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Li TAO
Li TAO
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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
2292017
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
992020
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
802017
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
582019
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
522018
Rethinking motion representation: Residual frames with 3D ConvNets
L Tao, X Wang, T Yamasaki
IEEE Transactions on Image Processing 30, 9231-9244, 2021
34*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
312022
Pretext-contrastive learning: Toward good practices in self-supervised video representation leaning
L Tao, X Wang, T Yamasaki
arXiv preprint arXiv:2010.15464, 2020
24*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
202018
Aligning language models with offline reinforcement learning from human feedback
J Hu, L Tao, J Yang, C Zhou
arXiv preprint arXiv:2308.12050, 2023
122023
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
82020
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
52017
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
22021
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
22017
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
12024
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
12020
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
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