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Ruiming Cao
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2020 – today
- 2024
- [i9]Ruiming Cao, Dekel Galor, Amit P. S. Kohli, Jacob L. Yates, Laura Waller:
Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras. CoRR abs/2404.01298 (2024) - 2022
- [c6]Ruiming Cao
, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller:
Dynamic Structured Illumination Microscopy with a Neural Space-time Model. ICCP 2022: 1-12 - [i8]Ruiming Cao
Dynamic Structured Illumination Microscopy with a Neural Space-time Model. CoRR abs/2206.01397 (2022) - 2021
- [j4]Quanshi Zhang
Extraction of an Explanatory Graph to Interpret a CNN. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3863-3877 (2021) - [j3]Quanshi Zhang
Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3949-3963 (2021)
2010 – 2019
- 2019
- [b1]Ruiming Cao:
Prostate Cancer Diagnosis from Multi-parametric Magnetic Resonance Imaging via Deep Learning. University of California, Los Angeles, USA, 2019 - [j2]Xinwei Ma, Ruiming Cao, Yuchuan Jin:
Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach. Inf. 10(5): 163 (2019) - [j1]Ruiming Cao
Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Trans. Medical Imaging 38(11): 2496-2506 (2019) - [c5]Ruiming Cao
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops 2019: 434-439 - [c4]Ruiming Cao
Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. ISBI 2019: 1900-1904 - [i7]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 abs/1910.02185 (2019) - 2018
- [c3]Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu:
Interpreting CNN Knowledge via an Explanatory Graph. AAAI 2018: 4454-4463 - [i6]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. CoRR abs/1812.07996 (2018) - [i5]Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu:
Explanatory Graphs for CNNs. CoRR abs/1812.07997 (2018) - 2017
- [c2]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. AAAI 2017: 2898-2906 - [c1]Quanshi Zhang, Ruiming Cao
Mining Object Parts from CNNs via Active Question-Answering. CVPR 2017: 3890-3899 - [i4]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Mining Object Parts from CNNs via Active Question-Answering. CoRR abs/1704.03173 (2017) - [i3]Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu:
Interactively Transferring CNN Patterns for Part Localization. CoRR abs/1708.01783 (2017) - [i2]Quanshi Zhang, Ruiming Cao, Feng Shi
Interpreting CNN knowledge via an Explanatory Graph. CoRR abs/1708.01785 (2017) - 2016
- [i1]Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu:
Multi-Shot Mining Semantic Part Concepts in CNNs. CoRR abs/1611.04246 (2016)
Coauthor Index
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