Články se zplnomocněním k veřejnému přístupu - Shuaicheng LiuDalší informace
Nedostupné nikde: 15
Meshflow: Minimum latency online video stabilization
S Liu, P Tan, L Yuan, J Sun, B Zeng
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada, National …
Content-Aware Unsupervised Deep Homography Estimation and its Extensions
S Liu, N Ye, C Wang, J Zhang, L Jia, K Luo, J Wang, J Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2849-2863, 2022
Zplnomocnění: National Natural Science Foundation of China
Unsupervised Global and Local Homography Estimation With Motion Basis Learning
S Liu, Y Lu, H Jiang, N Ye, C Wang, B Zeng
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7885-7899, 2022
Zplnomocnění: National Natural Science Foundation of China
MMSE-directed linear image interpolation based on nonlocal geometric similarity
S Zhu, Z He, S Liu, B Zeng
IEEE Signal Processing Letters 24 (8), 1178-1182, 2017
Zplnomocnění: National Natural Science Foundation of China
Hierarchical region proposal refinement network for weakly supervised object detection
M Zhang, S Liu, B Zeng
2021 IEEE International Conference on Image Processing (ICIP), 669-673, 2021
Zplnomocnění: National Natural Science Foundation of China
A new single-view 3D pantograph reconstruction aided by prior CAD model
T Sun, G Liu, J Peng, F Meng, S Liu, S Zhu
Measurement 181, 109615, 2021
Zplnomocnění: National Natural Science Foundation of China
Endoscopic video deblurring via synthesis
L Peng, S Liu, D Xie, S Zhu, B Zeng
2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017
Zplnomocnění: National Natural Science Foundation of China
Dynamic updating self-training for semi-weakly supervised object detection
M Zhang, S Liu, B Zeng
Neurocomputing 547, 126375, 2023
Zplnomocnění: National Natural Science Foundation of China
PBR-GAN: Imitating Physically Based Rendering with Generative Adversarial Networks
R Li, P Dai, G Liu, S Zhang, B Zeng, S Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2023
Zplnomocnění: National Natural Science Foundation of China
GLM-Net: Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure
Y Yang, Y Xiang, S Liu, L Wu, B Zhao, B Zeng
ACM Multimedia 2021; Code: https://github.com/BJUT-VIP/GLM-Net-Global-and …, 2021
Zplnomocnění: National Natural Science Foundation of China
GLOCAL: A self-supervised learning framework for global and local motion estimation
Y Zheng, K Luo, S Liu, Z Li, Y Xiang, L Wu, B Zeng, CW Chen
Pattern Recognition Letters 178, 91-97, 2024
Zplnomocnění: National Natural Science Foundation of China
PointRegGPT: Boosting 3D Point Cloud Registration Using Generative Point-Cloud Pairs for Training
S Chen, H Xu, H Li, K Luo, G Liu, CW Fu, P Tan, S Liu
European Conference on Computer Vision, 272-289, 2024
Zplnomocnění: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Block-based Image Coding by Compression-Constrained Transform Domain Down-Scaling
C Cui, S Zhu, X Meng, S Liu, B Zeng
2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018
Zplnomocnění: National Natural Science Foundation of China
Multi-exposure Fusion With JPEG Compression Guidance
X Zhang, S Liu, S Zhu, B Zeng
2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018
Zplnomocnění: National Natural Science Foundation of China
Uncertain Region Identification for Stereoscopic Foreground Cutout
T Yang, S Liu, C Sun, Z Wang, B Zeng
Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017
Zplnomocnění: National Natural Science Foundation of China
Dostupné někde: 86
Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image
J Qiu, Z Cui, Y Zhang, X Zhang, S Liu, B Zeng, M Pollefeys
CVPR2019; Code: https://github.com/JiaxiongQ/DeepLiDAR, 3313-3322, 2019
Zplnomocnění: National Natural Science Foundation of China
Practical stereo matching via cascaded recurrent network with adaptive correlation
J Li, P Wang, P Xiong, T Cai, Z Yan, L Yang, J Liu, H Fan, S Liu
CVPR2022;Code: https://github.com/megvii-research/CREStereo, 16263-16272, 2022
Zplnomocnění: National Natural Science Foundation of China
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
S Cheng, Y Wang, H Huang, D Liu, H Fan, S Liu
CVPR2021; Code: https://github.com/megvii-research/NBNet, 4896-4906, 2021
Zplnomocnění: National Natural Science Foundation of China
A hierarchical approach for rain or snow removing in a single color image
Y Wang, S Liu, C Chen, B Zeng
IEEE Transactions on Image Processing 26 (8), 3936-3950, 2017
Zplnomocnění: National Natural Science Foundation of China
Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
L Nie, C Lin, K Liao, S Liu, Y Zhao
IEEE TIP; Code: https://github.com/nie-lang/UnsupervisedDeepImageStitching …, 2021
Zplnomocnění: National Natural Science Foundation of China
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