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PROVIDE: a probabilistic framework for unsupervised video decomposition
PROVIDE: a probabilistic framework for unsupervised video decomposition
P. Zablotskaia, E. A. Dominici, L. Sigal, and A. Lehrmann. The Conference on Uncertainty in Artificial Intelligence (UAI), 2021
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Learning Discriminative Prototypes with Dynamic Time Warping
Learning Discriminative Prototypes with Dynamic Time Warping
X. Chang, F. Tung, and G. Mori. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021
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Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
J. Yu, K. Derpanis, and M. Brubaker. Conference on Neural Information Processing Systems (NeurIPS), 2020
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Learning User Representations for Open Vocabulary Image Hashtag Prediction
Learning User Representations for Open Vocabulary Image Hashtag Prediction
T. Durand. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020
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Adapting Grad-CAM for Embedding Networks
Adapting Grad-CAM for Embedding Networks
L. Chen, J. Chen, H. Hajimirsadeghi, and G. Mori. Winter Conference on Applications of Computer Vision (WACV), 2020
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Generating Videos of Zero-Shot Compositions of Actions and Objects
Generating Videos of Zero-Shot Compositions of Actions and Objects
M. Nawhal, M. Zhai, A. Lehrmann, L. Sigal, and G. Mori. The European Conference on Computer Vision (ECCV), 2019
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Object Grounding via Iterative Context Reasoning
Object Grounding via Iterative Context Reasoning
L. Chen, M. Zhai, J. He, and G. Mori. International Conference on Computer Vision Workshop on Multi-Discipline Approach for Learning Concepts at IEEE International Conference on Computer Vision (ICCV), 2019
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Noise Flow: Noise Modeling with Conditional Normalizing Flows
Noise Flow: Noise Modeling with Conditional Normalizing Flows
A. Abdelhamed, M. Brubaker, and M. S. Brown. International Conference on Computer Vision (ICCV), 2019
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LayoutVAE: Stochastic Scene Layout Generation from a Label Set
LayoutVAE: Stochastic Scene Layout Generation from a Label Set
A. Jyothi, T. Durand, J. He, L. Sigal, and G. Mori. International Conference on Computer Vision (ICCV), 2019
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Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
F. Tung, and G. Mori. International Conference on Computer Vision (ICCV), 2019
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On the Effectiveness of Low Frequency Perturbations
On the Effectiveness of Low Frequency Perturbations
Y. Sharma, G. W. Ding, and M. Brubaker. International Joint Conference on Artificial Intelligence (IJCAI), 2019
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Learning a Deep ConvNet for Multi-label Classification with Partial Labels
Learning a Deep ConvNet for Multi-label Classification with Partial Labels
T. Durand, N. Mehrasa, and G. Mori. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2019
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