Original Papers- HASHIMOTO Koichi -
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total:313
[2019]
1.Preface: special issue on systems science of bio-navigation..[Advanced Robotics,33(3-4),(2019),107-]Koichi Hashimoto,Yuichi Tsumaki,Takuya Maekawa,Shizuko Hiryu
2.Context-based semantical vector representations for animal trajectories..[Advanced Robotics,33(3-4),(2019),118-133]Array,Array,Array
[2018]
3.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
4.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
5.Homogeneous light transport matrix estimation based 3D shape measurement..[IJMA,6(2/3),(2018),63-70]Naoya Chiba,Koichi Hashimoto
6.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
7.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
8.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
9.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
10.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
11.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
12.Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data..[2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018,abs/1804.08859,(2018),1-5]Joshua Owoyemi,Koichi Hashimoto
13.Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data..[CoRR,abs/1804.08859,(2018)]Joshua Owoyemi,Koichi Hashimoto
14.Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with VAE-GAN..[24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018,(2018),308-313]Cherdsak Kingkan,Koichi Hashimoto
15.Fast and Robust Pose Estimation Algorithm for Bin Picking Using Point Pair Feature..[24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018,(2018),1604-1609]Mingyu Li,Koichi Hashimoto
[2017]
16.Vision System for Coarsely Estimating Motion Parameters for Unknown Fast Moving Objects in Space..[Sensors,17(12),(2017),2820-]Min Chen, Koichi Hashimoto
10.3390/s17122820
http://www.ncbi.nlm.nih.gov/pubmed/29206189 http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000423285800120&DestApp=WOS
17.Curve Set Feature-Based Robust and Fast Pose Estimation Algorithm..[Sensors,17(8),(2017),1782-]Mingyu Li, Koichi Hashimoto
10.3390/s17081782
http://www.ncbi.nlm.nih.gov/pubmed/28771216 http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000408576900085&DestApp=WOS
18.A new platform for long-term tracking and recording of neural activity and simultaneous optogenetic control in freely behaving Caenorhabditis elegans..[Journal of neuroscience methods,286,(2017),56-68]Gengyo-Ando K, Kagawa-Nagamura Y, Ohkura M, Fei X, Chen M, Hashimoto K, Nakai J
10.1016/j.jneumeth.2017.05.017
http://www.ncbi.nlm.nih.gov/pubmed/28506879 http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000404709700007&DestApp=WOS
19.Calcium dynamics regulating the timing of decision-making in C. elegans..[eLife,6,(2017)]Tanimoto Y, Yamazoe-Umemoto A, Fujita K, Kawazoe Y, Miyanishi Y, Yamazaki SJ, Fei X, Busch KE, Gengyo-Ando K, Nakai J, Iino Y, Iwasaki Y, Hashimoto K, Kimura KD
10.7554/eLife.21629
http://www.ncbi.nlm.nih.gov/pubmed/28532547 http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000401794100001&DestApp=WOS
20.Multiple Drosophila Tracking System with Heading Direction..[Sensors,17(1),(2017),96-]Pudith Sirigrivatanawong, Shogo Arai, Vladimiros Thoma, Koichi Hashimoto
10.3390/s17010096
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000393021000096&DestApp=WOS
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