Miaojing Shi

Orcid: 0000-0002-4933-0073

According to our database1, Miaojing Shi authored at least 60 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Automated Grading and Feedback Tools for Programming Education: A Systematic Review.
ACM Trans. Comput. Educ., March, 2024

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning.
CoRR, 2024

AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution Image.
CoRR, 2024

Multitask Learning in Minimally Invasive Surgical Vision: A Review.
CoRR, 2024

2023
Space-time video super-resolution using long-term temporal feature aggregation.
Auton. Intell. Syst., December, 2023

Distilling base-and-meta network with contrastive learning for few-shot semantic segmentation.
Auton. Intell. Syst., December, 2023

Facial Video-Based Remote Physiological Measurement via Self-Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Redesigning Multi-Scale Neural Network for Crowd Counting.
IEEE Trans. Image Process., 2023

TreeFormer: A Semi-Supervised Transformer-Based Framework for Tree Counting From a Single High-Resolution Image.
IEEE Trans. Geosci. Remote. Sens., 2023

Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation.
CoRR, 2023

VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation.
CoRR, 2023

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training.
CoRR, 2023

SegMatch: A semi-supervised learning method for surgical instrument segmentation.
CoRR, 2023

When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review.
CoRR, 2023

LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation.
CoRR, 2023

Text Promptable Surgical Instrument Segmentation with Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Machine Learning-Based Automated Grading and Feedback Tools for Programming: A Meta-Analysis.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Domain-General Crowd Counting in Unseen Scenarios.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dam Reservoir Extraction From Remote Sensing Imagery Using Tailored Metric Learning Strategies.
IEEE Trans. Geosci. Remote. Sens., 2022

MFNet: Multiclass Few-Shot Segmentation Network With Pixel-Wise Metric Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Discovering regression-detection bi-knowledge transfer for unsupervised cross-domain crowd counting.
Neurocomputing, 2022

Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations.
CoRR, 2022

α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling.
CoRR, 2022

Video-based Remote Physiological Measurement via Self-supervised Learning.
CoRR, 2022

Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction.
CoRR, 2022

Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations.
CoRR, 2022

A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Training object detectors from few weakly-labeled and many unlabeled images.
Pattern Recognit., 2021

MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning.
CoRR, 2021

Fast Fourier Intrinsic Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Detecting Human-Object Interaction with Mixed Supervision.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Learning to Recommend Items to Wikidata Editors.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

2020
Friend recommendation for cross marketing in online brand community based on intelligent attention allocation link prediction algorithm.
Expert Syst. Appl., 2020

Restoring Negative Information in Few-Shot Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Defending Adversarial Examples via DNN Bottleneck Reinforcement.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Active Crowd Counting with Limited Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Select the potential brand spokesperson on social network based on the smart link prediction.
J. Intell. Fuzzy Syst., 2019

A Selective Biogeography-Based Optimizer Considering Resource Allocation for Large-Scale Global Optimization.
Comput. Intell. Neurosci., 2019

Revisiting Perspective Information for Efficient Crowd Counting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Point in, Box Out: Beyond Counting Persons in Crowds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Perspective-Aware CNN For Crowd Counting.
CoRR, 2018

Crowd Counting via Scale-Adaptive Convolutional Neural Network.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Weakly Supervised Object Localization Using Things and Stuff Transfer.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
DCT Inspired Feature Transform for Image Retrieval and Reconstruction.
IEEE Trans. Image Process., 2016

Weakly Supervised Object Localization Using Size Estimates.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Database Saliency for Fast Image Retrieval.
IEEE Trans. Multim., 2015

Exploring Spatial Correlation for Visual Object Retrieval.
ACM Trans. Intell. Syst. Technol., 2015

Supervised Multi-scale Locality Sensitive Hashing.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Early burst detection for memory-efficient image retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
A Group Testing Framework for Similarity Search in High-dimensional Spaces.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Saliency oriented object image re-ranking.
Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014

2013
W-Tree Indexing for Fast Visual Word Generation.
IEEE Trans. Image Process., 2013

C2G2FSnake: automatic tongue image segmentation utilizing prior knowledge.
Sci. China Inf. Sci., 2013

2012
Exploiting visual word co-occurrence for image retrieval.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Intelligent parking guidance system based on wireless sensor networks.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

2011
Fast visual word quantization via spatial neighborhood boosting.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011


  Loading...