Jiawei (Eric) He

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Researcher

PHD COMPUTER SCIENCE, SIMON FRASER UNIVERSITY

Research Areas

Computer Vision

Publications

Feb. 25, 2021 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Authors: Y. Gong, H. Hajimirsadeghi , J. He , T. Durand , G. Mori
Dec. 14, 2019 Point Process Flows
Workshop on Learning with Temporal Point Processes (NeurIPS), 2019
Authors: *N. Mehrasa, *R. Deng, M. O. Ahmed , B. Chang, J. He , T. Durand , M. Brubaker, G. Mori
* Denotes equal contribution
Dec. 8, 2019 Arbitrarily-conditioned Data Imputation
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: M. Carvalho, T. Durand , J. He , N. Mehrasa, G. Mori
Dec. 8, 2019 Variational Selective Autoencoder
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: *Y. Gong, H. Hajimirsadeghi , *J. He , *M. Nawhal, T. Durand , *G. Mori
* Denotes equal contribution
Oct. 27, 2019 LayoutVAE: Stochastic Scene Layout Generation from a Label Set
International Conference on Computer Vision (ICCV), 2019
Authors: A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
Oct. 27, 2019 Lifelong GAN: Continual Learning for Conditional Image Generation
International Conference on Computer Vision (ICCV), 2019
Authors: *M. Zhai, *L. Chen, F. Tung , J. He , M. Nawhal, G. Mori
* Denotes equal contribution
Oct. 27, 2019 Object Grounding via Iterative Context Reasoning
Workshop on Multi-Discipline Approach for Learning Concepts (ICCV), 2019
Authors: L. Chen, M. Zhai, J. He , G. Mori
June 16, 2019 A Variational Auto-Encoder Model for Stochastic Point Process
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Authors: N. Mehrasa, A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
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