Tatsuya Harada Tatsuya Harada Doctor of Engineering, Professor Research Center for Advanced Science and Technology The University of Tokyo Group director at RIKEN AIP Vice director of Research Center for Medical Bigdata at National Institute of Informatics (NII), Japan Japanese page is here.

Tatsuya Harada

Tatsuya Harada
Doctor of Engineering, Professor

Research Center for Advanced Science and Technology
The University of Tokyo

Group director at RIKEN AIP

Vice director of Research Center for Medical Bigdata at National Institute of Informatics (NII), Japan

Japanese page is here.

News

June. 20, 2026. Four papers have been accepted for publication in ECCV 2026.
May. 1, 2026. One paper has been accepted for publication in ICML 2026.
Jan. 26, 2026. Three papers have been accepted for publication in ICLR 2026.
Sept. 19, 2025. Three papers have been accepted for publication in NeurIPS 2025.
May 1, 2025. One paper has been accepted for publication in ICML 2025.
Feb. 27, 2025. Two papers have been accepted for publication in CVPR 2025.
Jan. 23, 2025. One paper has been accepted for publication in ICLR 2025.
Sept. 26, 2024. One paper has been accepted for publication in NeurIPS 2024.
July 1, 2024. Three papers have been accepted for publication in ECCV 2024.
May 2, 2024. One paper has been accepted for publication in ICML 2024.
Mar. 14, 2024. One paper has been accepted for publication in NAACL 2024.
Jan. 17, 2024. One paper has been accepted for publication in ICLR 2024.
Dec. 16, 2023. Our paper has been accepted for publication in IJCV.
Dec. 9, 2023. Two papers have been accepted for publication in AAAI 2024.
Sep. 22, 2023. One paper has been accepted for publication in NeurIPS 2023.
July. 14, 2023. One paper has been accepted (1 oral) for publication in ICCV 2023.
Sep. 15, 2022. One paper has been accepted for publication in NeurIPS 2022.
July. 4, 2022. Four papers have been accepted for publication in ECCV 2022.
Mar. 3, 2022. Three papers have been accepted for publication in CVPR 2022.
Dec. 1, 2021. One paper has been accepted for publication in AAAI 2022.
July. 23, 2021. Two papers have been accepted for publication in ICCV 2021.
Mar. 4, 2021. Two papers have been accepted for publication in CVPR 2021.
Feb. 28, 2021. Two papers have been accepted for publication in ICRA 2021.
Jan. 13, 2021. One paper has been accepted for publication in ICLR 2021.
Dec. 2, 2020. One paper has been accepted for publication in AAAI 2021.
Sep. 26, 2020. One paper has been accepted for publication in NeurIPS 2020.
July. 3, 2020. One paper has been accepted (1 spotlight) for publication in ECCV 2020.
Feb. 24, 2020. Two papers have been accepted (1 oral, 1 poster) for publication in CVPR 2020.
Dec. 20, 2019. One paper has been accepted for publication in ICLR 2020.
Nov. 11, 2019. One paper has been accepted for publication in AAAI 2020.
July 23, 2019. Three papers have been accepted for publication in ICCV 2019.
Feb. 25, 2019. Five papers have been accepted (3 orals, 2 posters) for publication in CVPR 2019.
Jul. 3, 2018. Two papers have been accepted for publication in ECCV 2018.
Feb. 19, 2018. Five papers have been accepted (1 oral, 3 spotlights, 1 poster) for publication in CVPR 2018.
Jan. 31, 2018. Two papers have been accepted for publication in ICLR 2018.
Oct. 26, 2017. We got Honorable Mention Open source software Award 2017 for WebDNN at ACM Multimedia 2017.
July 17, 2017. Our paper has been accepted for publication in ICCV 2017.
May 28, 2017. We have released WebDNN which executes DNN on a modern browser without installing any software.
May 25, 2017. My textbook "image recognition (in Japanese)" has been published.
May 13, 2017. Our paper has been accepted for publication in ICML 2017.
June 26, 2016. We win the VQA challenge (Abstract Scenes) at CVPR 2016, Las Vegas, USA.
March 5, 2016. Three papers have been accepted for publication in CVPR 2016.
Dec. 10, 2015. Third place in Object Detection (DET) with "external" data, ImageNet Large Scale Visual Recognition Challenge 2015 (ILSVRC2015)
Sep. 3, 2015. Our paper has been accepted for publication in ICCV 2015.
April 13, 2014. Our paper has been accepted for publication in ICML 2014.
Feb. 25, 2014. Two papers have been accepted for publication in CVPR 2014.

Projects

Visual recognition
Machine learning
Multimedia learning (vision, natural language, sound, etc.)
Causality
Intelligent robot

Teaching

May 31, 2017. Special Topics in Mechano‐Informatics II[pdf]

Publications

2026
- Shuhong Liu, Xining Ge, Ziying Gu, Quanfeng Xu, Ziteng Cui, Lin Gu, Xuangeng Chu, Jun Liu, Dong Li, Tatsuya Harada. Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging. The 19th European Conference on Computer Vision (ECCV), accepted, 2026.
- Akio Hayakawa, Yusuke Mukuta, Tatsuya Harada. Linear Fusion MultiDiffusion for Fast Training-Free Spherical Panorama Generation. The 19th European Conference on Computer Vision (ECCV), accepted, 2026.
- Dexuan Zhang, Qianyu Zhou, Thomas Westfechtel, Yusuke Mukuta, Tatsuya Harada. Bridging Theory and Practice in Source-Free Domain Adaptation via Adversarial Proxy Perturbation. The 19th European Conference on Computer Vision (ECCV), accepted, 2026.
- Ryo Umagami, Tomohiro Hashimoto, Xuangeng Chu, Ziteng Cui, Yusuke Mukuta, Jia Deng, Tatsuya Harada. TriSplat: Adaptive Triplane for Sparse-View Large-Scale Scene Reconstruction. The 19th European Conference on Computer Vision (ECCV), accepted, 2026.
- Ziteng Cui, Jianfei Yang, Tatsuya Harada. RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark. Transactions on Pattern Analysis and Machine Intelligence, accepted, 2026.
- Ruan Yizhe, Yusuke Kurose, Junichi Iho, Yoji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama, Tatsuya Harada. Contrastive VQ Priors for Multi-Class Plaque Segmentation via SAM Adaptation. Transactions on Machine Learning Research (TMLR), accepted, 2026.
- Tanachai Anakewat, Takayuki Osa, Tatsuya Harada. Learning Hierarchical Skill Policies with Offline Quality-Diversity Reinforcement Learning. 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2026.
- Jen-Yen Chang, Takayuki Osa, Tatsuya Harada. Learning the Supports for Categorical Critic in Reinforcement Learning. Reinforcement Learning Conference (RLC), accepted, 2026.
- Kazuki Ota, Takayuki Osa, Motoki Omura, Tatsuya Harada. Revisiting Regularized Policy Optimization for Stable and Efficient Reinforcement Learning in Two-Player Games. Forty-third International Conference on Machine Learning (ICML), accepted, 2026.
- Zhongyi Zhou, Kohei Uehara, Haoyu Zhang, Jingtao Zhou, Lin Gu, Ruofei Du, Zheng Xu, Tatsuya Harada. ToolGrad: Efficient Tool-use Dataset Generation with Textual “Gradients”. The 64th Annual Meeting of the Association for Computational Linguistics (ACL), accepted, 2026. (Findings)
- Nabarun Goswami, Tatsuya Harada. Hybrid Speech Enhancement With Discriminative and Codec Token Prediction Models Guided by Cleaned SSL Features for the ICASSP 2026 Urgent Challenge. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), accepted, 2026.
- Toshiki Katsube, Taiga Fukuhara, Kenichiro Ando, Yusuke Mukuta, Kohei Uehara, Tatsuya Harada. DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering. LREC 2026, accepted, 2026.
- Yasuhiro Kato, Thomas Westfechtel, Jen-Yen Chang, Naoki Morihira, Akinobu Hayashi, Tatsuya Harada, Takayuki Osa. Unsupervised Domain Adaptation for Robust Imitation Learning under Visual Perturbations. IEEE International Conference on Robotics and Automation (ICRA), accepted, 2026.
- Haruki Abe, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets. The Fourteenth International Conference on Learning Representations (ICLR), accepted, 2026.
- Naoki Morihira, Amal Nahar, Kartik Bharadwaj, Yasuhiro Kato, Akinobu Hayashi, Tatsuya Harada. R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation. The Fourteenth International Conference on Learning Representations (ICLR), accepted, 2026.
- Naoki Shitanda, Motoki Omura, Tatsuya Harada, Takayuki Osa. Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning. The Fourteenth International Conference on Learning Representations (ICLR), accepted, 2026.
- Keita Otani, Tatsuya Harada. SceneProp: Combining Neural Network and Markov Random Field for Scene-Graph Grounding. Winter Conference on Applications of Computer Vision (WACV), accepted, 2026.
- Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada. Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error. Winter Conference on Applications of Computer Vision (WACV), accepted, 2026.

2025

Ryo Umagami, Liu Yue, Xuangeng Chu, Ryuto Fukushima, Tetsuya Narita, Yusuke Mukuta, Tomoyuki Takahata, Jianfei Yang, Tatsuya Harada. Intend to Move: A Dataset for Intention and Scene Aware Human Motion Prediction. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), accepted, 2025.
Shuhong Liu, Lin Gu, Ziteng Cui, Xuangeng Chu, Tatsuya Harada. I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), accepted, 2025.
Wenjun Huang, Ziteng Cui, Yinqiang Zheng, Yirui He, Tatsuya Harada, Mohsen Imani. Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), accepted, 2025.
Haruki Abe, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Analysis of Learning Dynamics on Heterogeneous Robot Datasets with Suboptimal Data. Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025, accepted, 2025.
Xuangeng Chu, Nabarun Goswami, Ziteng Cui, Hanqin Wang, Tatsuya Harada. ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model. SIGGRAPH Asia, accepted, 2025.
Tomoyuki Araki, Yusuke Mukuta, Takayuki Osa, Tatsuya Harada. Few-shot Imitation Learning by Variable-length Trajectory Retrieval from a Large and Diverse Dataset. IEEE-RAS 24th International Conference on Humanoid Robots (Humanoids), accepted, 2025.
Nabarun Goswami, Tatsuya Harada. FUSE: Universal Speech Enhancement using Multi‐Stage Fusion of Sparse Compression and Token Generation Models for the URGENT 2025 Challenge. Interspeech, accepted, 2025.
Nabarun Goswami, Yusuke Mukuta, Tatsuya Harada. HyperVQ: MLR-based Vector Quantization in Hyperbolic Space. Transactions on Machine Learning Research (TMLR), accepted, 2025.
Nabarun Goswami, Hanqin Wang, Tatsuya Harada. EDM-TTS: Efficient Dual-Stage Masked Modeling for Alignment-Free Text-to-Speech Synthesis. Transactions on Machine Learning Research (TMLR), accepted, 2025.
Motoki Omura, Yusuke Mukuta, Kazuki Ota, Takayuki Osa, Tatsuya Harada. Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps. Reinforcement Learning Conference (RCL), accepted, 2025.
Motoki Omura, Kazuki Ota, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning. Forty-second International Conference on Machine Learning (ICML), accepted, 2025.
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada. A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains. Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2025.
Ziteng Cui, Xuangeng Chu, Tatsuya Harada. Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment. Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2025.
Nabarun Goswami, Hanqin Wang, Tatsuya Harada. T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning. The Thirteenth International Conference on Learning Representations (ICLR), accepted, 2025.
Yusuke Kurose, Haruto Chiba, Lin Gu, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusuaku Hayashi, Yasushi Koyama, Tatsuya Harada. Coronary Artery Segmentation With Partial Annotations in Coronary CT Angiography Images. IEEE 22nd International Symposium on Biomedical Imaging (ISBI), accepted, 2025.
Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada. Combining inherent knowledge of vision-language models with unsupervised domain adaptation through weak-strong guidance. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), accepted, 2025.
Yizhe Ruan, Lin Gu, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Yusaku Hayashi, Keisuke Nishizawa, Yasushi Koyama,Tatsuya Harada. Physiology-aware PolySnake For Coronary Vessel Segmentation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), accepted, 2025.

2024

Xuangeng Chu, Tatsuya Harada. Generalizable and Animatable Gaussian Head Avatar. Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS), accepted, 2024.
Tanachai Anakewat, Yusuke Mukuta, Thomas Westfechtel, Tatsuya Harada. Self-Stitching: Widely Applicable and Efficient Transfer Learning Using Stitching Layer. NeurIPS 2024 Workshop Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML), accepted, 2024.
Haruki Abe, Takayuki Osa, Motoki Omura, Jen-Yen Chang, Tatsuya Harada. Latent Space Curriculum Reinforcement Learning in High-Dimensional Contextual Spaces and Its Application to Robotic Piano Playing. 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), accepted, 2024.
Jen-Yen Chang, Thomas Westfechtel, Takayuki Osa, Tatsuya Harada. Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training. Transactions on Machine Learning Research (TMLR), accepted, 2024.
Xiaoxiao Wu, Zehong Huang, Lin Gu, Zhicong Liang, Zheng Li, Tatsuya Harada, Yingying Zhu. Defender of privacy and fairness: tiny but reversible generative model via mutually collaborative knowledge distillation. Neurocomputing, accepted, 2024.
Haruo Fujiwara, Yusuke Mukuta, Tatsuya Harada. Style-NeRF2NeRF: 3D Style Transfer from Style-Aligned Multi-View Images. SIGGRAPH Asia, accepted, 2024.
Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang. Frequency-aware Feature Fusion for Dense Image Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, 2024.
Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto. Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer. Artificial Intelligence In Medicine, accepted, 2024.
Ziteng Cui, Lin Gu, Tatsuya Harada. Discovering an Image-Adaptive Coordinate System for Photography Processing. The Thirty Fifth British Machine Vision Conference (BMVC), accepted, 2024.
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada. Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning. European Conference on Computer Vision (ECCV), accepted, 2024.
Ziteng Cui, Tatsuya Harada. RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images. European Conference on Computer Vision (ECCV), accepted, 2024.
Djamahl Etchegaray, Zi Huang, Tatsuya Harada, Yadan Luo. Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. European Conference on Computer Vision (ECCV), accepted, 2024.
Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Stabilizing Extreme Q-learning by Maclaurin Expansion. Reinforcement Learning Conference (RLC), accepted, 2024.
Takayuki Osa, Tatsuya Harada. Discovering Multiple Solutions in Offline Reinforcement Learning. Forty-first International Conference on Machine Learning (ICML), accepted, 2024.
Abby O'Neill, Abdul Rehman, Abhinav Gupta, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Andrey Kolobov, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Felipe Vieira Frujeri, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guangwen Yang, Guanzhi Wang, Hao Su, Hao-Shu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homanga Bharadhwaj, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jay Vakil , Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi "Jim" Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Ning Liu, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R Sanketi, Patrick "Tree" Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Mart'in-Mart'in, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shubham Tulsiani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vikash Kumar, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiangyu Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Xu Liangwei, Xuanlin Li, Yansong Pang, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yongqiang Dou, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Fu, Zipeng Lin. Open X-Embodiment: Robotic Learning Datasets and RT-X Models. The IEEE International Conference on Robotics and Automation (ICRA), accepted, 2024.
Giorgio Fabbro, Stefan Uhlich, Chieh-Hsin Lai, Woosung Choi, Marco Martínez-Ramírez, Weihsiang Liao, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada Mohanty, Roman Solovyev, Alexander Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji. The Sound Demixing Challenge 2023 - Music Demixing Track. Transactions of the International Society for Music Information Retrieval. 2024, Volume: 7 Issue: 1, Page/Article: 63-84, DOI: https://transactions.ismir.net/articles/10.5334/tismir.171
Shun Yoshikawa, Yusuke Mukuta, Takayuki Osa, Tatsuya Harada. RallySim : Simulated Environment with Continuous Control for Turn-based Multi-agent Reinforcement Learning. ICRA 2024 Workshop on Multi-agent Dynamic Games, accepted, 2024.
Kohtaro Tanaka, Kohei Uehara, Lin Gu, Yusuke Mukuta, Tatsuya Harada. Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), accepted, 2024
Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada. GPAvatar: Generalizable and Precise Head Avatar from Image(s). The Twelfth International Conference on Learning Representations (ICLR), accepted, 2024.
Kohei Uehara, Tatsuya Harada. Learning by Asking Questions for Knowledge-based Novel Object Recognition. International Journal of Computer Vision (IJCV), accepted, 2024.
Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada. Symmetric Q-Learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), accepted, 2024.
Ziteng Cui, Lin Gu, Xiao Sun, xianzheng ma, Yu Qiao, Tatsuya Harada. Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), accepted, 2024.
Thomas Westfechtel, Hao-Wei Yeh, Dexuan Zhang, Tatsuya Harada. Gradual Source Domain Expansion for Unsupervised Domain Adaptation. Winter Conference on Applications of Computer Vision (WACV), accepted, 2024.
Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama. Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. Winter Conference on Applications of Computer Vision (WACV), accepted, 2024.

2023

Yuki Kawana, Tatsuya Harada. Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), accepted, 2023.
Yosuke Shinya, Kenichi Yoneji, Akihiro Tsukada, Tatsuya Harada. 3D Lighter: Learning to Generate Emissive Textures. SIGGRAPH Asia 2023, accepted, poster, 2023.
Hu, X., Gu, L., An, Q., Zhang, M., liu, l., Kobayashi, K., Harada, T.,Summers, R., & Zhu, Y. (2023). Medical-Diff-VQA: A Large-Scale Medical Datasetfor Difference Visual Question Answering on Chest X-Ray Images (version1.0.0). PhysioNet. https://doi.org/10.13026/5jes-bx23.
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada. SayTap: Language to Quadrupedal Locomotion. 7th Annual Conference on Robot Learning (CoRL), accepted, 2023.
Takayuki Hara, Yusuke Mukuta, Tatsuya Harada. Spherical Image Generation from a Few Normal-Field-of-View Images by Considering Scene Symmetry. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 5, pp. 6339-6353, 1 May 2023, doi: 10.1109/TPAMI.2022.3215933.
Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada. Learning Adaptive Policies for Autonomous Excavation Under Various Soil Conditions by Adversarial Domain Sampling. IEEE Robotics and Automation Letters (RA-L), accepted, 2023.
Yusuke Mukuta, Tatsuya Harada. Invariant Feature Coding using Tensor Product Representation. Transactions on Machine Learning Research (TMLR), accepted, 2023.
Dexuan Zhang, Tatsuya Harada. Unsupervised Domain Adaptation via Minimized Joint Error. Transactions on Machine Learning Research (TMLR), accepted, 2023.
Ayako Nakada, Ryota Niikura, Keita Otani, Yusuke Kurose, Yoshito Hayashi, Kazuya Kitamura, Hiroyoshi Nakanishi, Seiji Kawano, Testuya Honda, Kenkei Hasatani, Tetsuya Sumiyoshi, Tsutomu Nishida, Atsuo Yamada, Tomonori Aoki, Tatsuya Harada, Takashi Kawai, and Mitsuhiro Fujishiro. 2023. "Improved Object Detection Artificial Intelligence Using the Revised RetinaNet Model for the Automatic Detection of Ulcerations, Vascular Lesions, and Tumors in Wireless Capsule Endoscopy" Biomedicines 11, no. 3: 942. https://doi.org/10.3390/biomedicines11030942
Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada. COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contents. Computer Speech & Language, vol.80, pages 101484, 2023. https://doi.org/10.1016/j.csl.2023.101484
Hao-Wei Yeh, Qier Meng, Tatsuya Harada. Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation. Out Of Distribution Generalization in Computer Vision in conjunction with ICCV 2023, accepted, 2023.
Ayaka Ideno, Takuhiro Kaneko, Tatsuya Harada. Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion. ACM International Conference on Multimodal Interaction (ICMI), accepted, 2023. (Oral, LONG paper)
Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada. Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. International Conference on Computer Vision (ICCV), accepted, 2023. (oral)
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu. MedIM: Boost Medical Image Representation via Radiology Report-guided Masking. Medical Image Computing and Computer-Assisted Intervention (MICCAI), accepted, 2023.
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto. 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), accepted, 2023.
Xinyue Hu, Lin Gu, Qiyuan An, Zhang Mengliang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu. Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. 29th SIGKDD Conference on Knowledge Discovery and Data Mining - Applied Data Science Track, accepted, 2023.
Kohei Shiba, Yusuke Mukuta, Tatsuya Harada. Zero-shot Object Classification with Large-scale Knowledge Graph. the Workshop on Learning with Limited Labelled Data (CVPR 2023), accepted, 2023.
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Akihiko Yoshizawa, Tetsuo Ushiku, Masashi Fukayama, Masanobu Kitagawa, Masaru Kitsuregawa, Tatsuya Harada. Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images. IEEE International Symposium on Biomedical Imaging (ISBI) 2023, accepted, 2023.
Zhennan Wu, Yang Li, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato. 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation. Eleventh International Conference on Learning Representations (ICLR), accepted, 2023.
Junjie Zhu, Lin Gu, Xiaoxiao Wu, Zheng Li, Tatsuya Harada, Yingying Zhu. People taking photos that faces never share: Privacy Protection and Fairness Enhancement from Camera to User. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), accepted, 2023.
Kohei Uehara, Tatsuya Harada. K-VQG: Knowledge-aware Visual Question Generation for Common-sense Acquisition. Winter Conference on Applications of Computer Vision (WACV), accepted, 2023.
Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada. Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment. Winter Conference on Applications of Computer Vision (WACV), accepted, 2023.

2022

Yang Li, Tatsuya Harada. Non-rigid Point Cloud Registration with Neural Deformation Pyramid. Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), accepted, 2022.
Daiki Naruse, Tomoyuki Takahata, Yusuke Mukuta, Tatsuya Harada. Pop Music Generation with Controllable Phrase Lengths. The 23rd International Society for Music Information Retrieval Conference (ISMIR), accepted, 2022.
Hiroyuki Abe, Yusuke Kurose, Shusuke Takahama, Ayako Kume, Shu Nishida, Miyako Fukasawa, Yoichi Yasunaga, Tetsuo Ushiku, Youichiro Ninomiya, Akihiko Yoshizawa, Kohei Murao, Shin’ichi Sato, Masaru Kitsuregawa, Tatsuya Harada, Masanobu Kitagawa, Masashi Fukayama. Development and multi-institutional validation of an artificial intelligence-based diagnostic system for gastric biopsy. Cancer Science, 2022. DOI: https://doi.org/10.1111/cas.15514
Yuki Kawana, Yusuke Mukuta, Tatsuya Harada. Unsupervised Pose-aware Part Decomposition for Man-made Articulated Objects. The European Conference on Computer Vision (ECCV), accepted, 2022. (oral)
Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada. Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations. The European Conference on Computer Vision (ECCV), accepted, 2022.
Tianhan Xu, Tatsuya Harada. Deforming Radiance Fields with Cages. The European Conference on Computer Vision (ECCV), accepted, 2022.
Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada. Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. The European Conference on Computer Vision (ECCV), accepted, 2022.
Nabarun Goswami and Tatsuya Harada. SATTS: Speaker Attractor Text to Speech, Learning to Speak by Learning to Separate. Interspeech, accepted, 2022.
Yang Li, Tatsuya Harada. Lepard: Learning partial point cloud matching in rigid and deformable scenes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2022. (oral)
Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo. Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2022.
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Hancock Edwin. Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2022.
Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada. Fully Spiking Variational Autoencoder. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), accepted, 2022.
Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, ZhengKai Jiang, Yu Qiao, Tatsuya Harada. You Only Need 90K Parameters to Adapt Light: a Light Weight Transformer for Image Enhancement and Exposure Correction. accepted, British Machine Vision Conference (BMVC), 2022.
Baoyao Yang, Hao-Wei Yeh, Tatsuya Harada, Pong C. Yuen. Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation. IEEE Transactions on Image Processing. pp.419-432, 2022. Digital Object Identifier: 10.1109/TIP.2021.3130530
Mohammad Reza Motallebi, Thomas Westfechtel, Yang Li, Tatsuya Harada. Unsupervised Hierarchical Disentanglement for Video Prediction. 26th International Conference on Pattern Recognition (ICPR), accepted, 2022.
Hao-Wei Yeh, Thomas Westfechtel, Jia-Bin Huang, Tatsuya Harada. Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature Alignment. 26th International Conference on Pattern Recognition (ICPR), accepted, 2022.
Kohei Uehara, Nan Duan, Tatsuya Harada. Learning to Ask Informative Sub-Questions for Visual Question Answering. 5th MUltimodal Learning and Applications Workshop (MULA 2022) in conjunction with CVPR 2022, accepted, 2022.
Kohei Uehara, Yusuke Mori, Yusuke Mukuta and Tatsuya Harada. ViNTER: Image Narrative Generation with Emotion-Arc-Aware Transformer. The 1st International Workshop on Multimodal Understanding for the Web and Social Media (MUWS), co-located with The WebConf (WWW) 2022, accepted, 2022.
Yusuke Mori, Hiroaki Yamane, Ryohei Shimizu, Tatsuya Harada. 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), accepted, 2022.
Bumjun Jung, Lin Gu, Tatsuya Harada. Graph interaction for automated diagnosis of thoracic disease using x-ray images. Proc. SPIE 12032, Medical Imaging 2022: Image Processing, 120320L (4 April 2022)

2021

Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada. Neural Articulated Radiance Field. International Conference on Computer Vision (ICCV), pp.5762-5772, 2021.
Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada. Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. International Conference on Computer Vision (ICCV), pp.2553-2562, 2021.
Yifei Huang, Xiaoxiao Li, Lijin Yang, Lin Gu, Yingying Zhu, Hirofumi Seo, Qiuming Meng, Tatsuya Harada, Yoichi Sato. Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data. British Machine Vision Conference, 517-paper, 2021.
Takuhiro Kaneko, Tatsuya Harada. Blur, Noise, and Compression Robust Generative Adversarial Networks. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.13579-13589, 2021.
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang , Lin Gu , Jun Zhou, Tatsuya Harada. Goal-Oriented Gaze Estimation for Zero-Shot Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.3794-3803, 2021.
Ryohei Shimizu, Yusuke Mukuta, Tatsuya Harada. Hyperbolic Neural Networks++. International Conference on Learning Representations (ICLR), 25 pages, online, May 4-8, 2021.
Takayuki Hara, Yusuke Mukuta, Tatsuya Harada. Spherical Image Generation from a Single Image by Considering Scene Symmetry. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 35(2), pp.1513-1521, 2021.
Wataru Kawai, Yusuke Mukuta, Tatsuya Harada. Real-Time Mesh Extraction from Implicit Functions via Direct Reconstruction of Decision Boundary. IEEE International Conference on Robotics and Automation (ICRA), 7 pages, online, May 30 - Jun. 25, 2021.
Thomas Westfechtel, Kazunori Ohno, Tetsu Akegawa, Kento Yamada, Ranulfo Bezerra, Shotaro Kojima, Taro Suzuki, Tomohiro Komatsu, Shibata Shibata Yukinori, Kimitaka Asano, Keiji Nagatani, Naoto Miyamoto, Takahiro Suzuki, Tatsuya Harada, Satoshi Tadokoro. Semantic Mapping of Construction Site from Multiple Daily Airborne LiDAR Data. IEEE International Conference on Robotics and Automation (ICRA), accepted, 2021.
Hao-Wei Yeh, Baoyao Yang, PongChi Yuen, Tatsuya Harada. SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation. Winter Conference on Applications of Computer Vision 2021 (WACV), pp.474-483, 2021.
Yanli Ji, Yang Yang, Heng Tao Shen, Tatsuya Harada. View-invariant action recognition via Unsupervised AttentioN Transfer (UANT). Pattern Recognition, Volume 113, 107807, 2021.
Hiroaki Yamane, Yusuke Mori, Tatsuya Harada. Humor Meets Morality: Joke Generation Based on Moral Judgement. Information Processing and Management, Volume 58, Issue 3, 2021, 102520, ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2021.102520.
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada. The Nectar of Missing Position Prediction for Story Completion. Workshop on Text2Story co-located with the 43rd European Conference on Information Retrieval (ECIR 2021), 2021.
Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada. Beam Stack Search-based Reconstruction of Coronary Artery Wall Segmentations in CPR Scans. the 2021 IEEE International Symposium on Biomedical Imaging (ISBI), accepted, 2021.

2020

Yuki Kawana, Yusuke Mukuta, Tatsuya Harada. Neural Star Domain as Primitive Representation. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), accepted, 2020.
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto. Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. ML4H: Machine Learning for Health Workshop at NeurIPS 2020, accepted, 2020.
Kohei Uehara and Tatsuya Harada. Unsupervised Keyword Extraction for Full-sentence VQA. EMNLP workshop on NLP Beyond Text, accepted, 2020.
Hayato Sumino, Adrien Bitton, Lisa Kawai, Philippe Esling, and Tatsuya Harada. Automatic Music Transcription and Instrument Transposition with Differentiable Rendering. The 2020 Joint Conference on AI Music Creativity, accepted, 2020.
Ren Harada, Antonio Tejero-de-Pablos, Tatsuya Harada. Accurate Parts Visualization for Explaining CNN Reasoning via Semantic Segmentation. British Machine Vision Conference (BMVC), accepted, 2020.
Lisa Kawai, Philippe Esling, Tatsuya Harada. Attributes-aware Deep Music Transformation. the 21st International Society for Music Information Retrieval Conference (ISMIR), accepted, 2020.
Sho Inayoshi, Keita Otani, Antonio Tejero de Pablos, Tatsuya Harada. Bounding-box Channels for Visual Relationship Detection. The 16th European Conference on Computer Vision (ECCV), accepted, 2020. (spotlight)
Takuhiro Kaneko, Tatsuya Harada. Noise Robust Generative Adversarial Networks. The 33rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2020.
Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Niessner. Learning to Optimize Non-Rigid Tracking. The 33rd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), accepted, 2020. (oral)
Atsuhiro Noguchi, Tatsuya Harada. RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis. ICLR, accepted, 2020.
Toshihiko Matsuura, Tatsuya Harada. Domain Generalization Using a Mixture of Multiple Latent Domains. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), accepted, 2020.
Yang Li, Tianwei Zhang, Yoshihiko Nakamura, Tatsuya Harada. SplitFusion: Simultaneous Tracking and Mapping for Non-Rigid Scenes. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2020.
Yujin Tang, Jie Tan, Tatsuya Harada. Learning Agile Locomotion via Adversarial Training. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2020.
Kenzo Lobos-Tsunekawa, Tatsuya Harada. Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2020.
Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane, Yusuke Kurose, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada. Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization. The IEEE International Symposium on Biomedical Imaging (ISBI'20), accepted, 2020.

2019

Atsuhiro Noguchi, Tatsuya Harada. Image generation from small datasets via batch statistics adaptation. International Conference on Computer Vision (ICCV), accepted, 2019.
Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada. Towards Human-Friendly Referring Expression Generation. International Conference on Computer Vision (ICCV), accepted, 2019.
Shusuke Takahama, Yusuke Kurose, Yusuke Mukuta, Hiroyuki Abe, Masashi Fukayama, Akihiko Yoshizawa, Masanobu Kitagawa, Tatsuya Harada. Multi-Stage Pathological Image Classification using Semantic Segmentation. International Conference on Computer Vision (ICCV), accepted, 2019.
Atsushi Kanehira, Kentaro Takemoto, Sho Inayoshi, Tatsuya Harada. Multimodal Explanations by Predicting Counterfactuality in Videos. The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8594-8602, 2019. (oral)
Hiroharu Kato, Tatsuya Harada. Learning View Priors for Single-view 3D Reconstruction. The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9778-9787, 2019.
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada. Label-Noise Robust Generative Adversarial Networks. The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2467-2476, 2019. (oral)
Atsushi Kanehira, Tatsuya Harada. Learning to Explain with Complemental Examples. The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8603-8611, 2019. (oral)
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko. Strong-Weak Distribution Alignment for Adaptive Object Detection. The 32nd IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6956-6965, 2019.
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada. Class-Distinct and Class-Mutual Image Generation with GANs. 30th British Machine Vision Conference (BMVC), accepted, 2019.
Yanli Ji, Feixiang Xu, Yang Yang, Ning Xie, Heng Tao Shen and Tatsuya Harada. Attention Transfer (ANT) Network for View-invariant Action Recognition. 27th ACM International Conference on Multimedia (ACMMM), accepted, 2019.
Akane Iseki, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Estimating the Causal Effect from Partially Observed Time Series. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), accepted, 2019.
Yang Li, Yoshitaka Ushiku, Tatsuya Harada. Pose Graph Optimization for Unsupervised Monocular Visual Odometry. The 2019 International Conference on Robotics and Automation (ICRA), pp.5439-5445, 2019.
Jen-Yen Chang, Antonio Tejero-de-Pablos, Tatsuya Harada. Improved Optical Flow for Gesture-based Human Robot Interaction. The 2019 International Conference on Robotics and Automation (ICRA), pp.7983-7989, 2019.
Atsuro Okazawa, Tomoyuki Takahata, Tatsuya Harada. Simultaneous transparent and non-transparent objects segmentation with multispectral scenes. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), accepted, 2019.
Takayoshi Takayanagi, Yusuke Kurose, Tatsuya Harada. Hierarchical Task Planning from Object Goal State for Human-Assist Robot. 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), accepted, 2019.
Teppei Kanayama, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin'ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada. Gastric cancer detection from endoscopic images using synthesis by GAN. Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI), accepted, 2019.
Antonio Tejero-de-Pablos, Kaikai Huang, Hiroaki Yamane, Yusuke Kurose, Yusuke Mukuta, Yasushi Koyama, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Tatsuya Harada. Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries. Medical Image Computing and Computer Assisted Interventions 2019 (MICCAI), accepted, 2019.(oral)
Akio Hayakawa, Yusuke Kurose, Kiyohito Tanaka, Kento Aida, Shin’ichi Satoh, Masaru Kitsuregawa, Tatsuya Harada. Gastric cancer detection for gastroenterological endoscopy with local and multi-scale global information. The International Conference of Computer Assisted Radiology and Surgery (CARS), accepted, 2019.

2018

Kohei Uehara, Antonio Tejero-de-Pablos, Yoshitaka Ushiku, Tatsuya Harada. Visual Question Generation for Class Acquisition of Unknown Objects. The 15th European Conference on Computer Vision (ECCV), pp. 481-496, 2018. [pdf]
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. Adversarial Open Set Domain Adaptation. The 15th European Conference on Computer Vision (ECCV), pp. 153-168, 2018. [pdf]
Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. Multichannel Semantic Segmentation with Unsupervised Domain Adaptation. First International Workshop On Autonomous Navigation in Unconstrained Environments In Conjunction with ECCV 2018 (AUTONUE2018), accepted, 2018.
Toshihiko Matsuura, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. Generalized Bayesian Canonical Correlation Analysis with Missing Modalities. 1st Multimodal Learning and Applications Workshop In conjunction with ECCV 2018 (MULA2018), accepted, 2018.
Hiroharu Kato, Yoshitaka Ushiku, Tatsuya Harada. Neural 3D Mesh Renderer. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.3907-3916, 2018. (spotlight oral) [pdf]
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada. Between-class Learning for Image Classification. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.5486-5494, 2018.[pdf]
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Tatsuya Harada. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.3723-3732, 2018. (oral) [pdf]
Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku, Tatsuya Harada. Viewpoint-aware Video Summarization. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.7435-7444, 2018. (spotlight oral) [pdf]
Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. Customized Image Narrative Generation via Interactive Visual Question Generation and Answering. The 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.8925-8933, 2018. (spotlight oral) [pdf]
Yuji Tokozume, Yoshitaka Ushiku, Tatsuya Harada. Learning from Between-class Examples for Deep Sound Recognition. 6th International Conference on Learning Representations (ICLR), 2018.[pdf]
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko. Adversarial Dropout Regularization. 6th International Conference on Learning Representations (ICLR), 2018.[pdf]
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Alternating Circulant Random Features for Semigroup Kernels. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3836-3843, 2018.[pdf]
Katsunori Ohnishi, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.2387-2394, 2018. (oral) [pdf]

2017

Hanna Tseran and Tatsuya Harada. Memory Augmented Neural Network with Gaussian Embeddings for One-Shot Learning. NIPS Workshop on Bayesian Deep Learning, 12, 2017.
Masataka Yamaguchi, Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada. Spatio-temporal Person Retrieval via Natural Language Queries. In the 16th International Conference on Computer Vision (ICCV), pp.1462-1471, 2017. [pdf]
Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Spatial-Temporal Weighted Pyramid using Spatial Orthogonal Pooling. ICCV 2017 Workshop on CEFRL: Compact and Efficient Feature Representation and Learning in Computer Vision, pp.1041-1049, 2017. [pdf]
Kuniaki Saito, Yusuke Mukuta, Yoshitaka Ushiku, Tatsuya Harada. Deep Modality Invariant Adversarial Network for Shared Representation Learning. ICCV 2017 Workshop on TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision, pp.2623-2629, 2017. [pdf]
Kuniaki Saito, Yoshitaka Ushiku, and Tatsuya Harada. Asymmetric Tri-training for Unsupervised Domain Adaptation. International Conference on Machine Learning (ICML), PMLR 70:2988-2997, 2017. [pdf]
Masatoshi Hidaka, Yuichiro Kikura, Yoshitaka Ushiku, Tatsuya Harada. WebDNN: Fastest DNN Execution Framework on Web Browser. ACM Multimedia Open Source Software Competition, pp.1213-1216, 2017. (Honorable Mention Open source software Award) [pdf]
Takumi Karasawa, Kohei Watanabe, Qishen Ha, Antonio Tejero-De-Pablos, Yoshitaka Ushiku, Tatsuya Harada. Multispectral Object Detection for Autonomous Vehicles. ACM Multimedia Thematic Workshops, pp.35-43, 2017. [pdf]
Qishen Ha, Kohei Watanabe, Takumi Karasawa, Yoshitaka Ushiku, Tatsuya Harada. MFNet: Towards Real-Time Semantic Segmentation for Autonomous Vehicles with Multi-Spectral Scenes. The 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.5108-5115, 2017. [pdf]
Masatoshi Hidaka, Ken Miura, Tatsuya Harada. Development of JavaScript-based deep learning platform and application to distributed training. The 5th International Conference on Learning Representations (ICLR), workshop track, 2017. [pdf]
Yuji Tokozume, Tatsuya Harada. Learning Environmental Sounds with End-to-end Convolutional Neural Network. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017. [pdf]
Kuniaki Saito, Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. DUALNET: Domain-invariant Network for Visual Question Answering. The 18th IEEE International Conference on Multimedia and Expo (ICME), 2017. [pdf]
Qianru Sun, Hong Liu, Tatsuya Harada. Online growing neural gas for anomaly detection in changing surveillance scenes. Pattern Recognition, vol.64, pp.187-201, 2017.

2016

Yusuke Mukuta, Tatsuya Harada. Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning. The Twenty-Nineth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf]
Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada. Recognizing Activities of Daily Living with a Wrist-mounted Camera. The Twenty-Nineth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (spotlight oral) [pdf]
Atsushi Kanehira, Tatsuya Harada. Multi-label Ranking from Positive and Unlabeled Data. The Twenty-Nineth IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf]
Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada. Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset. The British Machine Vision Conference (BMVC), pp.53.1-53.12, 2016. [pdf]
Atsushi Kanehira, Andrew Shin, Tatsuya Harada. True-negative Label Selection for Large-scale Multi-label Learning. 23rd International Conference on Pattern Recognition (ICPR), pp.3673-3678, 2016. [pdf]
Tetsuaki Mano, Hiroaki Yamane, Tatsuya Harada. Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis. ACM Multimedia, pp.112-116, 2016. [pdf]
Katsunori Ohnishi, Masatoshi Hidaka, Tatsuya Harada. Improved Dense Trajectory with Cross Streams. ACM Multimedia, pp.257-261, 2016. [pdf]
Shohei Yamamoto, Tatsuya Harada. Video Generation Using 3D Convolutional Neural Network. ACM Multimedia, pp.576-580, 2016. [pdf]
Andrew Shin, Katsunori Ohnishi, Tatsuya Harada. Beyond Caption To Narrative: Video Captioning With Multiple Sentences. ICIP, pp.3364-3368, 2016. [pdf]
Tomoaki Saito, Asako Kanezaki, Tatsuya Harada. IBC127: Video Dataset for Fine-grained Bird Classification. 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016. [pdf]

2015

Yoshitaka Ushiku, Yusuke Mukuta, Masataka Yamaguchi, Tatsuya Harada. Common Subspace for Model and Similarity: Phrase Learning for Sentence Generation from Images. In the 15th International Conference on Computer Vision (ICCV), pp.2668-2676, 2015.
Asako Kanezaki, Tatsuya Harada. 3D Selective Search for Obtaining Object Candidates. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 82-87, 2015.
Chie Kamada, Asako Kanezaki, Tatsuya Harada. Probabilistic Semi-Canonical Correlation Analysis. Proceedings of the 23th Annual ACM International Conference on Multimedia (ACMMM), pp. 1131-1134, 2015.
Hiroharu Kato and Tatsuya Harada. Image Reconstruction from Bag-of-Visual-Words. arXiv preprint arXiv:1505.05190.
Hiroharu Kato and Tatsuya Harada. Visual Language Modeling on CNN Image Representations. arXiv preprint arXiv:1511.02872.
Katsunori Ohnishi, Atsushi Kanehira, Asako Kanezaki, Tatsuya Harada. Recognizing Activities of Daily Living with a Wrist-mounted Camera. arXiv preprint arXiv:1603.06208.
Ken Miura, Tetsuaki Mano, Atsushi Kanehira, Yuichiro Tsuchiya, Tatsuya Harada. MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning. arXiv:1502.06064.
Ken Miura, Tatsuya Harada. Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning. arXiv:1503.05743.

2014

Yusuke Mukuta, Tatsuya Harada. Probabilistic Partial Canonical Correlation Analysis. In Proceedings of the 31st International Conference on Machine Learning (ICML), pp.1449-1457, 2014.
Hiroharu Kato, Tatsuya Harada. Image Reconstruction from Bag-of-Visual-Words. In The Twenty-Seventh IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.955-962, 2014.
Yoshitaka Ushiku, Masatoshi Hidaka, Tatsuya Harada. Three Guidelines of Online Learning for Large-Scale Visual Recognition. In The Twenty-Seventh IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp.3574-3581, 2014.
Asako Kanezaki, Sho Inaba, Yoshitaka Ushiku, Yuya Yamashita, Hiroshi Muraoka, Yasuo Kuniyoshi, Tatsuya Harada. Hard Negative Classes for Multiple Object Detection. 2014 IEEE International Conference on Robotics and Automation (ICRA), pp.3066-3073, 2014.
Asako Kanezaki, Emanuele Rodolà, Daniel Cremers, Tatsuya Harada. Learning Similarities for Rigid and Non-Rigid Object Detection. 2014 2nd International Conference on 3D Vision (3DV), pp.720-727, 2014.
Sho Inaba, Asako Kanezaki, Tatsuya Harada. Automatic Image Synthesis from Keywords Using Scene Context. Proceedings of the 22th Annual ACM International Conference on Multimedia (ACMMM), pp.1149-1152, 2014.
Masaru Mizuochi, Asako Kanezaki, Tatsuya Harada. Clothing Retrieval Based on Local Similarity with Multiple Images. Proceedings of the 22th Annual ACM International Conference on Multimedia (ACMMM), pp.1165-1168, 2014.
Asako Kanezaki, Yusuke Mukuta, Tatsuya Harada. Mirror Reflection Invariant HOG descriptors for Object Detection. In IEEE International Conference on Image Processing (ICIP), pp.1594-1598, 2014.

2013

Emanuele Rodolà, Andrea Torsello, Tatsuya Harada, Yasuo Kuniyoshi, Daniel Cremers. Elastic Net Constraints for Shape Matching. In the 14th International Conference on Computer Vision (ICCV), pp.1169-1176, 2013.
Asako Kanezaki, Yasuo Kuniyoshi, and Tatsuya Harada. Weakly-supervised Multi-class Object Detection Using Multi-type 3D Features. Proceedings of the 21th Annual ACM International Conference on Multimedia (ACMMM), pp. 605-608, 2013.
Emanuele Rodolà, Tatsuya Harada, Yasuo Kuniyoshi, and Daniel Cremers. Efficient Shape Matching using Vector Extrapolation. In The British Machine Vision Conference (BMVC), pp. 91.1-91.11, 2013.

2012

Tatsuya Harada, and Yasuo Kuniyoshi. Graphical Gaussian Vector for Image Categorization. The Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS), pp.1556-1564, 2012.
Yoshitaka Ushiku, Tatsuya Harada, and Yasuo Kuniyoshi. Efficient Image Annotation for Automatic Sentence Generation. The 20th Annual ACM International Conference on Multimedia (ACMMM), pp.549-558, 2012.
Hiroharu Kato, Tatsuya Harada, and Yasuo Kuniyoshi. Visual Anomaly Detection from Small Samples for Mobile Robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3171-3178, 2012.
Fumihiro Bessho, Tatsuya Harada and Yasuo Kuniyoshi. Dialog System Using Real-Time Crowdsourcing and Twitter Large-Scale Corpus. Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pp.227-231, 2012.
Yuya Yamashita, Tatsuya Harada, and Yasuo Kuniyoshi. Causal Flow. IEEE Transactions on Multimedia, Vol.3, No.3, pp.619-629, 2012.

Talk

Yahoo! Japan Deep Learning Tokyo 2016, Yahoo! Japan, 3/20/2016 [slides]

Laboratory

Contact
Rm. 427 4th Bldg. 4-6-1 Komaba Meguro-ku, Tokyo 153-8904 JAPAN
Tel: +81-3-5452-5495
E-mail: harada [at] mi.t.u-tokyo.ac.jp

Last updated Oct. 13, 2024.