Kohta Ishikawa

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Neural Network Ensembles

Constant Velocity

Top Venues

Image Processing: Algorithms and Systems

IEEE Robotics Autom. Lett.

Publications

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)
Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota
Pixel-level Contrastive Learning of Driving Videos with Optical Flow. CVPR Workshops (2023)
Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
Informative Sample-Aware Proxy for Deep Metric Learning. CoRR (2022)
Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
Feature Space Particle Inference for Neural Network Ensembles. ICML (2022)
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 (2022)
Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato
Multi-task Curriculum Learning based on Gradient Similarity. BMVC (2022)
Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia (2022)
Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
Feature Space Particle Inference for Neural Network Ensembles. CoRR (2022)
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)
Akiyoshi Kurobe, Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito
CorsNet: 3D Point Cloud Registration by Deep Neural Network. IEEE Robotics Autom. Lett. 5 (3) (2020)
Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML (2019)
Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR (2019)
Yusuke Sekikawa, Kohta Ishikawa, Hideo Saito
Constant Velocity 3D Convolution. IEEE Access 6 (2018)
Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito
Constant Velocity 3D Convolution. 3DV (2018)
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)
Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai
Pairwise Rotation Hashing for High-dimensional Features. CoRR (2015)