Ruiming Cao

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Ruiming Cao, Dekel Galor, Amit P. S. Kohli, Jacob L. Yates, Laura Waller

CoRR, 2024

2022

Dynamic Structured Illumination Microscopy with a Neural Space-time Model.

Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller

Proceedings of the IEEE International Conference on Computational Photography, 2022

2021

Extraction of an Explanatory Graph to Interpret a CNN.

Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering.

Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2019

Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning.

Ruiming Cao

PhD thesis, 2019

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung

IEEE Trans. Medical Imaging, 2019

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

Xinwei Ma, Ruiming Cao, Yuchuan Jin

Inf., 2019

Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.

Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung

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.

Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Explanatory Graphs for CNNs.

Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu

CoRR, 2018

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

Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

CoRR, 2018

Interpreting CNN Knowledge via an Explanatory Graph.

Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Interactively Transferring CNN Patterns for Part Localization.

Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu

CoRR, 2017

Mining Object Parts from CNNs via Active Question-Answering.

Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning.

Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Multi-Shot Mining Semantic Part Concepts in CNNs.

Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

CoRR, 2016