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Continuous Latent Process Flows


Jun 29, 2021
Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann


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TD-GEN: Graph Generation With Tree Decomposition


Jun 20, 2021
Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori


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Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation


Apr 24, 2021
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori

* Accepted to ECCV 2020 

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Adaptive Appearance Rendering


Apr 24, 2021
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori

* Accepted to BMVC 2018. arXiv admin note: substantial text overlap with arXiv:1712.01955 

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Learning Discriminative Prototypes with Dynamic Time Warping


Mar 17, 2021
Xiaobin Chang, Frederick Tung, Greg Mori

* CVPR'21 preview, 10 pages, 8 figures 

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Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data


Feb 25, 2021
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori

* International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 

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Activity Graph Transformer for Temporal Action Localization


Jan 28, 2021
Megha Nawhal, Greg Mori

* Project webpage: https://www.sfu.ca/~mnawhal/projects/agt.html; Code available at https://github.com/Nmegha2601/activitygraph_transformer 

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Neural fidelity warping for efficient robot morphology design


Dec 09, 2020
Sha Hu, Zeshi Yang, Greg Mori


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MCMI: Multi-Cycle Image Translation with Mutual Information Constraints


Jul 06, 2020
Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva


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House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation


Mar 16, 2020
Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa


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Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows


Feb 24, 2020
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas Lehrmann


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Variational Hyper RNN for Sequence Modeling


Feb 24, 2020
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker


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Adapting Grad-CAM for Embedding Networks


Jan 17, 2020
Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori

* WACV 2020 camera ready 

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Point Process Flows


Oct 31, 2019
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori


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Graph Generation with Variational Recurrent Neural Network


Oct 02, 2019
Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori


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Relational Graph Learning for Crowd Navigation


Oct 01, 2019
Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva

* In submission to ICRA 2020. Added links to codes and video demo 

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Policy Message Passing: A New Algorithm for Probabilistic Graph Inference


Sep 29, 2019
Zhiwei Deng, Greg Mori


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COPHY: Counterfactual Learning of Physical Dynamics


Sep 26, 2019
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf

* 10 pages 

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Lifelong GAN: Continual Learning for Conditional Image Generation


Aug 22, 2019
Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori

* accepted to ICCV 2019 

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LayoutVAE: Stochastic Scene Layout Generation From a Label Set


Aug 13, 2019
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

* 20 pages, 24 figures, accepted in ICCV 2019 

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Continuous Graph Flow for Flexible Density Estimation


Aug 07, 2019
Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori


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Similarity-Preserving Knowledge Distillation


Aug 01, 2019
Frederick Tung, Greg Mori

* ICCV 2019 camera ready 

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LayoutVAE: Stochastic Scene Layout Generation from a Label Set


Jul 24, 2019
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

* 10 pages, 6 figures, accepted in ICCV 2019 

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A Variational Auto-Encoder Model for Stochastic Point Processes


Apr 05, 2019
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori

* CVPR 19 

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Learning a Deep ConvNet for Multi-label Classification with Partial Labels


Feb 26, 2019
Thibaut Durand, Nazanin Mehrasa, Greg Mori

* CVPR 2019 

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