Articles with public access mandates - Shunzhou WangLearn more
Not available anywhere: 14
Matnet: Motion-attentive transition network for zero-shot video object segmentation
T Zhou, J Li, S Wang, R Tao, J Shen
IEEE Transactions on Image Processing 29, 8326-8338, 2020
Mandates: National Natural Science Foundation of China
GAIM: Graph attention interaction model for collective activity recognition
L Lu, Y Lu, R Yu, H Di, L Zhang, S Wang
IEEE Transactions on Multimedia 22 (2), 524-539, 2019
Mandates: National Natural Science Foundation of China
Contextual transformation network for lightweight remote-sensing image super-resolution
S Wang, T Zhou, Y Lu, H Di
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021
Mandates: National Natural Science Foundation of China
SCLNet: Spatial context learning network for congested crowd counting
S Wang, Y Lu, T Zhou, H Di, L Lu, L Zhang
Neurocomputing 404, 227-239, 2020
Mandates: National Natural Science Foundation of China
A two-level attention-based interaction model for multi-person activity recognition
L Lu, H Di, Y Lu, L Zhang, S Wang
Neurocomputing 322, 195-205, 2018
Mandates: National Natural Science Foundation of China
Single image super-resolution with attention-based densely connected module
Z Wang, Y Lu, W Li, S Wang, X Wang, X Chen
Neurocomputing 453, 876-884, 2021
Mandates: National Natural Science Foundation of China
Spatio-temporal attention mechanisms based model for collective activity recognition
L Lu, H Di, Y Lu, L Zhang, S Wang
Signal Processing: Image Communication 74, 162-174, 2019
Mandates: National Natural Science Foundation of China
Cross-domain scene text detection via pixel and image-level adaptation
D Chen, L Lu, Y Lu, R Yu, S Wang, L Zhang, T Liu
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
Mandates: National Natural Science Foundation of China
Rsanet: Deep recurrent scale-aware network for crowd counting
Y Xie, Y Lu, S Wang
2020 IEEE International Conference on Image Processing (ICIP), 1531-1535, 2020
Mandates: National Natural Science Foundation of China
Local-global feature aggregation for light field image super-resolution
Y Wang, Y Lu, S Wang, W Zhang, Z Wang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Mandates: National Natural Science Foundation of China
Multimodal unsupervised image-to-image translation without independent style encoder
Y Sun, Y Lu, H Lu, Q Zhao, S Wang
International Conference on Multimedia Modeling, 624-636, 2022
Mandates: National Natural Science Foundation of China
Saf: Semantic attention fusion mechanism for pedestrian detection
R Yu, S Wang, Y Lu, H Di, L Zhang, L Lu
PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019
Mandates: National Natural Science Foundation of China
Scale-aware distillation network for lightweight image super-resolution
H Lu, Y Lu, G Li, Y Sun, S Wang, Y Li
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 128-139, 2021
Mandates: National Natural Science Foundation of China
Blind Super-Resolution with Kernel-Aware Feature Refinement
Z Wu, Y Lu, G Li, S Wang, X Wang, Z Wang
Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020 …, 2020
Mandates: National Natural Science Foundation of China
Available somewhere: 3
Motion-attentive transition for zero-shot video object segmentation
T Zhou, S Wang, Y Zhou, Y Yao, J Li, L Shao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 13066 …, 2020
Mandates: National Natural Science Foundation of China
Detail-preserving transformer for light field image super-resolution
S Wang, T Zhou, Y Lu, H Di
Proceedings of the AAAI conference on artificial intelligence 36 (3), 2522-2530, 2022
Mandates: National Natural Science Foundation of China
NTIRE 2023 challenge on light field image super-resolution: Dataset, methods and results
Y Wang, L Wang, Z Liang, J Yang, R Timofte, Y Guo, K Jin, Z Wei, A Yang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: National Natural Science Foundation of China
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