Ruiming Cao

Orcid: 0000-0002-0936-114X

According to our database1, Ruiming Cao authored at least 16 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras.
CoRR, 2024

2022
Dynamic Structured Illumination Microscopy with a Neural Space-time Model.
Proceedings of the IEEE International Conference on Computational Photography, 2022

2021
Extraction of an Explanatory Graph to Interpret a CNN.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2019
Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning.
PhD thesis, 2019

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.
IEEE Trans. Medical Imaging, 2019

Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach.
Inf., 2019

Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Explanatory Graphs for CNNs.
CoRR, 2018

Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering.
CoRR, 2018

Interpreting CNN Knowledge via an Explanatory Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Interactively Transferring CNN Patterns for Part Localization.
CoRR, 2017

Mining Object Parts from CNNs via Active Question-Answering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-Shot Mining Semantic Part Concepts in CNNs.
CoRR, 2016


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