Ruiming Cao

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

AAAI

Inf.

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Ruiming Cao, Dekel Galor, Amit P. S. Kohli, Jacob L. Yates, Laura Waller
Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras. CoRR (2024)
Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller
Dynamic Structured Illumination Microscopy with a Neural Space-time Model. CoRR (2022)
Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller
Dynamic Structured Illumination Microscopy with a Neural Space-time Model. ICCP (2022)
Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu
Extraction of an Explanatory Graph to Interpret a CNN. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Trans. Medical Imaging 38 (11) (2019)
Xinwei Ma, Ruiming Cao, Yuchuan Jin
Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach. Inf. 10 (5) (2019)
Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. CoRR (2019)
Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops (2019)
Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. ISBI (2019)
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. CoRR (2018)
Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu
Interpreting CNN Knowledge via an Explanatory Graph. AAAI (2018)
Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu
Explanatory Graphs for CNNs. CoRR (2018)
Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu
Interpreting CNN knowledge via an Explanatory Graph. CoRR (2017)
Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu
Interactively Transferring CNN Patterns for Part Localization. CoRR (2017)
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Mining Object Parts from CNNs via Active Question-Answering. CVPR (2017)
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. AAAI (2017)
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Mining Object Parts from CNNs via Active Question-Answering. CoRR (2017)
Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
Multi-Shot Mining Semantic Part Concepts in CNNs. CoRR (2016)

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Publication Activity (10 Years)

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Ruiming Cao