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Ikuro Sato
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2020 – today
- 2024
- [c29]Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue:
Efficient Target Propagation by Deriving Analytical Solution. AAAI 2024: 11016-11023 - 2023
- [j6]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) - [c28]Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato:
Fixed-Weight Difference Target Propagation. AAAI 2023: 9811-9819 - [c27]Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue:
Learning with Partial Forgetting in Modern Hopfield Networks. AISTATS 2023: 6661-6673 - [c26]Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki:
Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. CVPR Workshops 2023: 2566-2574 - [c25]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 - [c24]Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda:
EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data. MMM (1) 2023: 373-384 - 2022
- [c23]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 - [c22]Pablo Cervantes
, Yusuke Sekikawa
, Ikuro Sato
, Koichi Shinoda
:
Implicit Neural Representations for Variable Length Human Motion Generation. ECCV (17) 2022: 356-372 - [c21]Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami:
PoF: Post-Training of Feature Extractor for Improving Generalization. ICML 2022: 19221-19230 - [c20]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. ICML 2022: 25452-25468 - [c19]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia 2022: 4:1-4:11 - [i13]Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda:
Implicit Neural Representations for Variable Length Human Motion Generation. CoRR abs/2203.13694 (2022) - [i12]Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami:
Feature Space Particle Inference for Neural Network Ensembles. CoRR abs/2206.00944 (2022) - [i11]Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami:
PoF: Post-Training of Feature Extractor for Improving Generalization. CoRR abs/2207.01847 (2022) - [i10]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) - [i9]Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota:
Informative Sample-Aware Proxy for Deep Metric Learning. CoRR abs/2211.10382 (2022) - [i8]Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato:
Fixed-Weight Difference Target Propagation. CoRR abs/2212.10352 (2022) - 2021
- [c18]Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato:
Disentangling Latent Groups Of Factors. ICIP 2021: 2548-2552 - [c17]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
- [c16]Teppei Suzuki, Ikuro Sato:
Adversarial Transformations for Semi-Supervised Learning. AAAI 2020: 5916-5923
2010 – 2019
- 2019
- [c15]Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku
, Tatsuya Harada:
Generating Easy-to-Understand Referring Expressions for Target Identifications. ICCV 2019: 5793-5802 - [c14]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML 2019: 5619-5627 - [c13]Teppei Suzuki, Ikuro Sato:
A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling. IV 2019: 2208-2214 - [i7]Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka:
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR abs/1906.01150 (2019) - [i6]Teppei Suzuki, Ikuro Sato:
Adversarial Transformations for Semi-Supervised Learning. CoRR abs/1911.06181 (2019) - 2018
- [c12]Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito:
Constant Velocity 3D Convolution. 3DV 2018: 343-351 - [c11]Ikuro Sato, Guoqing Liu:
Learning-Based Multiple-Path Prediction for Early Warning. Intelligent Vehicles Symposium 2018: 916-921 - [i5]Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura:
Canonical and Compact Point Cloud Representation for Shape Classification. CoRR abs/1809.04820 (2018) - [i4]Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada:
Towards Human-Friendly Referring Expression Generation. CoRR abs/1811.12104 (2018) - 2017
- [j5]Jin Akiyama, Sin Hitotumatu, Motonaga Ishii, Akihiro Matsuura, Ikuro Sato, Shun Toyoshima:
A recursive Algorithm for the k-face Numbers of Wythoffian-n-polytopes Constructed from Regular Polytopes. J. Inf. Process. 25: 528-536 (2017) - [c10]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. ICCV Workshops 2017: 1095-1102 - [c9]Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura
, Satoshi Matsuoka:
Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. ICONIP (2) 2017: 305-314 - [i3]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-decomposed DCNN for accelerating computation and compressing model without retraining. CoRR abs/1709.04731 (2017) - 2016
- [c8]Yosuke Oyama, Akihiro Nomura
, Ikuro Sato, Hiroki Nishimura, Yukimasa Tamatsu, Satoshi Matsuoka:
Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers. IEEE BigData 2016: 66-75 - [c7]Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato:
Fast Eigen Matching. BMVC 2016 - 2015
- [i2]Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai:
Pairwise Rotation Hashing for High-dimensional Features. CoRR abs/1501.07422 (2015) - [i1]Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi:
APAC: Augmented PAttern Classification with Neural Networks. CoRR abs/1505.03229 (2015) - 2014
- [c6]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita:
Asymmetric Feature Representation for Object Recognition in Client Server System. ACCV (1) 2014: 598-612 - [c5]Mitsuru Ambai, Ikuro Sato:
SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection. ECCV (5) 2014: 267-281 - 2013
- [j4]Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki:
Sparse Isotropic Hashing. Inf. Media Technol. 8(4): 1031-1035 (2013) - [j3]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. Inf. Media Technol. 8(4): 1110-1114 (2013) - [j2]Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki:
Sparse Isotropic Hashing. IPSJ Trans. Comput. Vis. Appl. 5: 40-44 (2013) - [j1]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. IPSJ Trans. Comput. Vis. Appl. 5: 124-128 (2013) - [c4]Jin Akiyama, Ikuro Sato, Hyunwoo Seong:
Tessellabilities, Reversibilities, and Decomposabilities of Polytopes - (A Survey). GSI 2013: 215-223 - 2011
- [c3]Ikuro Sato, Chiharu Yamano, Hirohiko Yanagawa:
Crossing obstacle detection with a vehicle-mounted camera. Intelligent Vehicles Symposium 2011: 60-65 - [c2]Jin Akiyama, Ikuro Sato, Hyunwoo Seong:
On Reversibility among Parallelohedra. EGC 2011: 14-28 - 2010
- [c1]Jin Akiyama, Takayasu Kuwata, Stefan Langerman
, Kenji Okawa, Ikuro Sato, Geoffrey C. Shephard:
Determination of All Tessellation Polyhedra with Regular Polygonal Faces. CGGA 2010: 1-11
Coauthor Index
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last updated on 2024-09-02 00:11 CEST by the dblp team
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