Original Papers- HASHIMOTO Koichi -
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[2018]
21.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
22.Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data..[CoRR,abs/1804.08859,(2018)]Joshua Owoyemi,Koichi Hashimoto
23.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
24.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]
25.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
26.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
27.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]Keiko Gengyo-Ando, Yuko Kagawa-Nagamura, Masamichi Ohkura, Xianfeng Fei, Min Chen, Koichi Hashimoto, Junichi Nakai
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
28.Calcium dynamics regulating the timing of decision-making in C. elegans.[ELIFE,6,(2017)]Yuki Tanimoto, Akiko Yamazoe-Umemoto, Kosuke Fujita, Yuya Kawazoe, Yosuke Miyanishi, Shuhei J. Yamazaki, Xianfeng Fei, Karl Emanuel Busch, Keiko Gengyo-Ando, Junichi Nakai, Yuichi Lino, Yuishi Iwasaki, Koichi Hashimoto, Koutarou D. Kimura
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
29.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
30.Encoding Bird's Trajectory using Recurrent Neural Networks.[2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA),(2017),1644-1649]Ilya S. Ardakani, Koichi Hashimoto
10.1109/ICMA.2017.8016063
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000426271700286&DestApp=WOS
31.Multiple Drosophila Tracking with Behavior Classification.[2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA),(2017),1041-1046]Pudith Sirigrivatanawong, Koichi Hashimoto
10.1109/ICMA.2017.8015960
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000426271700183&DestApp=WOS
32.3D Measurement by Estimating Homogeneous Light Transport (HLT) Matrix.[2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA),(2017),1763-1768]Naoya Chiba, Koichi Hashimoto
10.1109/ICMA.2017.8016084
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000426271700307&DestApp=WOS
33.Lightning Markers: Synchronization-free Single-shot Detection of Imperceptible AR Markers Embedded in a High-Speed Video Display..[IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2017 Adjunct, Nantes, France, October 9-13, 2017,(2017),229-234]Tsutomu Kusanagi,Shingo Kagami,Koichi Hashimoto
10.1109/ISMAR-Adjunct.2017.75
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000425896400057&DestApp=WOS
34.Feedback projection for 3D measurements under complex lighting conditions..[2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017,(2017),4649-4656]Naoya Chiba, Shogo Arai, Koichi Hashimoto
10.23919/ACC.2017.7963673
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000427033304116&DestApp=WOS
35.Learning Human Motion Intention with 3D Convolutional Neural Network.[2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA),(2017),1810-1815]Joshua Owoyemi, Koichi Hashimoto
10.1109/ICMA.2017.8016092
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000426271700315&DestApp=WOS
[2016]
36.Model-Based Virtual Visual Servoing with Point Cloud Data.[IROS2016 IEEE/RSJ International Conference,(2016)]Cherdsak Kingkan , Shogo Ito, Shogo Arai, Takashi Nammoto and Koichi Hashimoto
37.Functional dissociation in sweet taste receptor neurons between and within taste organs of Drosophila.[Nature Communication,(2016)]Thoma, V., Knapek S, Arai S, Hartl M, Kohsaka H, Sirigrivatanawong P, Abe A, Hashimoto K and Tanimoto H
10.1038/ncomms10678
38.In actio optophysiological analyses reveal functional diversification of dopaminergic neurons in the nematode C. elegans.[Scientific Reports,(2016)]Yuki Tanimoto, Ying Grace Zheng, Ying Grace Zheng, Yukako Fujie, Koichi Hashimoto and Koutarou D. Kimura
10.1038/srep26297
39.Multiple Drosophila Tracking with Heading Direction in Crossover and Touching Scenarios.[2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO),(2016),1954-1959]Pudith Sirigrivatanawong, Koichi Hashimoto
10.1109/ROBIO.2016.7866615
http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=TohokuUniv&SrcApp=TohokuUniv&DestLinkType=FullRecord&KeyUT=WOS:000405724600328&DestApp=WOS
40.ビンピッキングのための高精度三次元計測とロバスト推定.[日本ロボット学会誌,34(4),(2016),261‐271(J‐STAGE)-]荒井翔悟, 原田智紀, 藤平敦, 橋本浩一
10.7210/jrsj.34.261
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