Shuai Li

Orcid: 0000-0003-0760-5267

Affiliations:
  • Hongkong Polytechnic University


According to our database1, Shuai Li authored at least 23 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
One-Stage Visual Relationship Referring With Transformers and Adaptive Message Passing.
IEEE Trans. Image Process., 2023

Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation.
Proc. ACM Manag. Data, 2023

One-to-Few Label Assignment for End-to-End Dense Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards Robust 2D Convolution for Reliable Visual Recognition.
CoRR, 2022

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Dual Weighting Label Assignment Scheme for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Black-box Attacks on Deep Learning Apps.
CoRR, 2021

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners.
CoRR, 2021

Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
LDFR: Learning deep feature representation for software defect prediction.
J. Syst. Softw., 2019

TSTSS: A two-stage training subset selection framework for cross version defect prediction.
J. Syst. Softw., 2019

Real-virtual consistent traffic flow interaction.
Graph. Model., 2019

Energy-Efficient Analog Frond-End Design for Ultrasound Imaging Applications.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Dynamic Anchor Feature Selection for Single-Shot Object Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Source Model and Stress Disturbance of the 2017 Jiuzhaigou Mw 6.5 Earthquake Constrained by InSAR and GPS Measurements.
Remote. Sens., 2018

HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning.
IEEE Access, 2018

Cross version defect prediction with representative data via sparse subset selection.
Proceedings of the 26th Conference on Program Comprehension, 2018

2017
Interactive traffic simulation model with learned local parameters.
Multim. Tools Appl., 2017

2008
Extended MRI-Cube Algorithm for Mining Multi-Relational Patterns.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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