Tsubasa Hirakawa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
42
Venues
18
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
42 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MVA | IG-ODAM: Instance-Aware Visual Explanations for Object Detection with Integrated Gradients. | Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2025 | VISIGRAPP | 2D Motion Generation Using Joint Spatial Information with 2CM-GPT. | Ryota Inoue, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2025 | VISIGRAPP | VLLM Guided Human-Like Guidance Navigation Generation. | Masaki Nambata, Tsubasa Hirakawa, Takayoshi Yamashita, Hirobobu Fujiyoshi, Takehito Teraguchi, Shota Okubo, Takuya Nanri |
| 2024 | ACCV | DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. | NguyenHuu BaoLong, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi |
| 2024 | ACCV | Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. | Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | CVPR | Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. | Yuki Hirohashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | CVPR | Potential Risk Localization via Weak Labeling out of Blind Spot. | Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | ECCV | Larval Hostplant Prediction from Luehdorfia japonica Image Using Multi-label ABN. | Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui, Masaya Yago |
| 2024 | ECCV | Layer-Wise Relevance Propagation with Conservation Property for ResNet. | Seitaro Otsuki, Tsumugi Iida, Flix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2024 | EDM | Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. | Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | ICIP | Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. | Ryota Kondo, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | VISIGRAPP | Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. | Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2024 | VISIGRAPP | Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. | Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | AIED | Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. | Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | BMVC | Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention. | Saki Noguchi, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | ICCE | Recommending Learning Actions Using Neural Network. | Hirokazu Kohama, Yuki Ban, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Akitoshi Itai, Hiroyasu Usami |
| 2023 | ICLR | This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. | Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | IJCNN | Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. | Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2023 | IJCNN | Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. | Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ACCV | Visual Explanation Generation Based on Lambda Attention Branch Networks. | Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2022 | ECCV | Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. | Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ICIP | Class-Wise FM-NMS for Knowledge Distillation of Object Detection. | Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | ICPR | Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. | Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2022 | IGARSS | Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan. | Anh Phan, Kiyoshi Takejima, Tsubasa Hirakawa, Hiromichi Fukui |
| 2022 | ICPR | Action Spotting in Soccer Videos Using Multiple Scene Encoders. | Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Bjrn Stenger |
| 2021 | ICIP | Semantic Segmentation And Change Detection By Multi-Task U-Net. | Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | IJCNN | Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. | Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura |
| 2021 | IROS | Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. | Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | MVA | Attention Mining Branch for Optimizing Attention Map. | Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2021 | MVA | Action Spotting and Temporal Attention Analysis in Soccer Videos. | Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Bjrn Stenger |
| 2021 | MVA | Relational Subgraph for Graph-based Path Prediction. | Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ACCV | Knowledge Transfer Graph for Deep Collaborative Learning. | Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ACCV | Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. | Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ICPR | Improving reliability of attention branch network by introducing uncertainty. | Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | ICRA | MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection. | Ryosuke Araki, Takeshi Onishi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2020 | IGARSS | Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network. | Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui |
| 2019 | CVPR | Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. | Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | PERCOM | Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. | Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi |
| 2019 | PERCOM | Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning. | Kanon Takemura, Tsubasa Hirakawa, Yuichi Mizutani, Hirokazu Suzuki, Michi Tsuruya, Ken Yoda |
| 2018 | HCI | Survey on Vision-Based Path Prediction. | Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi |
| 2016 | ACCV | Discriminative Subtree Selection for NBI Endoscopic Image Labeling. | Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka |
| 2013 | ICIP | Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. | Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka |