Tsubasa Hirakawa
Orcid: 0000-0003-3851-5221
According to our database1,
Tsubasa Hirakawa
authored at least 95 papers
between 2013 and 2024.
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Bibliography
2024
Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks.
Adv. Robotics, September, 2024
Challenges and implications of predicting the spatiotemporal distribution of dengue fever outbreak in Chinese Taiwan using remote sensing data and deep learning.
Geo spatial Inf. Sci., July, 2024
IEICE Trans. Inf. Syst., January, 2024
CoRR, 2024
IEEE Access, 2024
Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning.
IEEE Access, 2024
Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning.
Proceedings of the Computer Vision - ACCV 2024, 2024
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
IEICE Trans. Inf. Syst., March, 2023
Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers.
Adv. Robotics, February, 2023
Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module.
IEEE Trans. Intell. Veh., January, 2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query.
CoRR, 2023
IEEE Access, 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
2022
Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data.
IEICE Trans. Inf. Syst., September, 2022
CoRR, 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch.
CoRR, 2022
MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection.
Adv. Robotics, 2022
Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators.
Int. J. Digit. Earth, 2021
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition.
CoRR, 2021
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification.
CoRR, 2021
Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations.
Adv. Robotics, 2021
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021
Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021
2020
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network.
IEEE Robotics Autom. Lett., 2020
Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Proceedings of the 15th International Joint Conference on Computer Vision, 2020
Video Object Detection and Tracking based on Angle Consistency between Motion and Flow.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019
Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018
2017
IEEE Access, 2017
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
Domain Adaptation with L2 constraints for classifying images from different endoscope systems.
CoRR, 2016
CoRR, 2016
Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy.
CoRR, 2016
Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16].
Artif. Intell. Medicine, 2016
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition.
Artif. Intell. Medicine, 2016
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
2015
Trade-off between speed and performance for colorectal endoscopic NBI image classification.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013