Shoichiro Takeda

24 papers A* 8B 4Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models. AAAI Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Taiga Yamane, Naoki Makishima, Naotaka Kawata, Mana Ihori, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura
2025	J	`jnl`	Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models. CoRR Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Taiga Yamane, Naoki Makishima, Naotaka Kawata, Mana Ihori, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura
2025	A*	`conf`	Gromov-Wasserstein Problem with Cyclic Symmetry. CVPR Shoichiro Takeda, Yasunori Akagi
2025	J	`jnl`	IPCD: Intrinsic Point-Cloud Decomposition. CoRR Shogo Sato, Takuhiro Kaneko, Shoichiro Takeda, Tomoyasu Shimada, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi Tanida, Akisato Kimura
2025	A*	`conf`	Improving Putting Accuracy with Electrical Muscle Stimulation Feedback Guided by Muscle Synergy Analysis. CHI Arinobu Niijima, Shoichiro Takeda
2024	J	`jnl`	MMW-AQA: Multimodal In-the-Wild Dataset for Action Quality Assessment. IEEE Access Takasuke Nagai, Shoichiro Takeda, Satoshi Suzuki, Hitoshi Seshimo
2024	A*	`conf`	Optimal Transport with Cyclic Symmetry. AAAI Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa
2023	A*	`conf`	Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. ICCV Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
2023	J	`jnl`	Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. CoRR Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura
2023	J	`jnl`	CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn
2023	J	`jnl`	Distorted image classification using neural activation pattern matching loss. Neural Networks Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Yukihiro Bandoh, Hayaru Shouno
2023	J	`jnl`	Optimal Transport with Cyclic Symmetry. CoRR Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa
2022	A*	`conf`	Bilateral Video Magnification Filter. CVPR Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono
2022	J	`jnl`	Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World. IEEE Trans. Circuits Syst. Video Technol. Satoshi Suzuki, Shoichiro Takeda, Motohiro Takagi, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno
2022	J	`jnl`	Knowledge Transferred Fine-Tuning: Convolutional Neural Network Is Born Again With Anti-Aliasing Even in Data-Limited Situations. IEEE Access Satoshi Suzuki, Shoichiro Takeda, Naoki Makishima, Atsushi Ando, Ryo Masumura, Hayaru Shouno
2021	B	`conf`	Action Quality Assessment With Ignoring Scene Context. ICIP Takasuke Nagai, Shoichiro Takeda, Masaaki Matsumura, Shinya Shimizu, Susumu Yamamoto
2021	B	`conf`	Image Enhanced Rotation Prediction for Self-Supervised Learning. ICIP Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
2021	B	`conf`	Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. ICIP Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno
2020	B	`conf`	Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence. ICIP Satoshi Suzuki, Motohiro Takagi, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata
2020	—	`conf`	Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis. EUSIPCO Shoichiro Takeda, Kenta Niwa, Shinya Shimizu
2020	J	`jnl`	Local Riesz Pyramid for Faster Phase-Based Video Magnification. IEICE Trans. Inf. Syst. Shoichiro Takeda, Megumi Isogai, Shinya Shimizu, Hideaki Kimata
2019	J	`jnl`	Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations. CoRR Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda
2019	A*	`conf`	Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution. CVPR Shoichiro Takeda, Yasunori Akagi, Kazuki Okami, Megumi Isogai, Hideaki Kimata
2018	A*	`conf`	Jerk-Aware Video Acceleration Magnification. CVPR Shoichiro Takeda, Kazuki Okami, Dan Mikami, Megumi Isogai, Hideaki Kimata