Ikuro Sato - RankMe

61 papers A* 8A 3B 4C 1Misc 1Journal 25Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Takeuchi's Information Criteria as Generalization Measures for DNNs Close to NTK Regime. CoRR Hiroki Naganuma, Taiji Suzuki, Rio Yokota, Masahiro Nomura, Kohta Ishikawa, Ikuro Sato
2025	Misc	`conf`	Binary Stochastic Flip Optimization for Training Binary Neural Networks. ICASSP Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2025	—	`conf`	CST: Character State Transformer for Object-Conditioned Human Motion Prediction. WACV (Workshops) Kuan-Wei Tseng, Rei Kawakami, Satoshi Ikehata, Ikuro Sato
2025	J	`jnl`	Integrating Generative and Contrastive Approaches for Human Action Recognition. IEEE Access Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
2025	J	`jnl`	Masked Gated Linear Unit. CoRR Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa, Ikuro Sato, Rio Yokota
2025	J	`jnl`	PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups. CoRR Sakuya Ota, Qing Yu, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato
2025	A*	`conf`	Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. AAAI Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato
2025	J	`jnl`	Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. CoRR Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato
2024	—	`conf`	A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients. ACCV (8) Mao Tomita, Ikuro Sato, Rei Kawakami, Nakamasa Inoue, Satoshi Ikehata, Masayuki Tanaka
2024	A*	`conf`	Efficient Target Propagation by Deriving Analytical Solution. AAAI Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue
2024	J	`jnl`	GUMBEL-NERF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields. CoRR Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato
2024	B	`conf`	Gumbel-NeRF: Representing Unseen Objects as Part-Compositional Neural Radiance Fields. ICIP Yusuke Sekikawa, Chingwei Hsu, Satoshi Ikehata, Rei Kawakami, Ikuro Sato
2024	—	`conf`	Learning Non-uniform Step Sizes for Neural Network Quantization. ACCV (8) Shinya Gongyo, Jinrong Liang, Mitsuru Ambai, Rei Kawakami, Ikuro Sato
2024	—	`conf`	Transferring Teacher's Invariance to Student Through Data Augmentation Optimization. ICONIP (7) Tamotsu Kurioka, Teppei Suzuki, Rei Kawakami, Ikuro Sato
2023	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. Trans. Mach. Learn. Res. Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2023	—	`conf`	EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor Data. MMM (1) Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda
2023	A*	`conf`	Fixed-Weight Difference Target Propagation. AAAI Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2023	A	`conf`	Learning with Partial Forgetting in Modern Hopfield Networks. AISTATS Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue
2023	—	`conf`	Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. CVPR Workshops Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki
2023	—	`conf`	Pixel-level Contrastive Learning of Driving Videos with Optical Flow. CVPR Workshops Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota
2022	J	`jnl`	Empirical Study on Optimizer Selection for Out-of-Distribution Generalization. CoRR Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas
2022	A*	`conf`	Feature Space Particle Inference for Neural Network Ensembles. ICML Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
2022	J	`jnl`	Feature Space Particle Inference for Neural Network Ensembles. CoRR Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami
2022	J	`jnl`	Fixed-Weight Difference Target Propagation. CoRR Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2022	—	`conf`	Implicit Neural Representations for Variable Length Human Motion Generation. ECCV (17) Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
2022	J	`jnl`	Implicit Neural Representations for Variable Length Human Motion Generation. CoRR Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda
2022	—	`conf`	Informative Sample-Aware Proxy for Deep Metric Learning. MMAsia Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
2022	J	`jnl`	Informative Sample-Aware Proxy for Deep Metric Learning. CoRR Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota
2022	A	`conf`	Multi-task Curriculum Learning based on Gradient Similarity. BMVC Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato
2022	A*	`conf`	PoF: Post-Training of Feature Extractor for Improving Generalization. ICML Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
2022	J	`jnl`	PoF: Post-Training of Feature Extractor for Improving Generalization. CoRR Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
2021	B	`conf`	Disentangling Latent Groups Of Factors. ICIP Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato
2021	—	`conf`	Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart? Image Processing: Algorithms and Systems Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka
2020	A*	`conf`	Adversarial Transformations for Semi-Supervised Learning. AAAI Teppei Suzuki, Ikuro Sato
2019	C	`conf`	A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling. IV Teppei Suzuki, Ikuro Sato
2019	J	`jnl`	Adversarial Transformations for Semi-Supervised Learning. CoRR Teppei Suzuki, Ikuro Sato
2019	A*	`conf`	Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. ICML Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
2019	J	`jnl`	Breaking Inter-Layer Co-Adaptation by Classifier Anonymization. CoRR Ikuro Sato, Kohta Ishikawa, Guoqing Liu, Masayuki Tanaka
2019	A*	`conf`	Generating Easy-to-Understand Referring Expressions for Target Identifications. ICCV Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada
2018	J	`jnl`	Canonical and Compact Point Cloud Representation for Shape Classification. CoRR Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura
2018	—	`conf`	Constant Velocity 3D Convolution. 3DV Yusuke Sekikawa, Kohta Ishikawa, Kosuke Hara, Yuichi Yoshida, Koichiro Suzuki, Ikuro Sato, Hideo Saito
2018	B	`conf`	Learning-Based Multiple-Path Prediction for Early Warning. Intelligent Vehicles Symposium Ikuro Sato, Guoqing Liu
2018	J	`jnl`	Towards Human-Friendly Referring Expression Generation. CoRR Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada
2017	J	`jnl`	A recursive Algorithm for the J. Inf. Process. Jin Akiyama, Sin Hitotumatu, Motonaga Ishii, Akihiro Matsuura, Ikuro Sato, Shun Toyoshima
2017	—	`conf`	Asynchronous, Data-Parallel Deep Convolutional Neural Network Training with Linear Prediction Model for Parameter Transition. ICONIP (2) Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka
2017	—	`conf`	Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. ICCV Workshops Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi
2017	J	`jnl`	Binary-decomposed DCNN for accelerating computation and compressing model without retraining. CoRR Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi
2016	A	`conf`	Fast Eigen Matching. BMVC Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato
2016	—	`conf`	Predicting statistics of asynchronous SGD parameters for a large-scale distributed deep learning system on GPU supercomputers. IEEE BigData Yosuke Oyama, Akihiro Nomura, Ikuro Sato, Hiroki Nishimura, Yukimasa Tamatsu, Satoshi Matsuoka
2015	J	`jnl`	APAC: Augmented PAttern Classification with Neural Networks. CoRR Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi
2015	J	`jnl`	Pairwise Rotation Hashing for High-dimensional Features. CoRR Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai
2014	—	`conf`	Asymmetric Feature Representation for Object Recognition in Client Server System. ACCV (1) Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita
2014	—	`conf`	SPADE: Scalar Product Accelerator by Integer Decomposition for Object Detection. ECCV (5) Mitsuru Ambai, Ikuro Sato
2013	J	`jnl`	Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. Inf. Media Technol. Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi
2013	J	`jnl`	Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. IPSJ Trans. Comput. Vis. Appl. Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi
2013	J	`jnl`	Sparse Isotropic Hashing. Inf. Media Technol. Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki
2013	J	`jnl`	Sparse Isotropic Hashing. IPSJ Trans. Comput. Vis. Appl. Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki
2013	—	`conf`	Tessellabilities, Reversibilities, and Decomposabilities of Polytopes - (A Survey). GSI Jin Akiyama, Ikuro Sato, Hyunwoo Seong
2011	B	`conf`	Crossing obstacle detection with a vehicle-mounted camera. Intelligent Vehicles Symposium Ikuro Sato, Chiharu Yamano, Hirohiko Yanagawa
2011	—	`conf`	On Reversibility among Parallelohedra. EGC Jin Akiyama, Ikuro Sato, Hyunwoo Seong
2010	—	`conf`	Determination of All Tessellation Polyhedra with Regular Polygonal Faces. CGGA Jin Akiyama, Takayasu Kuwata, Stefan Langerman, Kenji Okawa, Ikuro Sato, Geoffrey C. Shephard