ジャーナル論文 / Journal
  1. Uehara, K., and Harada, T., "Learning by Asking Questions for Knowledge-Based Novel Object Recognition", Int. J. Comput. Vis., 1–20, (2024).
  2. Kobayashi, K., Gu, L., Hataya, R., Mizuno, T., Miyake, M., Watanabe, H., Takahashi, M., Takamizawa, Y., Yoshida, Y., Nakamura, S., Kouno, N., Bolatkan, A., Kurose, Y., Harada, T., and Hamamoto, R., "Sketch-based semantic retrieval of medical images", Med. Image Anal. 92, 103060, (2024).
  3. Zhang, T., Fang, Y., Wang, L., Gu, L., and Tang, J., "Exosome and exosomal contents in schizophrenia", J. Psychiatr. Res. 163, 365–371, (2023).
  4. Zhang, D., Westfechtel, T., and Harada, T., "Unsupervised Domain Adaptation via Minimized Joint Error", Transactions on Machine Learning Research, (2023).
  5. Watanabe, Y., Miyazaki, Y., Hata, M., Fukuma, R., Aoki, Y., Kazui, H., Araki, T., Taomoto, D., Satake, Y., Suehiro, T., Sato, S., Kanemoto, H., Yoshiyama, K., Ishii, R., Harada, T., Kishima, H., Ikeda, M., and Yanagisawa, T., "A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study", Neural Netw. 171, 242–250, (2023).
  6. Ozaki, K., Kurose, Y., Kawai, K., Kobayashi, H., Itabashi, M., Hashiguchi, Y., Miura, T., Shiomi, A., Harada, T., and Ajioka, Y., "Development of a Diagnostic Artificial Intelligence Tool for Lateral Lymph Node Metastasis in Advanced Rectal Cancer", Dis. Colon Rectum 66(12), e1246–e1253, (2023).
  7. Osa, T., Osajima, N., Aizawa, M., and Harada, T., "Learning Adaptive Policies for Autonomous Excavation Under Various Soil Conditions by Adversarial Domain Sampling", IEEE Robot. Autom. Lett. 8(9), 5536–5543, (2023).
  8. Mukuta, Y., and Harada, T., "Invariant Feature Coding using Tensor Product Representation", Transactions on Machine Learning Research, (2023).
  9. Mori, Y., Yamane, H., Shimizu, R., Mukuta, Y., and Harada, T., "COMPASS: A creative support system that alerts novelists to the unnoticed missing contents", Comput. Speech Lang. 80, 101484, (2023).
  10. Manubens-Gil, L., Zhou, Z., Chen, H., Ramanathan, A., Liu, X., Liu, Y., Bria, A., Gillette, T., Ruan, Z., Yang, J., Radojević, M., Zhao, T., Cheng, L., Qu, L., Liu, S., Bouchard, K. E., Gu, L., Cai, W., Ji, S., Roysam, B., Wang, C., Yu, H., Sironi, A., Iascone, D. M., Zhou, J., Bas, E., Conde-Sousa, E., Aguiar, P., Li, X., Li, Y., Nanda, S., Wang, Y., Muresan, L., Fua, P., Ye, B., He, H., Staiger, J. F., Peter, M., Cox, D. N., Simonneau, M., Oberlaender, M., Jefferis, G., Ito, K., Gonzalez-Bellido, P., Kim, J., Rubel, E., Cline, H. T., Zeng, H., Nern, A., Chiang, A., Yao, J., Roskams, J., Livesey, R., Stevens, J., Liu, T., Dang, C., Guo, Y., Zhong, N., Tourassi, G., Hill, S., Hawrylycz, M., Koch, C., Meijering, E., Ascoli, G. A., and Peng, H., "BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets", Nat. Methods 20(6), 824–835, (2023).
  11. Li, Y., Li, S., Ju, H., Harada, T., Zhang, H., Duan, T., Wang, G., Zhang, L., Gu, L., and Zhou, W., "Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma", Pattern Recognit. 142, 109638, (2023).
  12. Hu, H., Xiong, S., Zhang, X., Liu, S., Gu, L., Zhu, Y., Xiang, D., and Skitmore, M., "The COVID-19 pandemic in various restriction policy scenarios based on the dynamic social contact rate † † In memory of our beloved colleague Dr. Yuantong Shen, who passed away from COVID-19. Thanks for his kind efforts for this paper.", Heliyon 9(3), e14533, (2023).
  13. He, J., Wei, Y., Li, J., Tang, Y., Liu, J., He, Z., Zhou, R., He, X., Ren, H., Liao, Y., Gu, L., Yuan, N., Chen, X., and Tang, J., "Sex differences in the association of treatment-resistant schizophrenia and serum interleukin-6 levels", BMC Psychiatry 23(1), 470, (2023).
  14. Zhou, L., Liu, Y., Zhang, P., Bai, X., Gu, L., Zhou, J., Yao, Y., Harada, T., Zheng, J., and Hancock, E., "Information bottleneck and selective noise supervision for zero-shot learning", Mach. Learn., 1–23, (2022).
  15. Wang, Y., Sun, Q., Liu, Z., and Gu, L., "Visual detection and tracking algorithms for minimally invasive surgical instruments: A comprehensive review of the state-of-the-art", Rob. Autom. Syst. 149, (2022).
  16. He, J., Ren, H., Li, J., Dong, M., Dai, L., Li, Z., Miao, Y., Li, Y., Tan, P., Gu, L., Chen, X., and Tang, J., "Deficits in Sense of Body Ownership, Sensory Processing, and Temporal Perception in Schizophrenia Patients With/Without Auditory Verbal Hallucinations", Front. Neurosci. 16, 831714, (2022).
  17. Hara, T., Mukuta, Y., and Harada, T., "Spherical Image Generation From a Few Normal-Field-of-View Images by Considering Scene Symmetry", IEEE Trans. Pattern Anal. Machine Intell. PP(99), 1–15, (2022).
  18. Guan, J., Lai, R., Lu, Y., Li, Y., Li, H., Feng, L., Yang, Y., and Gu, L., "Memory-Efficient Deformable Convolution Based Joint Denoising and Demosaicing for UHD Images", IEEE Trans. Circuits Syst. Video Technol. 32(11), 7346–7358, (2022).
  19. Guan, J., Lai, R., Li, H., Yang, Y., and Gu, L., "DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping", IEEE Trans. Neural Netw. Learn. Syst., (2022).
  20. Yang, B., Yeh, H., Harada, T., and Yuen, P. C., "Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation", IEEE Trans. Image Processing 31, 419–432, (2021).
  21. Yamane, H., Mori, Y., and Harada , T., "Humor meets morality: Joke generation based on moral judgement", Information Processing & Management 58(3), (2021).
  22. Xu, K., Lai, R., Gu, L., and Li, Y., "Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization", IEEE Transactions on Neural Networks and Learning Systems , (2021).
  23. Niu, Y., Gu, L., Zhao, Y., and Lu, F., "Explainable Diabetic Retinopathy Detection and Retinal Image Generation", IEEE Journal of Biomedical and Health Informatics , (2021).
  24. Kobayashi, K., Hataya, R., Kurose, Y., Miyake, M., Takahashi, M., Nakagawa, A., Harada, T., and Hamamoto, R., "Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging", Med. Image Anal. 74, (2021).
  25. Chen, Y., Pang, G., Bai, X., Liu, C., Xin, N., Gu, L., and Zhou, J., "Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss", IEEE Transactions on Multimedia , (2021).
国際会議 / Proceedings
  1. Zhang, J., Li, J., Huang, L., Yu, X., Gu, L., Zheng, J., and Bai, X., "Robust Synthetic-to-Real Transfer for Stereo Matching", Computer Vision and Pattern Recognition Conference (CVPR), (2024).
  2. Westfechtel, T., Yeh, H., Zhang, D., and Harada, T., "Gradual Source Domain Expansion for Unsupervised Domain Adaptation", Winter Conference on Applications of Computer Vision (WACV), (2024).
  3. Tanaka, K., Uehara, K., Gu, L., Mukuta, Y., and Harada, T., "Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought", In Findings of the Association for Computational Linguistics (NAACL Findings), (2024).
  4. Omura, M., Osa, T., Mukuta, Y., and Harada, T., "Symmetric Q-Learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning", 38th AAAI Conference on Artificial Intelligence, (2024).
  5. Li, J., Zhang, J., Bai, X., Zheng, J., Ning, X., Zhou, J., and Gu, L., "DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization", Computer Vision and Pattern Recognition Conference (CVPR), (2024).
  6. Cui, Z., Gu, L., Sun, X., Ma, X., Yu, Q., and Harada, T., "Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption", 38th AAAI Conference on Artificial Intelligence, (2024).
  7. Chen, L., Gu, L., and Fu, Y., "When Semantic Segmentation Meets Frequency Aliasing", International Conference on Learning Representations (ICLR), (2024).
  8. Chen, L., Gu, L., Zheng, D., and Fu, Y., "Adaptive Dilated Convolution from Frequency View", Computer Vision and Pattern Recognition Conference (CVPR), (2024).
  9. Ando, K., Sekine, S., and Komachi, M., "WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia", The 38th Annual AAAI Conference on Artificial Intelligence, (2024).
  10. Zhu, J., Gu, L., Wu, X., Li, Z., Harada, T., and Zhu , Y., "People taking photos that faces never share: Privacy Protection and Fairness Enhancement from Camera to User", AAAI Conference on Artificial Intelligence (AAAI), (2023).
  11. Yeh, H., Meng, Q., and Harada, T., "Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation", 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 00, 4315–4324, (2023).
  12. Xie, Y., Gu, L., Harada, T., Zhang, J., Xia, Y., and Wu, Q., "MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking", Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), (2023).
  13. Wu, Z., Li, Y., Huang, Y., Gu, L., Harada, T., and Sato, H., "3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation", The Eleventh International Conference on Learning Representations, (2023).
  14. Westfechtel1, T., Yeh, H., Meng, Q., Mukuta, Y., and Harada, T., "Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment", Winter Conference on Applications of Computer Vision (WACV) 2023, (2023).
  15. Wang, J., Wang, G., Zhang, X., Liu, L., Zeng, H., Xiao, L., Cao, Z., Gu, L., and Li, T., "PATCH : A Plug-in Framework of Non-blocking Inference for Distributed Multimodal System", Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 7(3), 1–24, (2023).
  16. Uehara, K., and Harada , T., "K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition", Winter Conference on Applications of Computer Vision (WACV), (2023).
  17. Takahama, S., Kurose, Y., Mukuta, Y., Abe, H., Yoshizawa, A., Ushiku, T., Fukayama, M., Kitagawa, M., Kitsuregawa, M., and Harada, T., "Domain Adaptive Multiple Instance Learning for Instance-Level Prediction of Pathological Images", 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 00, 1–5, (2023).
  18. Su, S., Gu, L., Yang, Y., Zhang, Z., and Harada, T., "Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer", 2023 IEEE/CVF International Conference on Computer Vision (ICCV) 00, 11987–11997, (2023).
  19. Shinya, Y., Yoneji, K., Tsukada, A., and Harada, T., "3D Lighter: Learning to Generate Emissive Textures", ACM SIGGRAPH Asia, (2023).
  20. Shiba, K., Mukuta, Y., and Harada, T., "Zero-shot Object Classification with Large-scale Knowledge Graph", 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 00, 4991–4998, (2023).
  21. Li, J., Zhang, J., Bai, X., Zhou, J., and Gu, L., "Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis", 2023 IEEE/CVF International Conference on Computer Vision (ICCV) 00, 7534–7544, (2023).
  22. Kobayashi, K., Gu, L., Hataya, R., Miyake, M., Takamizawa, Y., Ito, S., Watanabe, H., Yoshida, Y., Yoshimura, H., Harada, T., and Hamamoto, R., "Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing", Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 , (2023).
  23. Kawana, Y., and Harada, T., "Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), (2023).
  24. Ideno, A., Kaneko, T., and Harada, T., "Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion", International Conference On Multimodal Interaction, 292–300, (2023).
  25. Hu, X., Gu, L., An, Q., Zhang, M., Liu, L., Kobayashi, K., Harada, T., Summers, R. M., and Zhu, Y., "Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering", Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 4156–4165, (2023).
  26. Zhang, J., Wang, X., Bai, X., Wang, C., Huang, L., Chen, Y., Gu, L., Zhou, J., Harada, T., and Hancock, E. R., "Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective", 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 00, 12991–13001, (2022).
  27. Yeh, H., Westfechtel, T., Huang, J., and Harada, T., "Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature Alignment", 2022 26th International Conference on Pattern Recognition (ICPR) 00, 2857–2863, (2022).
  28. Yamane, H., Kurose, Y., Tejero-de-Pablos, A., Gu, L., Iho, J., Tokunaga, Y., Horie, M., Hayashi, Y., Nishizawa, K., Koyama, Y., and Harada, T., "Readmission Prediction for Heart Failure Patients Using Features Extracted From SS-MIX", 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS) 00, 1–5, (2022).
  29. Xu, T., and Harada, T., "Deforming Radiance Fields with Cages", European Conference on Computer Vision, (2022).
  30. Xu, K., Li, Y., Zhang, H., Lai, R., and Gu, L., "EtinyNet: Extremely Tiny Network for TinyML", AAAI Conference on Artificial Intelligence (AAAI), (2022).
  31. Uehara, K., Mori, Y., Mukuta, Y., and Harada, T., "ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer.", The 1st International Workshop on Multimodal Understanding for the Web and Social Media (WWW 2022, Workshop), 716–725, (2022).
  32. Uehara, K., Duan, N., and Harada, T., "Learning to Ask Informative Sub-Questions for Visual Question Answering.", CVPR Workshops, 4680–4689, (2022).
  33. Naruse, D., Takahata, T., Mukuta, Y., and Harada , T., "Pop Music Generation with Controllable Phrase Lengths", Pop Music Generation with Controllable Phrase Lengths, (2022).
  34. Mori, Y., Yamane, H., Shimizu, R., and Harada , T., "Plug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance", The First Workshop on Intelligent and Interactive Writing Assistants (In2Writing) (ACL 2022, Workshop), (2022).
  35. Liu, Y., Zhou, L., Zhang, P., Bai, X., Gu, L., Yu, X., Zhou, J., and Hancock, E. R., "Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification", European Conference on Computer Vision, (2022).
  36. Li, Z., Gu, L., Wang, W., Nakamura, R., and Sato, Y., "Surgical Skill Assessment via Video Semantic Aggregation", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), (2022).
  37. Li, Y., and Harada, T., "Lepard: Learning partial point cloud matching in rigid and deformable scenes.", Cvpr, 5544–5554, (2022).
  38. Li, Y., and Harada , T., "Non-rigid Point Cloud Registration with Neural Deformation Pyramid. Thirty-sixth Conference on Neural Information Processing Systems", Neural Information Processing Systems, (2022).
  39. Li, Y., Xu, K., Lai, R., and Gu, L., "Towards an Effective Orthogonal Dictionary Convolution Strategy", AAAI Conference on Artificial Intelligence (AAAI), (2022).
  40. Kawana, Y., Mukuta, Y., and Harada, T., "Unsupervised Pose-aware Part Decomposition for Man-Made Articulated Objects", European Conference on Computer Vision, (2022).
  41. Kamata, H., Mukuta, Y., and Harada , T., "Fully Spiking Variational Autoencoder", AAAI Conference on Artificial Intelligence (AAAI), (2022).
  42. Jung, B., Gu, L., and Harada, T., "Graph interaction for automated diagnosis of thoracic disease using x-ray images", Medical Imaging 2022: Image Processing 12032, 120320l-120320l-13, (2022).
  43. Cui, Z., Zhu, Y., Gu, L., Qi, G., Li, X., Zhang, R., Zhang, Z., and Harada, T., "Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection", European Conference on Computer Vision, (2022).
  44. Cui, Z., Li, K., Gu, L., Su, S., Gao, P., Jiang, Z., Qiao, Y., and Harada, T., "You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction", The British Machine Vision Conference, (2022).
  45. Wang, Y., Sun, Q., Sun, G., Gu, L., and Liu, Z., "Object Detection of Surgical Instruments Based on YOLOv4", IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) , (2021).
  46. Tejero-de-Pablos, A., Yamane, H., Kurose, Y., Iho, J., Tokunaga, Y., Horie, M., Nishizawa, K., Hayashi, Y., Koyama, Y., and Harada , T., "Beam Stack Search-Based Reconstruction Of Unhealthy Coronary Artery Wall Segmentations In CCTA-CPR Scans", IEEE International Symposium on Biomedical Imaging (ISBI), (2021).
  47. Sun, G., Wang, Y., Gu, L., and Liu, Z., "An Improved ICP Algorithm for Point Cloud Registration", IEEE International Conference on Advanced Robotics and Mechatronics, (2021).
  48. Mori, Y., Yamane, H., Mukuta, Y., and Harada , T., "The Nectar of Missing Position Prediction for Story Completion", Text2Story 2021 (ECIR 2021, Workshop), (2021).
  49. Liu, Y., Zhou, L., Bai, X., Huang, Y., Gu, L., Zhou, J., and Harada, T., "Goal-oriented gaze estimation for zero-shot learning", Computer Vision and Pattern Recognition, (2021).
  50. Kawai, W., Mukuta, Y., and Harada , T., "Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary", IEEE International Conference on Robotics and Automation (ICRA 2021), (2021).
  51. Kaneko, T., and Harada, T., "Blur, noise, and compression robust generative adversarial networks", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021).
  52. Huang, Y., Li, X., Yang, L., Gu, L., Zhu, Y., Seo, H., Meng, Q., Harada, T., and Sato, Y., "Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data", British Machine Vision Conference (BMVC), (2021).
  53. Cui, Z., Qi, G., Gu, L., You, S., Zhang, Z., and Harada, T., "Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection", International Conference on Computer Vision (ICCV 2021), (2021).
レビュー / Review
  1. Shao, X., Liao, Y., Gu, L., Chen, W., and Tang, J., "The Etiology of Auditory Hallucinations in Schizophrenia: From Multidimensional Levels", Front. Neurosci. 15, (2021).