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2020 – today
- 2023
[j3]Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. 2023 (2023)- [c8]Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota:
Pixel-level Contrastive Learning of Driving Videos with Optical Flow. CVPR Workshops 2023: 3180-3187 - 2022
- [c7]Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato:
Multi-task Curriculum Learning based on Gradient Similarity. BMVC 2022: 705 - [c6]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. ICML 2022: 25452-25468 - [c5]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia 2022: 4:1-4:11 - [i5]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. CoRR abs/2206.00944 (2022) - [i4]Hiroki Naganuma
, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas:
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR abs/2211.08583 (2022) - [i3]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. CoRR abs/2211.10382 (2022) - 2021
- [c4]Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka:
Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? Image Processing: Algorithms and Systems 2021 - 2020
- [j2]Akiyoshi Kurobe, Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito:
CorsNet: 3D Point Cloud Registration by Deep Neural Network. IEEE Robotics Autom. Lett. 5(3): 3960-3966 (2020)
2010 – 2019
- 2019
- [c3]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML 2019: 5619-5627 - [i2]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR abs/1906.01150 (2019) - 2018
- [j1]Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito:
Constant Velocity 3D Convolution. IEEE Access 6: 76490-76501 (2018) - [c2]Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito:
Constant Velocity 3D Convolution. 3DV 2018: 343-351 - 2015
- [c1]Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. ICCV 2015: 585-593 - [i1]Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai:
Pairwise Rotation Hashing for High-dimensional Features. CoRR abs/1501.07422 (2015)
Coauthor Index
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