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Hajime Nagahara

Showing results (1-10 of 33) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|April 13, 2021
Surface Normals and Light Directions From Shading and PolarizationTrung Thanh Ngo, Hajime Nagahara, Rin-Ichiro Taniguchi
Journal of Imaging|September 27, 2024
Unleashing the Power of Contrastive Learning for Zero-Shot Video SummarizationZongshang Pang, Yuta Nakashima, Mayu Otani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2010
Flexible depth of field photographySujit Kuthirummal, Hajime Nagahara, Changyin Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 4, 2022
Action Recognition From a Single Coded ImageSudhakar Kumawat, Tadashi Okawara, Michitaka Yoshida, et al.
European Journal of Orthodontics|January 20, 2022
The validation of orthodontic artificial intelligence systems that perform orthodontic diagnoses and treatment planningYuujin Shimizu, Chihiro Tanikawa, Tomoyuki Kajiwara, et al.
BMC Medical Informatics and Decision Making|May 4, 2023
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memoryBowen Wang, Liangzhi Li, Yuta Nakashima, et al.
BMJ Open|October 9, 2024
Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study designYiming Qian, Liangzhi Li, Yuta Nakashima, et al.
PLOS Digital Health|February 22, 2023
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist's diagnostic process of arteriolosclerosisLiangzhi Li, Manisha Verma, Bowen Wang, et al.
Journal of Imaging|July 25, 2025
E-InMeMo: Enhanced Prompting for Visual In-Context LearningJiahao Zhang, Bowen Wang, Hong Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Impact of Experimental Design in Age Prediction from Retinal Fundus Images<sup></sup>Jovana Panic, Atsushi Watanabe, Hideaki Hayashi, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 13, 2021
Surface Normals and Light Directions From Shading and PolarizationTrung Thanh Ngo, Hajime Nagahara, Rin-Ichiro Taniguchi
Journal of Imaging|September 27, 2024
Unleashing the Power of Contrastive Learning for Zero-Shot Video SummarizationZongshang Pang, Yuta Nakashima, Mayu Otani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 20, 2010
Flexible depth of field photographySujit Kuthirummal, Hajime Nagahara, Changyin Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 4, 2022
Action Recognition From a Single Coded ImageSudhakar Kumawat, Tadashi Okawara, Michitaka Yoshida, et al.
European Journal of Orthodontics|January 20, 2022
The validation of orthodontic artificial intelligence systems that perform orthodontic diagnoses and treatment planningYuujin Shimizu, Chihiro Tanikawa, Tomoyuki Kajiwara, et al.
BMC Medical Informatics and Decision Making|May 4, 2023
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memoryBowen Wang, Liangzhi Li, Yuta Nakashima, et al.
BMJ Open|October 9, 2024
Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study designYiming Qian, Liangzhi Li, Yuta Nakashima, et al.
PLOS Digital Health|February 22, 2023
Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist's diagnostic process of arteriolosclerosisLiangzhi Li, Manisha Verma, Bowen Wang, et al.
Journal of Imaging|July 25, 2025
E-InMeMo: Enhanced Prompting for Visual In-Context LearningJiahao Zhang, Bowen Wang, Hong Liu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Impact of Experimental Design in Age Prediction from Retinal Fundus Images<sup></sup>Jovana Panic, Atsushi Watanabe, Hideaki Hayashi, et al.
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