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Shuai Li
Shuai Li
Verified email at connect.polyu.hk
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Cited by
Year
Voxel set transformer: A set-to-set approach to 3d object detection from point clouds
C He, R Li, S Li, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1252022
A dual weighting label assignment scheme for object detection
S Li, C He, R Li, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
712022
Class-balanced pixel-level self-labeling for domain adaptive semantic segmentation
R Li, S Li, C He, Y Zhang, X Jia, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
692022
Dynamic anchor feature selection for single-shot object detection
S Li, L Yang, J Huang, XS Hua, L Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
662019
Spatial feature calibration and temporal fusion for effective one-stage video instance segmentation
M Li, S Li, L Li, L Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
592021
LDFR: Learning deep feature representation for software defect prediction
Z Xu, S Li, J Xu, J Liu, X Luo, Y Zhang, T Zhang, J Keung, Y Tang
Journal of Systems and Software 158, 110402, 2019
532019
Cross version defect prediction with representative data via sparse subset selection
Z Xu, S Li, Y Tang, X Luo, T Zhang, J Liu, J Xu
Proceedings of the 26th Conference on program comprehension, 132-143, 2018
402018
TSTSS: A two-stage training subset selection framework for cross version defect prediction
Z Xu, S Li, X Luo, J Liu, T Zhang, Y Tang, J Xu, P Yuan, J Keung
Journal of Systems and Software 154, 59-78, 2019
382019
Category dictionary guided unsupervised domain adaptation for object detection
S Li, J Huang, XS Hua, L Zhang
Proceedings of the AAAI conference on artificial intelligence 35 (3), 1949-1957, 2021
362021
HDA: Cross-project defect prediction via heterogeneous domain adaptation with dictionary learning
Z Xu, P Yuan, T Zhang, Y Tang, S Li, Z Xia
IEEE access 6, 57597-57613, 2018
352018
Semi-supervised models are strong unsupervised domain adaptation learners
Y Zhang, H Zhang, B Deng, S Li, K Jia, L Zhang
arXiv preprint arXiv:2106.00417, 2021
252021
Lst-net: Learning a convolutional neural network with a learnable sparse transform
L Li, K Wang, S Li, X Feng, L Zhang
European Conference on Computer Vision, 562-579, 2020
122020
DynaMask: dynamic mask selection for instance segmentation
R Li, C He, S Li, Y Zhang, L Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
One-to-few label assignment for end-to-end dense detection
S Li, M Li, R Li, C He, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
72023
Fpr: False positive rectification for weakly supervised semantic segmentation
L Chen, C Lei, R Li, S Li, Z Zhang, L Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
Mdqe: Mining discriminative query embeddings to segment occluded instances on challenging videos
M Li, S Li, W Xiang, L Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
Towards Black-box Attacks on Deep Learning Apps
H Cao, S Li, Y Zhou, M Fan, X Zhao, Y Tang
arXiv preprint arXiv:2107.12732, 2021
52021
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
R Wu, T Yang, L Sun, Z Zhang, S Li, L Zhang
arXiv preprint arXiv:2311.16518, 2023
42023
Msf: Motion-guided sequential fusion for efficient 3d object detection from point cloud sequences
C He, R Li, Y Zhang, S Li, L Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation
F Wang, X Yan, ML Yiu, S Li, Z Mao, B Tang
Proceedings of the ACM on Management of Data 1 (1), 1-25, 2023
32023
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