Ruizhi Deng
Title
Cited by
Cited by
Year
Characterizing adversarial examples based on spatial consistency information for semantic segmentation
C Xiao, R Deng, B Li, F Yu, M Liu, D Song
Proceedings of the European Conference on Computer Vision (ECCV), 217-234, 2018
372018
Sparsely aggregated convolutional networks
L Zhu, R Deng, M Maire, Z Deng, G Mori, P Tan
Proceedings of the European Conference on Computer Vision (ECCV), 186-201, 2018
322018
Advit: Adversarial frames identifier based on temporal consistency in videos
C Xiao, R Deng, B Li, T Lee, B Edwards, J Yi, D Song, M Liu, I Molloy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
132019
Modeling continuous stochastic processes with dynamic normalizing flows
R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann
arXiv preprint arXiv:2002.10516, 2020
52020
Point process flows
N Mehrasa, R Deng, MO Ahmed, B Chang, J He, T Durand, M Brubaker, ...
arXiv preprint arXiv:1910.08281, 2019
42019
Sparsely connected convolutional networks
L Zhu, R Deng, Z Deng, G Mori, P Tan
arXiv preprint arXiv:1801.05895, 2018
32018
Learning to forecast videos of human activity with multi-granularity models and adaptive rendering
M Zhai, J Chen, R Deng, L Chen, L Zhu, G Mori
arXiv preprint arXiv:1712.01955, 2017
32017
Adaptive Appearance Rendering.
M Zhai, R Deng, J Chen, L Chen, Z Deng, G Mori
BMVC, 247, 2018
12018
System and method for machine learning architecture with variational hyper-rnn
D Ruizhi, CAO Yanshuai, B Chang, M Brubaker
US Patent App. 16/881,768, 2020
2020
Variational Hyper RNN for Sequence Modeling
R Deng, Y Cao, B Chang, L Sigal, G Mori, MA Brubaker
arXiv preprint arXiv:2002.10501, 2020
2020
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency In Videos (Supplementary Material)
C Xiao, R Deng, B Li, T Lee, B Edwards, J Yi, D Song, M Liu, I Molloy
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows Supplementary Materials
R Deng, B Chang, MA Brubaker, G Mori, A Lehrmann
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Articles 1–12