly Recognition", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 117(362), pp.19-24, Œc‰ž‘åŠwC2017.12.16.

  • ŽOˆäOŠóCƒƒ“ƒ†C‰Á“¡ƒWƒF[ƒ“, uŽÔÚƒJƒƒ‰‹y‚ÑLidar‚ð—p‚¢‚½‘½‘€ìó‹µ‚̐„’èv, “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 117(362), pp.59-63, Œc‰ž‘åŠwC2017.12.16.

  • Dichao Liu, Yu Wang and Jien Kato, "Hierarchical Multi-stream STNs for Fine-grained Action Recognition", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 117(362), pp.13-17, Œc‰ž‘åŠwC2017.12.16.

  • Dichao Liu, Yu Wang and Jien Kato,"Spatial Attention Selection for Fine-grained Action Recognition", “d‹CŠÖŒWŠw‰ï“ŒŠCŽx•”˜A‡‘å‰ïu‰‰˜_•¶W, –¼ŒÃ‰®‘åŠwCG4-3, 2017.9.8. IEEE Nagoya Section Student Paper Award

  • ŽOˆäOŠóC‰Á“¡ƒWƒF[ƒ“C‰¤ú¹,"ŽÔÚƒJƒƒ‰‰f‘œ‚ð—p‚¢‚½”ÏŽGó‹µ‚̐„’è", “d‹CŠÖŒWŠw‰ï“ŒŠCŽx•”˜A‡‘å‰ïu‰‰˜_•¶W, –¼ŒÃ‰®‘åŠwCG4-3, 2017.9.8.[pdf]

  • ¬‹v•Û‰ÃlC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCu•”•ª‚Æ‘S‘̂𒍖ڂµ‚½CNN‚Ì—Z‡‚É‚æ‚é•àsŽÒ‚Ì‘®«‚̏ڍהFŽ¯vC“dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 116(461), pp.87-90, –kŠC“¹‘åŠw, 2017.2.18. [pdf]

  • Cong Cao, Yu Wang, Jien Kato and Kenji Mase, "Part-aware CNN for Pedestrian Detection", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 116(461), pp.87-90, Hokkaido University, 2017.2.18. [pdf]

  • Dichao Liu, Yu Wang, Jien Kato and Kenji Mase, "Evaluation of Triple-stream Convolutional Network for Action Recognition", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 116(461), pp.91-94, Hokkaido University, 2017.2.18.

  • Longjiao Zhao, Yu Wang, Jien Kato and Kenji Mase, "More Convolution Filters for Beter Image Retrieval", “dŽqî•ñ’ʐMŠw‰ï‹Zp•ñ(PRMU), 116(461), Hokkaido University, pp.211-212, 2017.2.18.

  • Yingying Di, Yu Wang, Jien Kato and Kenji Mase, "A Dataset of Dashboard Camera Videos for Driving Danger Detection", î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ïCpp.2-447-2-448, Nagoya University, 2017.3.16-18. [pdf]

  • ŽOˆäOŠóC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCuŽÔÚƒZƒ“ƒT‚Æ•àsŽÒ‚Ì‘®«‚É‚æ‚é•àsŽÒ‚̍s“®—\‘ªvCî•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ïCpp.3-251-3-252, –¼ŒÃ‰®‘åŠw, 2017.3.16-18. [pdf]

  • –kŠ_CC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCuŽÔÚƒJƒƒ‰‰f‘œ‚É‚¨‚¯‚éŠëŒ¯‚ÌŒŸ’mvCî•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ïCpp.2-455-2-456, –¼ŒÃ‰®‘åŠw, 2017.3.16-18. [pdf]

  • Cong Cao, Guanwen Zhang, Yu Wang, Jien Kato, Kenji Mase, "Pedestrian Detection using Mid-level Body Parts", “dŽqî•ñ’ʐMŠw‰ï‹ZpŒ¤‹†•ñ(PRMU), 116(39), pp.91-94, Nagoya University, 2016.5.19. Monthly Best Presentation Award

  • ¬‹v•Û‰Ãl, ƒƒ“ƒ†, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñCu“Œvî•ñ‚ð—p‚¢‚½•àsŽÒ‚̐¸×•ª—ށvC“dŽqî•ñ’ʐMŠw‰ïƒpƒ^[ƒ“”FŽ¯EƒƒfƒBƒA—‰ðŒ¤‹†‰ï(PRMU), ‘åã‘åŠw, pp.169-173, 2016.1.22.

  • “à“¡‹M, ‰¤ú¹, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñ,uŽž‹óŠÔã–\—̓V[ƒ“ƒ‰ƒxƒŠƒ“ƒOƒc[ƒ‹‚Ì’ñˆÄv, •½¬27”N“x“d‹CŠÖŒWŠw‰ï“ŒŠC˜A‡‘å‰ï, –¼ŒÃ‰®H‹Æ‘åŠw, M4-7, 2015.9.29. [pdf]

  • Cong Cao, Guanwen Zhang, Yu Wang, Jien Kato, "Evaluation of CNN Features in Poselets Classification", •½¬27”N“x“d‹CŠÖŒWŠw‰ï“ŒŠC˜A‡‘å‰ï˜_•¶W, M2-2, –¼ŒÃ‰®H‹Æ‘åŠw, 2015.9.28. [pdf]

  • ¬–쐣—Ç—SC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCuƒ`ƒ‡ƒE‚ÌŽí—Þ‚ð“Á’è‚·‚镨‘Ì”FŽ¯Žè–@‚ÌŒŸ“¢v, •½¬27”N“x“d‹CŠÖŒWŠw‰ï“ŒŠC˜A‡‘å‰ï, M2-1, –¼ŒÃ‰®H‹Æ‘åŠw, 2015.9.28. [pdf]

  • ¬‹v•Û‰Ãl, ƒƒ“ƒ†, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñCuƒT[ƒtƒFƒXƒŒƒCƒAƒEƒg‚ð—p‚¢‚½’PŠáƒJƒƒ‰‰f‘œ‚©‚ç‚̘H–ʈʒu„’èvC“dŽqî•ñ’ʐMŠw‰ïƒpƒ^[ƒ“”FŽ¯EƒƒfƒBƒA—‰ðŒ¤‹†‰ï(PRMU), pp.19-22, 2015.5.

  • ‰Á“¡ƒWƒF[ƒ“, ‰¤ú¹,uƒrƒfƒIƒRƒ“ƒeƒ“ƒc‚É‚¨‚¯‚é–\—Í“x‚ÌŽ©“®ƒŒ[ƒeƒBƒ“ƒOv, “dŽqî•ñ’ʐMŠw‰ï‹ZpŒ¤‹†•ñ(PRMU), Œc‰ž‘åŠw, pp.235-238, 2015.3.19-20.

  • —é–ؐ“ŽjC‰¤ú¹C‰Á“¡ƒWƒF[ƒ“CŠÔ£Œ’“ñCuƒNƒƒXƒf[ƒ^ƒZƒbƒg‚ɑ΂·‚éƒZƒ‹ƒtƒgƒŒ[ƒjƒ“ƒO‚ł̃f[ƒ^‘I‘ðŽè–@‚Ì’ñˆÄvC“dŽqî•ñ’ʐMŠw‰ï‹ZpŒ¤‹†•ñ(PRMU), ‹ãB‘åŠwCpp.85-89, 2014.12.11-12.

  • “à“¡‹M, ‰Á“¡ƒWƒF[ƒ“, ‰¤ú¹, ŠÔ£Œ’“ñ,uŽž‹óŠÔ“Á’¥‚ð—p‚¢‚½YouTubeã‚̃rƒfƒI“à‚Ì–\—̓V[ƒ“ŒŸov, ‘æ3‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€(FIT2014)C’}”g‘åŠw, pp.185-188, 2014.9.3-5.

  • Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase, "People Re-identification with Auxiliary Knowledge", “dŽqî•ñ’ʐMŠw‰ïƒpƒ^[ƒ“”FŽ¯EƒƒfƒBƒA—‰ðŒ¤‹†‰ï(PRMU), pp.251-255, 2014.1.

  • Yu Wang, Jien Kato and Kenji Mase, "Action Recognition with Bundled Pose Representation",‘æ16‰ñ‰æ‘œ”FŽ¯E—‰ðƒVƒ“ƒ|ƒWƒEƒ€i(MIRU2013)˜_•¶W, SS2-4, ‘—§î•ñŠwŒ¤‹†Š, ƒ|ƒXƒ^[, ¸“Ç—L, 2013.7.29-8.1.

  • Takeyuki Suzuki, Jien Kato, Yu Wang and Kenji Mase, "Domain Adaptive Action Recognition with Integrated Feature Selection and Self-training", ‘æ16‰ñ‰æ‘œ”FŽ¯E—‰ðƒVƒ“ƒ|ƒWƒEƒ€(MIRU2013)˜_•¶W, SS3-6, ‘—§î•ñŠwŒ¤‹†Š, ƒ|ƒXƒ^[, ¸“Ç—L.

  • ’©‘q~, •½ŽR‚Žk, ŠÛ’J‹XŽj, ‰Á“¡ƒWƒF[ƒ“, ŠÔ£Œ’“ñ, u‘½Ž‹“_‰f‘œ‚ÌŽŽ’®—š—ð‚ð—p‚¢‚½Ž‹“_‘JˆÚ—\‘ªƒ‚ƒfƒ‹‚ÌŒŸ“¢v, 2G1-1, ‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, •xŽR‘Û‰ï‹cê, 2013.6.4-7.

[5] Patents

  • Žá—ѕۍFC“c’†½ˆêC‰Á“¡ƒWƒF[ƒ“C‰¤ú¹Cu‰f‘œ•\Ž¦‘•’uCŽ‹’®§Œä‘•’u‹y‚ÑŽ‹’®§ŒäƒvƒƒOƒ‰ƒ€vCoŠè”ԍ†F2014-192741CoŠè“úF2014.9.22.

  • “c’†½ˆêCŽá—ѕۍFC‰Á“¡ƒWƒF[ƒ“C‰¤ú¹Cu‰f‘œ•\Ž¦‘•’uCŽ‹’®§Œä‘•’uvC oŠè”ԍ†:2014-192742CoŠè“ú:2014.9.22.

  • ‰Á“¡ƒWƒF[ƒ“C‰¤ú¹CuƒrƒfƒIƒRƒ“ƒeƒ“ƒc–\—Í“x•]‰¿‘•’uCƒrƒfƒIƒRƒ“ƒeƒ“ƒc–\—Í“x•]‰¿•û–@‚¨‚æ‚уrƒfƒIƒRƒ“ƒeƒ“ƒc–\—Í“x•]‰¿ƒvƒƒOƒ‰ƒ€vC“ÁŠè:2014-022845.

 [6] Thesis

  • ¬•½”ü¹‹GCu[‘wƒ[ƒJƒ‹“Á’¥‚ðŠˆ—p‚µ‚½•àsŽÒŒŸovCMaster, 2020, 2.

  • Qianyuan Liu, "Continuous Variables Estimation Through Classification Networks Ensembles", Master, 2020, 2.

  • ˆÀ“¡Ø–¼Cu‰¹‚Ɖ摜‚ð—p‚¢‚½–\—̓V[ƒ“‚ÌŒŸovCGraduation, 2020. 1.

  • •Ÿ“c—ȁCu“ñ—֎ԎԍڃJƒƒ‰‚©‚ç‚ÌŽ©“]ŽÔŒŸovCGraduation, 2020. 1.

  • ‹{“‡³Ž÷CuD•¨‚Ì–€ŽCŠ´„’è‚Ì‚½‚ß‚ÌŽ‹GŠoî•ñ‚Ì‘ŠŠÖ‰ðÍvCGraduation, 2020. 1.

  • ’†‘º‘听Cuƒjƒ…[ƒX‰f‘œ‚É‚æ‚é—v–ñƒf[ƒ^ƒZƒbƒg‚̍쐬‚Æ—v–ñŽè–@‚É‚æ‚é—v–ñŒ‹‰Ê‚ł̐¸“x”äŠrvCGraduation, 2020. 1.

  • ¬–ìŽjDCuƒ`ƒ‡ƒE‚̏ڍהFŽ¯‚É‚¨‚¯‚éƒpƒbƒ`‰æ‘œ‚ðŠˆ—p‚µ‚½Žè–@‚ÌŒŸØvCGraduation, 2020. 1.

  • Yuqiao Shi, uŠK‘w\‘¢‚ð—p‚¢‚½’€ŽŸ“I”FŽ¯ƒAƒvƒ[ƒ`‚Ì—LŒø«‚ÌŒŸØvCGraduation, 2020. 1.

  • ™ŽR—ڍ؁CuŽÐ‰ïŠÖŒW‚ðŠˆ—p‚µ‚½‰f‘œ‰ï˜bƒV[ƒ“‚É‚¨‚¯‚ée–§“x‚̐„’èvCGraduation, 2020. 1.

  • “à“c€–çCu3D CNN‚É‚æ‚é‹ÇŠŽž‹óŠÔ“Á’¥‚ð—p‚¢‚½s“®”FŽ¯‚É‚¨‚¯‚é”FŽ¯ª‹’‚Ì•ªÍvCGraduation, 2020. 1.

  • ˜h”ö—S‰ÀCuSiamese Two-streamƒlƒbƒgƒ[ƒN‚É‚æ‚éŽè˜b“®‰æ”äŠrvCGraduation, 2020. 1.

  • Ying Ji, "Visual Violence Rating with Pairwise Comparision", Master, 2019.2.

  • –kŠ_C, uTwo-Stream CNN‚ð—p‚¢‚½–¢—ˆƒtƒŒ[ƒ€—\‘ª‚É‚æ‚éˆÙíŒŸov, Master, 2019.2.

  • Ruisheng Qin, "Fine-grained Butterfly Recognition with Auxiliary Annotations", Master, 2019.2.

  • ŽOˆäOŠó,uŽÔÚƒJƒƒ‰‹y‚ÑLidar‚ð—p‚¢‚½‰^“]‘€ì„’èv, Master, 2018.1.26.

  • Dichao Liu, "Fine-grained Action Recognition based on Multi-scale Attention Learning," Master, 2018.1.26.

  • Longjiao Zhao, "Study on Deep Convoluational Features in Image Retrieval," Master, 2018.1.26.

  • Yingying Di, "Driving Danger Attribute Analysis Based on Dashboard Camera Videos," Master, 2016.1.26.

  • ‰J‹{ËŽq, uCNN‚ð—p‚¢‚½‘æˆêˆóÛ‚ÌŽ©“®„’èv, Graduation, 2017.2.

  • –kŠ_C, uŽÔÚƒJƒƒ‰‰f‘œ‚É‚¨‚¯‚鎖ŒÌƒŠƒXƒN‚̃Œ[ƒeƒBƒ“ƒOv,  Graduation, 2017.2.

  • ¬‹v•Û‰Ãl, u•àsŽÒ‚Ì‘®«”FŽ¯‚É‚¨‚¯‚鐸“xŒüã‚Ì‚½‚߂̒ljÁŒ^Žè–@‚ÉŠÖ‚·‚錤‹†v, Master, 2017.1.

  • Cong Cao, gA Part-aware Deep Learning Approach for Handling Occlusion Issues in Pedestrian Detectionh, Master, 2017.1. [pdf]

  • ¬–쐣—Ç—C,uƒ`ƒ‡ƒE‚̏ڍהFŽ¯‚Ì‚½‚߂̃f[ƒ^ƒZƒbƒg‚̍쐬‚¨‚æ‚Ñ—L—p«‚̍lŽ@vCGraduation, 2016.2.

  • “à“¡‹M, u–\—̓V[ƒ“”FŽ¯‚Ì‚½‚ß‚ÌŽåŠÏE‹qŠÏƒ‰ƒxƒ‹•t‚«ƒf[ƒ^ƒZƒbƒg‚̍쐬v, Master, 2016.1.

  • —é–ؐ“ŽjCuƒNƒƒXƒf[ƒ^ƒZƒbƒg‚É‚¨‚¯‚és“®”FŽ¯Ší‚ÌŠwKƒAƒ‹ƒSƒŠƒYƒ€vCMaster, 2015.1.

  • ¬‹v•Û‰ÃlCuƒT[ƒtƒFƒXƒŒƒCƒAƒEƒg‚ð—p‚¢‚½’PŠáƒJƒƒ‰‰f‘œ‚©‚ç‚̘H–ʈʒu„’èvCGraduation, 2015.2.

  • Guanwen Zhang, "A Study of Real-word People Re-identification",PhD, 2014.9.29.

  Visiting

  • 2019.8.1-2, ’†‘‰ÈŠw‰@”÷“dŽqŒ¤‹†ŠProf.Ying Liu—ˆ–KD

  • 2019.5-2019.7, ƒCƒ“ƒhEƒVƒ“ƒrƒIƒVƒX‘Û‘åŠw‚Ì“Á•ÊŒ¤‹†Šw¶Devanshi Sukhija‚³‚ñŽó“ü.

  • 2017.11.28, ’†‘‰ÈŠw‹Zp‘åŠwŠw¶‚É‚æ‚éCuî•ñ‹Zp‚Å—D‚µ‚¢lŠÔŽÐ‰ï‚ÌŽÀŒ»‚ð–ÚŽw‚·æ’[“I‚ÈŒ¤‹†‚ÌŽ‹Ž@vC‚³‚­‚çƒTƒCƒGƒ“ƒXƒvƒ‰ƒ“µ‚Ö‚¢Ž–‹ÆD

  • 2017.1.18-20, Prof. Keqiu Li of Tanjin Unversity, China.

  • 2016.26, ÂŠCŽt”Í‘åŠwƒ`ƒxƒbƒgŒêî•ñˆ—‹³ˆç•”d“_ŽÀŒ±ŽºŒ±Žû

  • 2016.22-30, ‹³ˆç•”t晖Œv‰æC¼‰Ø‘åŠwi¬“sjCÂŠCŽt”Í‘åŠwi¼”Jj‚ð–K–â

  • 2016.10.1-2017.9.30, Heng Qi (Dalian University of Technology), JSPS Postdoctoral Fellowship

  • 2015.11.13-14, Prof. Keqiu Li of Tanjin Unversity, China.

    
2019-07-09