Ikuro Sato

According to our database, Ikuro Sato authored at least 38 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2024

GUMBEL-NERF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields.

Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato

CoRR, 2024

Efficient Target Propagation by Deriving Analytical Solution.

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Empirical Study on Optimizer Selection for Out-of-Distribution Generalization.

Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas

Trans. Mach. Learn. Res., 2023

EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data.

Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array.

Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pixel-level Contrastive Learning of Driving Videos with Optical Flow.

Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning with Partial Forgetting in Modern Hopfield Networks.

Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Fixed-Weight Difference Target Propagation.

Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Informative Sample-Aware Proxy for Deep Metric Learning.

Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

Feature Space Particle Inference for Neural Network Ensembles.

Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami

Proceedings of the International Conference on Machine Learning, 2022

PoF: Post-Training of Feature Extractor for Improving Generalization.

Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami

Proceedings of the International Conference on Machine Learning, 2022

Implicit Neural Representations for Variable Length Human Motion Generation.

Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-task Curriculum Learning based on Gradient Similarity.

Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart?

Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka

Proceedings of the Image Processing: Algorithms and Systems XIX, 2021

Disentangling Latent Groups Of Factors.

Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Adversarial Transformations for Semi-Supervised Learning.

Teppei Suzuki, Ikuro Sato

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling.

Teppei Suzuki, Ikuro Sato

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Breaking Inter-Layer Co-Adaptation by Classifier Anonymization.

Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka

Proceedings of the 36th International Conference on Machine Learning, 2019

Generating Easy-to-Understand Referring Expressions for Target Identifications.

Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Towards Human-Friendly Referring Expression Generation.

Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada

CoRR, 2018

Canonical and Compact Point Cloud Representation for Shape Classification.

Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura

CoRR, 2018

Learning-Based Multiple-Path Prediction for Early Warning.

Ikuro Sato, Guoqing Liu

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Constant Velocity 3D Convolution.

Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

A recursive Algorithm for the <i>k</i>-face Numbers of Wythoffian-<i>n</i>-polytopes Constructed from Regular Polytopes.

Jin Akiyama, Sin Hitotumatu, Motonaga Ishii, Akihiro Matsuura, Ikuro Sato, Shun Toyoshima

J. Inf. Process., 2017

Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition.

Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining.

Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Fast Eigen Matching.

Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato

Proceedings of the British Machine Vision Conference 2016, 2016

Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers.

Yosuke Oyama, Akihiro Nomura, Ikuro Sato, Hiroki Nishimura, Yukimasa Tamatsu, Satoshi Matsuoka

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

APAC: Augmented PAttern Classification with Neural Networks.

Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi

CoRR, 2015

Pairwise Rotation Hashing for High-dimensional Features.

Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai

CoRR, 2015

2014

SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection.

Mitsuru Ambai, Ikuro Sato

Proceedings of the Computer Vision - ECCV 2014, 2014

Asymmetric Feature Representation for Object Recognition in Client Server System.

Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching.

Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi

IPSJ Trans. Comput. Vis. Appl., 2013

Sparse Isotropic Hashing.

Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki

IPSJ Trans. Comput. Vis. Appl., 2013

Tessellabilities, Reversibilities, and Decomposabilities of Polytopes - (A Survey).

Jin Akiyama, Ikuro Sato, Hyunwoo Seong

Proceedings of the Geometric Science of Information - First International Conference, 2013

2011

On Reversibility among Parallelohedra.

Jin Akiyama, Ikuro Sato, Hyunwoo Seong

Proceedings of the Computational Geometry - XIV Spanish Meeting on Computational Geometry, 2011

Crossing obstacle detection with a vehicle-mounted camera.

Ikuro Sato, Chiharu Yamano, Hirohiko Yanagawa

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010

Determination of All Tessellation Polyhedra with Regular Polygonal Faces.

Jin Akiyama, Takayasu Kuwata, Stefan Langerman, Kenji Okawa, Ikuro Sato, Geoffrey C. Shephard

Proceedings of the Computational Geometry, Graphs and Applications, 2010