Profile - Kazutoshi Akita
Kazutoshi Akita is a Ph.D student at the Toyota Technological Institute, Japan (TTI-J), under the supervision of Prof. Norimichi Ukita in Intelligent Infomation Media. He recieved the B.E. and M.E. degrees in TTI-J.
Research Area
Computer Vision, Machine Learning, Object Detection, Super Resolution
Publications
Conference
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AVM Image Quality Enhancement by Synthetic Image Learning for Supervised Deblurring
K.Akita, M.Hayama, H. Kyutoku, N. Ukita, 17th International Conference on Machine Vision Applications (MVA) 2021. -
Distant Bird Detection for Safe Drone Flight and its Dataset S.Fujii, K.Akita, N.Ukita, 17th International Conference on Machine Vision Applications (MVA) 2021.
- You can access our dataset here
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Region-dependent Scale Proposals for Super-Resolution in Object Detection
K.Akita, M.Haris, N.Ukita, Fourth IEEE International Conference on Image Processing, Applications and Systems (IPAS) 2020.
Others
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NTIRE 2021 challenge on burst super-resolution: Methods and results
S.Bhat, et al., Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021. -
AIM 2020 Challenge on Video Temporal Super-Resolution
S.Sanghyum et al., European Conference on Computer Vision (ECCV) Workshops 2020. -
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
F.Dario, et al., European Conference on Computer Vision (ECCV) Workshops 2020. -
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Z.Kai, et al., Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020. -
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Resulds
S.Gu, et al., International Conference on Computer Vision (ICCV) Workshops 2019. -
The 2018 PIRM Challenge on Perceptual Image Super-Resolution
Y.Blau et al., European Conference on Computer Vision (ECCV) Workshops 2018.