Ikuro Sato

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Metric Learning

Referring Expressions

Neural Network Ensembles

Top Venues

Publications

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue
Efficient Target Propagation by Deriving Analytical Solution. AAAI (2024)
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)
Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue
Learning with Partial Forgetting in Modern Hopfield Networks. AISTATS (2023)
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)
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)
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
Fixed-Weight Difference Target Propagation. AAAI (2023)
Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
PoF: Post-Training of Feature Extractor for Improving Generalization. CoRR (2022)
Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
Informative Sample-Aware Proxy for Deep Metric Learning. CoRR (2022)
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
Fixed-Weight Difference Target Propagation. 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)
Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
PoF: Post-Training of Feature Extractor for Improving Generalization. ICML (2022)
Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
Implicit Neural Representations for Variable Length Human Motion Generation. ECCV (17) (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)
Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
Implicit Neural Representations for Variable Length Human Motion Generation. CoRR (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)
Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato
Disentangling Latent Groups Of Factors. ICIP (2021)
Teppei Suzuki, Ikuro Sato
Adversarial Transformations for Semi-Supervised Learning. AAAI (2020)
Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML (2019)
Teppei Suzuki, Ikuro Sato
A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling. IV (2019)
Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR (2019)
Teppei Suzuki, Ikuro Sato
Adversarial Transformations for Semi-Supervised Learning. CoRR (2019)
Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada
Generating Easy-to-Understand Referring Expressions for Target Identifications. ICCV (2019)
Ikuro Sato, Guoqing Liu
Learning-Based Multiple-Path Prediction for Early Warning. Intelligent Vehicles Symposium (2018)
Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada
Towards Human-Friendly Referring Expression Generation. CoRR (2018)
Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura
Canonical and Compact Point Cloud Representation for Shape Classification. CoRR (2018)
Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito
Constant Velocity 3D Convolution. 3DV (2018)
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)
Jin Akiyama, Sin Hitotumatu, Motonaga Ishii, Akihiro Matsuura, Ikuro Sato, Shun Toyoshima
-polytopes Constructed from Regular Polytopes. J. Inf. Process. 25 (2017)
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)
Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi
Binary-decomposed DCNN for accelerating computation and compressing model without retraining. CoRR (2017)
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)
Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato
Fast Eigen Matching. BMVC (2016)
Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi
APAC: Augmented PAttern Classification with Neural Networks. CoRR (2015)
Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai
Pairwise Rotation Hashing for High-dimensional Features. CoRR (2015)
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)
Mitsuru Ambai, Ikuro Sato
SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection. ECCV (5) (2014)
Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki
Sparse Isotropic Hashing. Inf. Media Technol. 8 (4) (2013)
Jin Akiyama, Ikuro Sato, Hyunwoo Seong
Tessellabilities, Reversibilities, and Decomposabilities of Polytopes - (A Survey). GSI (2013)
Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki
Sparse Isotropic Hashing. IPSJ Trans. Comput. Vis. Appl. 5 (2013)
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) (2013)
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 (2013)
Ikuro Sato, Chiharu Yamano, Hirohiko Yanagawa
Crossing obstacle detection with a vehicle-mounted camera. Intelligent Vehicles Symposium (2011)
Jin Akiyama, Ikuro Sato, Hyunwoo Seong
On Reversibility among Parallelohedra. EGC (2011)
Jin Akiyama, Takayasu Kuwata, Stefan Langerman, Kenji Okawa, Ikuro Sato, Geoffrey C. Shephard
Determination of All Tessellation Polyhedra with Regular Polygonal Faces. CGGA (2010)