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Yongcheng Jing
Yongcheng Jing
PhD Student, The University of Sydney
Verified email at uni.sydney.edu.au
Title
Cited by
Cited by
Year
Neural Style Transfer: A Review
Y Jing, Y Yang, Z Feng, J Ye, Y Yu, M Song
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019
5212019
Ntire 2019 challenge on real image super-resolution: Methods and results
J Cai, S Gu, R Timofte, L Zhang, et al.
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
962019
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Y Jing, Y Liu, Y Yang, Z Feng, Y Yu, D Tao, M Song
Proceedings of the European Conference on Computer Vision (ECCV), 2018
952018
Dynamic Instance Normalization for Arbitrary Style Transfer
Y Jing, X Liu, Y Ding, X Wang, E Ding, M Song, S Wen
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
932020
Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition
Z Feng, Z Yu, Y Yang, Y Jing, J Jiang, M Song
Proceedings of the 2018 ACM on International Conference on Multimedia …, 2018
332018
Amalgamating Knowledge From Heterogeneous Graph Neural Networks
Y Jing, Y Yang, X Wang, M Song, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
242021
Finer-net: Cascaded human parsing with hierarchical granularity
J Ye, Z Feng, Y Jing, M Song
2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018
122018
Turning Frequency to Resolution: Video Super-resolution via Event Cameras
Y Jing, Y Yang, X Wang, M Song, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
102021
Edge-Sensitive Human Cutout with Hierarchical Granularity and Loopy Matting Guidance
J Ye, Y Jing, X Wang, K Ou, D Tao, M Song
IEEE Transactions on Image Processing (TIP), 2019
72019
Interpretable partitioned embedding for intelligent multi-item fashion outfit composition
Z Feng, Z Yu, Y Jing, S Wu, M Song, Y Yang, J Jiang
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019
72019
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Y Jing, Y Yang, X Wang, M Song, D Tao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
Learning graph neural networks for image style transfer
Y Jing, Y Mao, Y Yang, Y Zhan, M Song, X Wang, D Tao
European Conference on Computer Vision, 111-128, 2022
32022
Seek-and-hide: adversarial steganography via deep reinforcement learning
W Pan, Y Yin, X Wang, Y Jing, M Song
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7871 …, 2021
22021
Towards deeper insights into deep learning from imbalanced data
J Song, Y Shen, Y Jing, M Song
CCF Chinese Conference on Computer Vision, 674-684, 2017
22017
Graph-based Color Gamut Mapping using Neighbor Metric
Z Feng, Y Jing, C Zhang, R Xu, J Lei, M Song
Multimedia and Expo (ICME), 2017 IEEE International Conference on, 1195-1200, 2017
2017
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