Greg Mori

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 127

Top Venues

CoRR

CVPR

BMVC

ICCV

Publications

Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain, Peter A. I. Forsyth, Vineel Nagisetty, Greg Mori
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis. CoRR (2024)
Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori
Pretext Training Algorithms for Event Sequence Data. CoRR (2024)
Megha Nawhal, Akash Abdu Jyothi, Greg Mori
Rethinking Learning Approaches for Long-Term Action Anticipation. ECCV (34) (2022)
Ruizhi Deng, Greg Mori, Andreas M. Lehrmann
Continuous-time Particle Filtering for Latent Stochastic Differential Equations. CoRR (2022)
Megha Nawhal, Akash Abdu Jyothi, Greg Mori
Rethinking Learning Approaches for Long-Term Action Anticipation. CoRR (2022)
Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR (2022)
Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification. UAI (2022)
Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR (2022)
Yu Gong, Greg Mori, Frederick Tung
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. CoRR (2022)
Yu Gong, Greg Mori, Frederick Tung
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. ICML (2022)
Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori
TD-GEN: Graph Generation Using Tree Decomposition. AISTATS (2022)
Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification. CoRR (2022)
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Adaptive Appearance Rendering. CoRR (2021)
Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
Continuous Latent Process Flows. CoRR (2021)
Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen
MUSE: Feature Self-Distillation with Mutual Information and Self-Information. BMVC (2021)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS (2021)
Sha Hu, Zeshi Yang, Greg Mori
Neural fidelity warping for efficient robot morphology design. ICRA (2021)
Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori
TD-GEN: Graph Generation With Tree Decomposition. CoRR (2021)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR (2021)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR (2021)
Xiaobin Chang, Frederick Tung, Greg Mori
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR (2021)
Megha Nawhal, Greg Mori
Activity Graph Transformer for Temporal Action Localization. CoRR (2021)
Lei Chen, Mengyao Zhai, Greg Mori
Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation. BMVC (2021)
Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
Continuous Latent Process Flows. NeurIPS (2021)
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. CoRR (2021)
Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen
MUSE: Feature Self-Distillation with Mutual Information and Self-Information. CoRR (2021)
Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva
D3D-HOI: Dynamic 3D Human-Object Interactions from Videos. CoRR (2021)
Mengyao Zhai, Lei Chen, Greg Mori
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation. CVPR (2021)
Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
Relational Graph Learning for Crowd Navigation. IROS (2020)
Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa
House-GAN: Relational Generative Adversarial Networks for Graph-Constrained House Layout Generation. ECCV (1) (2020)
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
CoPhy: Counterfactual Learning of Physical Dynamics. ICLR (2020)
Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation. CoRR (2020)
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker
Variational Hyper RNN for Sequence Modeling. CoRR (2020)
C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler
Guest Editorial: Special Issue on ACCV 2018. Int. J. Comput. Vis. 128 (4) (2020)
Frederick Tung, Greg Mori
Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 42 (3) (2020)
Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
Adapting Grad-CAM for Embedding Networks. CoRR (2020)
Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori
Generating Videos of Zero-Shot Compositions of Actions and Objects. ECCV (12) (2020)
Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori
Adapting Grad-CAM for Embedding Networks. WACV (2020)
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. CoRR (2020)
Sha Hu, Zeshi Yang, Greg Mori
Neural fidelity warping for efficient robot morphology design. CoRR (2020)
Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva
MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. CoRR (2020)
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Structured Label Inference for Visual Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. ECCV (21) (2020)
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. NeurIPS (2020)
Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
Lifelong GAN: Continual Learning for Conditional Image Generation. CoRR (2019)
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR (2019)
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR (2019)
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR (2019)
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR (2019)
Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas M. Lehrmann
Variational Autoencoders with Jointly Optimized Latent Dependency Structure. ICLR (Poster) (2019)
Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori
Continuous Graph Flow for Flexible Density Estimation. CoRR (2019)
Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori
Object Grounding via Iterative Context Reasoning. ICCV Workshops (2019)
Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori
Graph Generation with Variational Recurrent Neural Network. CoRR (2019)
Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori
Lifelong GAN: Continual Learning for Conditional Image Generation. ICCV (2019)
Zhiwei Deng, Greg Mori
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference. CoRR (2019)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori
Variational Selective Autoencoder. AABI (2019)
Frederick Tung, Greg Mori
Similarity-Preserving Knowledge Distillation. ICCV (2019)
Megha Nawhal, Jacqueline B. Lang, Greg Mori, Parmit K. Chilana
VideoWhiz: Non-Linear Interactive Overviews for Recipe Videos. Graphics Interface (2019)
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori
Point Process Flows. CoRR (2019)
Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
Relational Graph Learning for Crowd Navigation. CoRR (2019)
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV (2019)
Frederick Tung, Greg Mori
Similarity-Preserving Knowledge Distillation. CoRR (2019)
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR (2019)
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
COPHY: Counterfactual Learning of Physical Dynamics. CoRR (2019)
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
Object Level Visual Reasoning in Videos. CoRR (2018)
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. Int. J. Comput. Vis. 126 (2-4) (2018)
Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori
Constraint-Aware Deep Neural Network Compression. ECCV (8) (2018)
Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) (2018)
Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Connected Convolutional Networks. CoRR (2018)
Mengyao Zhai, Lei Chen, Greg Mori, Mehrsan Javan Roshtkhari
Deep Learning of Appearance Models for Online Object Tracking. ECCV Workshops (4) (2018)
Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori
Generic Tubelet Proposals for Action Localization. WACV (2018)
Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori
Probabilistic Neural Programmed Networks for Scene Generation. NeurIPS (2018)
Mostafa S. Ibrahim, Greg Mori
Hierarchical Relational Networks for Group Activity Recognition and Retrieval. ECCV (3) (2018)
Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Structured Label Inference for Visual Understanding. CoRR (2018)
Frederick Tung, Greg Mori
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR (2018)
Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink, Greg Mori, Rahul Sukthankar
Guest Editorial. Comput. Vis. Image Underst. 173 (2018)
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Aggregated Convolutional Networks. ECCV (12) (2018)
Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori
Adaptive Appearance Rendering. BMVC (2018)
Arash Mehrjou, Mehran Khodabandeh, Greg Mori
Distribution Aware Active Learning. CoRR (2018)
Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
Probabilistic Video Generation using Holistic Attribute Control. CoRR (2018)
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV (2018)
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
Object Level Visual Reasoning in Videos. ECCV (13) (2018)
Yatao Zhong, Bicheng Xu, Guang-Tong Zhou, Luke Bornn, Greg Mori
Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction. CoRR (2018)
Zhiwei Deng, Rajitha Navarathna, Peter Carr, Stephan Mandt, Yisong Yue, Iain A. Matthews, Greg Mori
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. CVPR (2017)
Jiawei He, Mostafa S. Ibrahim, Zhiwei Deng, Greg Mori
Generic Tubelet Proposals for Action Localization. CoRR (2017)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CoRR (2017)
Frederick Tung, Srikanth Muralidharan, Greg Mori
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. CoRR (2017)
Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering. CoRR (2017)
Karoon Rashedi Nia, Greg Mori
Building Damage Assessment Using Deep Learning and Ground-Level Image Data. CRV (2017)
Frederick Tung, Srikanth Muralidharan, Greg Mori
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC (2017)
Nelson Nauata, Jonathan Smith, Greg Mori
Hierarchical Label Inference for Video Classification. CoRR (2017)
Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori
Learning Person Trajectory Representations for Team Activity Analysis. CoRR (2017)
Hossein Hajimirsadeghi, Greg Mori
Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (9) (2017)
Lei Chen, Mengyao Zhai, Greg Mori
Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video. ICCV Workshops (2017)
Omar Aziz, Magnus Musngi, Edward J. Park, Greg Mori, Stephen N. Robinovitch
A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials. Medical Biol. Eng. Comput. 55 (1) (2017)
Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori
LabelBank: Revisiting Global Perspectives for Semantic Segmentation. CoRR (2017)
Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim, Shin'ichi Satoh, Greg Mori
Active Learning for Structured Prediction from Partially Labeled Data. CoRR (2017)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CVPR (2017)
Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori
Deep Learning of Appearance Models for Online Object Tracking. CoRR (2016)
Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori
Learning Structured Inference Neural Networks with Label Relations. CVPR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Greg Mori