Greg Mori

Greg Mori

Simon Fraser University

H-index: 65

North America-Canada

About Greg Mori

Greg Mori, With an exceptional h-index of 65 and a recent h-index of 46 (since 2020), a distinguished researcher at Simon Fraser University, specializes in the field of computer vision, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pretext Training Algorithms for Event Sequence Data

OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis

Embodied Human Activity Recognition

Message from the General and Program Chairs

Artificial neural network for data imbalanced regression and method for training same

TD-GEN: graph generation using tree decomposition

Filtered-cophy: Unsupervised learning of counterfactual physics in pixel space

Rethinking learning approaches for long-term action anticipation

Greg Mori Information

University

Position

Research Director Borealis AI; Professor School of Computing Science

Citations(all)

20272

Citations(since 2020)

7999

Cited By

14813

hIndex(all)

65

hIndex(since 2020)

46

i10Index(all)

139

i10Index(since 2020)

105

Email

University Profile Page

Simon Fraser University

Google Scholar

View Google Scholar Profile

Greg Mori Skills & Research Interests

computer vision

machine learning

Top articles of Greg Mori

Title

Journal

Author(s)

Publication Date

Pretext Training Algorithms for Event Sequence Data

arXiv preprint arXiv:2402.10392

Yimu Wang

He Zhao

Ruizhi Deng

Frederick Tung

Greg Mori

2024/2/16

OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis

arXiv preprint arXiv:2402.01955

Lilian W Bialokozowicz

Hoang M Le

Tristan Sylvain

Peter AI Forsyth

Vineel Nagisetty

...

2024/2/2

Embodied Human Activity Recognition

Sha Hu

Yu Gong

Greg Mori

2024

Message from the General and Program Chairs

Proceedings-2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022

Kevin Bowyer

Gérard Medioni

Walter Scheirer

Saket Anand

Ryan Farrell

...

2022

Artificial neural network for data imbalanced regression and method for training same

2023/7/6

TD-GEN: graph generation using tree decomposition

Hamed Shirzad

Hossein Hajimirsadeghi

Amir H Abdi

Greg Mori

2022/5/3

Filtered-cophy: Unsupervised learning of counterfactual physics in pixel space

arXiv preprint arXiv:2202.00368

Steeven Janny

Fabien Baradel

Natalia Neverova

Madiha Nadri

Greg Mori

...

2022/2/1

Rethinking learning approaches for long-term action anticipation

Megha Nawhal

Akash Abdu Jyothi

Greg Mori

2022/10/22

Continuous-time Particle Filtering for Latent Stochastic Differential Equations

arXiv preprint arXiv:2209.00173

Ruizhi Deng

Greg Mori

Andreas M Lehrmann

2022/9/1

Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification

João Monteiro

Mohamed Osama Ahmed

Hoseein Hajimirsadeghi

Greg Mori

2022/8/17

Ranksim: Ranking similarity regularization for deep imbalanced regression

arXiv preprint arXiv:2205.15236

Yu Gong

Greg Mori

Frederick Tung

2022/5/30

Variational selective autoencoder: Learning from partially-observed heterogeneous data

Yu Gong

Hossein Hajimirsadeghi

Jiawei He

Thibaut Durand

Greg Mori

2021/3/18

Monotonicity as a requirement and as a regularizer: efficient methods and applications

Joao Monteiro

Mohamed Osama Ahmed

Hossein Hajimirsadeghi

Greg Mori

2021/10/6

Activity graph transformer for temporal action localization

arXiv preprint arXiv:2101.08540

Megha Nawhal

Greg Mori

2021/1/21

D3d-hoi: Dynamic 3d human-object interactions from videos

arXiv preprint arXiv:2108.08420

Xiang Xu

Hanbyul Joo

Greg Mori

Manolis Savva

2021/8/19

Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation.

BMVC 2021

Lei Chen

Mengyao Zhai

Greg Mori

2021

TD-GEN: Graph Generation With Tree Decomposition

arXiv preprint arXiv:2106.10656

Hamed Shirzad

Hossein Hajimirsadeghi

Amir H Abdi

Greg Mori

2021/6/20

Continuous latent process flows

Ruizhi Deng

Marcus A Brubaker

Greg Mori

Andreas M Lehrmann

2021/12

Hyper-lifelonggan: Scalable lifelong learning for image conditioned generation

Mengyao Zhai

Lei Chen

Greg Mori

2021/6

Neural fidelity warping for efficient robot morphology design

Sha Hu

Zeshi Yang

Greg Mori

2020/12/8

See List of Professors in Greg Mori University(Simon Fraser University)