Mengjie Hu

According to our database1, Mengjie Hu authored at least 15 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Memory-based event-triggered asynchronous control for semi-Markov switching systems.
Appl. Math. Comput., 2022

2021
Hier R-CNN: Instance-Level Human Parts Detection and A New Benchmark.
IEEE Trans. Image Process., 2021

Learning Point-Guided Localization for Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma.
BMC Medical Imaging, 2021

CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
Nomogram to identify severe coronavirus disease 2019 (COVID-19) based on initial clinical and CT characteristics: a multi-center study.
BMC Medical Imaging, 2020

Learning to Recognize Chest-Xray Images Faster and More Efficiently Based on Multi-Kernel Depthwise Convolution.
IEEE Access, 2020

Renovating Parsing R-CNN for Accurate Multiple Human Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Attention Inspiring Receptive-Fields Network for Learning Invariant Representations.
IEEE Trans. Neural Networks Learn. Syst., 2019

High-speed Railway Fastener Detection and Localization Method based on convolutional neural network.
CoRR, 2019

Real-Time Tunnel Crack Analysis System via Deep Learning.
IEEE Access, 2019

2018
Cross Connected Network for Efficient Image Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Robust object tracking via multi-cue fusion.
Signal Process., 2017

An improved strategy for Z source inverter.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2015
3-D Object Recognition via Aspect Graph Aware 3-D Object Representation.
IEEE Signal Process. Lett., 2015


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