Publications

Conference Publications

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong, Hossein Hajimirsadighi, Jiawei He, Thibaut Durand, Greg Mori
International Conference on Artificial Intelligence and Statistics (AISTATS) ‘21

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai, Lei Chen, Jiawei He, Fred Tung, Megha Nawhal, Greg Mori
European Conference on Computer Vision (ECCV) ‘20

LayoutVAE: Stochastic Scene Layout Generation from a Label Set [pdf]
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
International Conference on Computer Vision (ICCV) ‘19

LifelongGAN: Continual Learning for Conditional Image Generation [pdf]
Mengyao Zhai, Lei Chen, Fred Tung, Jiawei He, Megha Nawhal, Greg Mori
International Conference on Computer Vision (ICCV) ‘19

A Variational-Autoencoder Model for Stochastic Point Processes [pdf]
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
Conference on Computer Vision and Pattern Recognition (CVPR) ‘19

Variational Autoencoders with Jointly Optimized Latent Dependency Structure [pdf]
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
International Conference on Learning Representations (ICLR) ‘19

Probabilistic Video Generation using Holistic Attribute Control [pdf]
Jiawei He, Andreas Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
European Conference on Computer Vision (ECCV) ‘18

Generic Tubelet Proposals for Action Localization [pdf]
Jiawei He, Moustafa Ibrahim, Zhiwei Deng, Greg Mori
Winter Conference on Applications of Computer Vision (WACV) ‘18

Workshop Publications & Manuscripts

Arbitrarily-conditioned Data Imputation
Micael Carvalho, Thibaut Durand, Jiawei He, Nazanin Mehrasa, Greg Mori
2nd Symposium on Advances in Approximate Bayesian Inference (AABI)

Improving Sequential Latent Variable Models with Autoregressive Flows (spotlight)
Joseph Marino, Lei Chen, Jiawei He, Stephan Mandt
2nd Symposium on Advances in Approximate Bayesian Inference (AABI)

Variational Selective Autoencoders
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori
2nd Symposium on Advances in Approximate Bayesian Inference (AABI)

Point Process Flows [pdf]
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori
Learning with Temporal Point Processes (NeurIPS ‘19 Workshop)

Object Grounding via Iterative Context Reasoning [pdf]
Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori
Multi-Discipline Approach for Learning Concepts (ICCV ‘19 Workshop)

Informed Priors for Deep Representation Learning [pdf]
Judith Butepage, Jiawei He, Cheng Zhang, Leonid Sigal, Greg Mori, Stephan Mandt
Symposium on Advances in Approximate Bayesian Inference (AABI) ‘18

Variational Latent Dependency Learning [pdf]
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
Bayesian Deep Learning (NeurIPS ‘18 Workshop)