| LLCNN: A convolutional neural network for low-light image enhancement L Tao, C Zhu, G Xiang, Y Li, H Jia, X Xie 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 215 | 2017 |
| Self-supervised video representation learning using inter-intra contrastive framework L Tao, X Wang, T Yamasaki Proceedings of the 28th ACM International Conference on Multimedia, 2193-2201, 2020 | 93 | 2020 |
| Low-light image enhancement using CNN and bright channel prior L Tao, C Zhu, J Song, T Lu, H Jia, X Xie 2017 IEEE International Conference on Image Processing (ICIP), 3215-3219, 2017 | 75 | 2017 |
| Weakly supervised video summarization by hierarchical reinforcement learning Y Chen, L Tao, X Wang, T Yamasaki Proceedings of the 1st ACM International Conference on Multimedia in Asia, 1-6, 2019 | 54 | 2019 |
| Dense relation network: Learning consistent and context-aware representation for semantic image segmentation Y Zhuang, F Yang, L Tao, C Ma, Z Zhang, Y Li, H Jia, X Xie, W Gao 2018 25th IEEE international conference on image processing (ICIP), 3698-3702, 2018 | 50 | 2018 |
| Rethinking motion representation: Residual frames with 3D ConvNets L Tao, X Wang, T Yamasaki IEEE Transactions on Image Processing 30, 9231-9244, 2021 | 33* | 2021 |
| An improved inter-intra contrastive learning framework on self-supervised video representation L Tao, X Wang, T Yamasaki IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5266-5280, 2022 | 28 | 2022 |
| Pretext-contrastive learning: Toward good practices in self-supervised video representation leaning L Tao, X Wang, T Yamasaki arXiv preprint arXiv:2010.15464, 2020 | 23* | 2020 |
| RelationNet: Learning deep-aligned representation for semantic image segmentation Y Zhuang, L Tao, F Yang, C Ma, Z Zhang, H Jia, X Xie 2018 24th International Conference on Pattern Recognition (ICPR), 1506-1511, 2018 | 20 | 2018 |
| Motion representation using residual frames with 3D CNN L Tao, X Wang, T Yamasaki 2020 IEEE International conference on image processing (ICIP), 1786-1790, 2020 | 7 | 2020 |
| Aligning language models with offline reinforcement learning from human feedback J Hu, L Tao, J Yang, C Zhou arXiv preprint arXiv:2308.12050, 2023 | 6 | 2023 |
| Adaptive feature selection based on local descriptor distinctive degree for vehicle retrieval application C Zhu, H Jia, T Lu, L Tao, J Song, G Xiang, Y Li, X Xie 2017 IEEE International Conference on Consumer Electronics (ICCE), 66-69, 2017 | 5 | 2017 |
| Reproducibility Companion Paper: Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework L Tao, X Wang, T Yamasaki, J Chen, S Hicks Proceedings of the 29th ACM International Conference on Multimedia, 3630-3632, 2021 | 2 | 2021 |
| Mobile visual search based on histogram matching and zone weight learning C Zhu, L Tao, F Yang, T Lu, H Jia, X Xie Journal of Physics: Conference Series 933 (1), 012001, 2017 | 2 | 2017 |
| A large-scale television advertising dataset for detailed impression analysis L Tao, S Nakamura, X Wang, T Kawahara, G Tamura, T Yamasaki Multimedia Tools and Applications 83 (7), 18779-18802, 2024 | 1 | 2024 |
| Television advertisement analysis using attention-based multimodal network L Tao, X Wang, T Kawahara, T Yamasaki 人工知能学会全国大会論文集 第 34 回 (2020), 1H4OS12b01-1H4OS12b01, 2020 | 1 | 2020 |
| A Length Controllable Model for Stylized Image Captioning C Zhang, L Tao, T Yamasaki IEICE Technical Report; IEICE Tech. Rep. 121 (374), 121-126, 2022 | | 2022 |
| Pretext-Contrastive Learning for Self-Supervised Video Feature Learning L Tao, X Wang, T Yamasaki IEICE Technical Report; IEICE Tech. Rep. 121 (374), 109-114, 2022 | | 2022 |
| Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization X Zhang, L Tao, X Wang, T Yamasaki IEICE Technical Report; IEICE Tech. Rep. 121 (374), 115-120, 2022 | | 2022 |
| Pretext-Contrastive Learning for Self-Supervised Video Feature Learning TAO Li, W Xueting 映像情報メディア学会技術報告= ITE technical report 46 (6), 255-260, 2022 | | 2022 |
