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IEEE Transactions on Pattern Analysis and Machine Intelligence
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August 20, 2019
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Proceedings of the National Academy of Sciences of the United States of America
|
February 17, 2019
Emergence of analogy from relation learning
Hongjing Lu, Ying Nian Wu, Keith J Holyoak
Neural Computation
|
October 16, 2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model
Tian Han, Xianglei Xing, Jiawen Wu, et al.
Biometrics
|
September 11, 2007
ChIP-chip: data, model, and analysis
Ming Zheng, Leah O Barrera, Bing Ren, et al.
Nature Communications
|
June 10, 2016
SURVIV for survival analysis of mRNA isoform variation
Shihao Shen, Yuanyuan Wang, Chengyang Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
April 1, 2020
Interpretable CNNs for Object Classification
Quanshi Zhang, Xin Wang, Ying Nian Wu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging
|
April 7, 2025
DIFFERENTIABLE VQ-VAE'S FOR ROBUST WHITE MATTER STREAMLINE ENCODINGS
Andrew Lizarraga, Brandon Taraku, Edouardo Honig, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 5, 2020
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
Xianglei Xing, Ruiqi Gao, Tian Han, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 26, 2021
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning
Jianwen Xie, Zilong Zheng, Xiaolin Fang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 3, 2018
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie, Yang Lu, Ruiqi Gao, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 20, 2019
Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu
Proceedings of the National Academy of Sciences of the United States of America
|
February 17, 2019
Emergence of analogy from relation learning
Hongjing Lu, Ying Nian Wu, Keith J Holyoak
Neural Computation
|
October 16, 2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model
Tian Han, Xianglei Xing, Jiawen Wu, et al.
Biometrics
|
September 11, 2007
ChIP-chip: data, model, and analysis
Ming Zheng, Leah O Barrera, Bing Ren, et al.
Nature Communications
|
June 10, 2016
SURVIV for survival analysis of mRNA isoform variation
Shihao Shen, Yuanyuan Wang, Chengyang Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
April 1, 2020
Interpretable CNNs for Object Classification
Quanshi Zhang, Xin Wang, Ying Nian Wu, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging
|
April 7, 2025
DIFFERENTIABLE VQ-VAE'S FOR ROBUST WHITE MATTER STREAMLINE ENCODINGS
Andrew Lizarraga, Brandon Taraku, Edouardo Honig, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 5, 2020
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry
Xianglei Xing, Ruiqi Gao, Tian Han, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
March 26, 2021
Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning
Jianwen Xie, Zilong Zheng, Xiaolin Fang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 3, 2018
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie, Yang Lu, Ruiqi Gao, et al.
Page
of 3