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Tiancheng Shen
Tiancheng Shen
Verified email at pku.edu.cn
Title
Cited by
Cited by
Year
Convolutional neural networks with alternately updated clique
Y Yang, Z Zhong, T Shen, Z Lin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1332018
Spatial pyramid based graph reasoning for semantic segmentation
X Li, Y Yang, Q Zhao, T Shen, Z Lin, H Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1292020
Joint sub-bands learning with clique structures for wavelet domain super-resolution
Z Zhong, T Shen, Y Yang, Z Lin, C Zhang
Advances in neural information processing systems 31, 2018
582018
Efficientnerf efficient neural radiance fields
T Hu, S Liu, Y Chen, T Shen, J Jia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
182022
Dynamical system inspired adaptive time stepping controller for residual network families
Y Yang, J Wu, H Li, X Li, T Shen, Z Lin
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6648-6655, 2020
182020
R-Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal
T Shen, X Li, Z Zhong, J Wu, Z Lin
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
102019
PDO-eS2CNNs: Partial differential operator based equivariant spherical CNNs
Z Shen, T Shen, Z Lin, J Ma
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9585-9593, 2021
52021
High quality segmentation for ultra high-resolution images
T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Fine-Grained Entity Segmentation
L Qi, J Kuen, W Guo, T Shen, J Gu, W Li, J Jia, Z Lin, MH Yang
arXiv preprint arXiv:2211.05776, 2022
12022
Recurrent learning with clique structures for prostate sparse‐view CT artifacts reduction
T Shen, Y Yang, Z Lin, M Zhang
IET Image Processing 15 (3), 648-655, 2021
12021
Supplementary Material for Efficient Neural Radiance Fields
T Hu, S Liu, Y Chen, T Shen, J Jia
High Quality Segmentation for Ultra High-resolution Images Supplementary Material
T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia
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