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About
Our goal is to achieve intelligent and flexible control of high-speed
sensory-motor systems. To this end, our research activities involve both
theoretical and practical studies such as visual servoing, control and
system theories, development of high-speed vision systems and
application to system biology.
News
2018
- Kingkan, Joshua, Hashimoto's paper was accepted by British Machine Vision Conference (BMVC2018)
Cherdsak Kingkan, Joshua Owoyemi, Koichi Hashimoto, "Point Attention Network for Gesture Recognition Using Point Cloud Data," The 29th British Machine Vision Conference (BMVC2018)
- Chiba, Hashimoto's paper was accepted by British Machine Vision Conference (BMVC2018)
Naoya Chiba, Koichi Hashimoto, "Sparse Estimation of Light Transport Matrix under Saturated Condition," The 29th British Machine Vision Conference (BMVC2018)
- Kingkan, Hashimoto's paper was accepted by International Conference on Pattern Recognition (ICPR2018).
Cherdsak Kingkan and Koichi Hashimoto, "Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with VAE-GAN", International Conference on Pattern Recognition (ICPR2018)
- Li, Hashimoto's paper was accepted by International Conference on Pattern Recognition (ICPR2018)
Mingyu Li and Koichi Hashimoto, "Fast and Robust Pose Estimation Algorithm for Bin Picking Using Point Pair Feature", International Conference on Pattern Recognition (ICPR2018)
- Chiba, Hashimoto's paper was accepted by International Conference on Robotics and Automation (ICRA2018)
Naoya Chiba and Koichi Hashimoto, "Ultra-Fast Multi-Scale Shape Estimation of Light Transport Matrix for Complex Light Reflection Objects", International Conference on Robotics and Automation (ICRA2018)
- Joshua, Hashimoto's paper was accepted by International Conference on Robotics and Automation (ICRA2018)
Joshua Owoyemi and Koichi Hashimoto, "Spatiotemporal Learning of Dynamic Gestures from Point Cloud Data", International Conference on Robotics and Automation (ICRA2018)
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