Original Papers- HASHIMOTO Koichi -
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[2019]
1.Disease-associated mutations hyperactivate KIF1A motility and anterograde axonal transport of synaptic vesicle precursors..[Proceedings of the National Academy of Sciences of the United States of America,116(37),(2019),18429-18434]Kyoko Chiba, Hironori Takahashi, Min Chen, Hiroyuki Obinata, Shogo Arai, Koichi Hashimoto, Toshiyuki Oda, Richard J McKenney, Shinsuke Niwa
10.1073/pnas.1905690116
http://www.ncbi.nlm.nih.gov/pubmed/31455732 http://www.scopus.com/inward/record.url?eid=85072051531&partnerID=40
2.Context-based semantical vector representations for animal trajectories..[Advanced Robotics,33(3-4),(2019),118-133]Ardakani, I., Hashimoto, K., Yoda, K.
10.1080/01691864.2019.1573704
3.Preface: special issue on systems science of bio-navigation..[Advanced Robotics,33(3-4),(2019),107-]Koichi Hashimoto,Yuichi Tsumaki,Takuya Maekawa,Shizuko Hiryu
10.1080/01691864.2019.1575544
4.STEFTR: A Hybrid Versatile Method for State Estimation and Feature Extraction From the Trajectory of Animal Behavior..[Frontiers in neuroscience,13,(2019),626]Shuhei J Yamazaki, Kazuya Ohara, Kentaro Ito, Nobuo Kokubun, Takuma Kitanishi, Daisuke Takaichi, Yasufumi Yamada, Yosuke Ikejiri, Fumie Hiramatsu, Kosuke Fujita, Yuki Tanimoto, Akiko Yamazoe-Umemoto, Koichi Hashimoto, Katsufumi Sato, Ken Yoda, Akinori Takahashi, Yuki Ishikawa, Azusa Kamikouchi, Shizuko Hiryu, Takuya Maekawa, Koutarou D Kimura
10.3389/fnins.2019.00626
http://www.ncbi.nlm.nih.gov/pubmed/31316332
5.Puppeteered rain: Interactive illusion of levitating water drops by position-dependent strobe projection.[ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019,(2019)]Kagami S, Higuchi K, Hashimoto K.
10.1145/3306214.3338603
6.Construction of A Route Choice Model for Application to A Pedestrian Flow Simulation.[2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019,(2019),614-619]Nishida R, Onishi M, Hashimoto K.
10.1109/PERCOMW.2019.8730657
7.Quantification of Aggregation and Associated Brain Areas in Drosophila Melanogaster.[2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019,(2019),759-764]Okuno T, Hashimoto K, Tanimoto H.
10.1109/PERCOMW.2019.8730594
8.Sparse estimation of light transport matrix under saturated condition.[British Machine Vision Conference 2018, BMVC 2018,(2019)]Chiba N, Hashimoto K.
9.Point attention network for gesture recognition using point cloud data.[British Machine Vision Conference 2018, BMVC 2018,(2019)]Kingkan C, Owoyemi J, Hashimoto K.
10.Animated Stickies: Fast Video Projection Mapping onto a Markerless Plane through a Direct Closed-Loop Alignment.[IEEE Transactions on Visualization and Computer Graphics,25(11),(2019),3094-3104]Kagami S, Hashimoto K.
10.1109/TVCG.2019.2932248
11.Perception of motion-adaptive color images displayed by a high-speed DMD projector.[26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings,(2019),1790-1793]Oshiro W, Kagami S, Hashimoto K.
10.1109/VR.2019.8797850
[2018]
12.Accurate Object Pose Estimation Using Depth Only..[Sensors (Basel, Switzerland),18(4),(2018)]Li M, Hashimoto K
10.3390/s18041045
http://www.ncbi.nlm.nih.gov/pubmed/29601549
13.Estimation of operation mode from the clamping force variation of injection molding machine (Application of big data from the injection molding machine under a production).[日本機械学会論文集(Web),84(857),(2018),ROMBUNNO.17‐00417(J‐STAGE)-]長沼恒雄, 長沼恒雄, 橋本浩一
14.Homogeneous light transport matrix estimation based 3D shape measurement..[IJMA,6(2/3),(2018),63-70]Naoya Chiba,Koichi Hashimoto
15.Sparse Estimation of Light Transport Matrix under Saturated Condition..[British Machine Vision Conference 2018, BMVC 2018, Northumbria University, Newcastle, UK, September 3-6, 2018,(2018),68-]Naoya Chiba,Koichi Hashimoto
16.Point Attention Network for Gesture Recognition Using Point Cloud Data..[British Machine Vision Conference 2018, BMVC 2018, Northumbria University, Newcastle, UK, September 3-6, 2018,(2018),118-]Cherdsak Kingkan,Joshua Owoyemi,Koichi Hashimoto
17.Understanding Animal Behavior Using Their Trajectories - A Case Study of Gender Specific Trajectory Trends..[Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II,(2018),3-22]Ilya Ardakani,Koichi Hashimoto,Ken Yoda
18.Ultra-Fast Multi-Scale Shape Estimation of Light Transport Matrix for Complex Light Reflection Objects..[2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018,(2018),1-5]Naoya Chiba,Koichi Hashimoto
19.Multiple Destinations Pedestrian Model using an Improved Social Force Model..[Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, including ECAI/IJCAI, AAMAS and ICML 2018 conferences (FAIM 2018), Stockholm, Sweden, Ju,(2018),24-30]Ryo Nishida,Masaki Onishi,Koichi Hashimoto
20.A full-color single-chip-DLP projector with an embedded 2400-fps homography warping engine..[Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH 2018, Emerging Technologies, SIGGRAPH 2018, Vancouver, BC, Canada, August 12-16, 2018,(2018),1:1-1:2-]Shingo Kagami,Koichi Hashimoto
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