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Greg Mori

50 papers · 2008–2024 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (10) πŸ† Keyword Champion (3) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (62) πŸš€ Conference Pioneer πŸ’Ž Century Club (50)

Conferences

CVPR (14) NIPS (10) ECCV (9) ICCV (8) ICLR (3) AISTATS (2) WACV (2) ICML (1) UAI (1)

Top co-authors

Jiawei He (7) Arash Vahdat (7) Leonid Sigal (6) Zhiwei Deng (6) Frederick Tung (6) Yang Wang (5) Hossein Hajimirsadeghi (5) Andreas Lehrmann (5) Tian Lan (5) Lei Chen (4)

Research topics

Core AI (2) Techniques (1) Analysis (1)

Keywords

latent variable model (6) latent svm (4) latent variable (4) support vector machine (4) image classification (4) action recognition (3) variational autoencoder (3) structured prediction (3) group activity recognition (3) neural network (3) reinforcement learning (3) latent representation (3) variational inference (2) hidden conditional random fields (2) activity recognition (2) weakly-supervised learning (2) structured learning (2) representation learning (2) catastrophic forgetting (2) video understanding (2)

Papers

Embodied Human Activity Recognition WACV 2024
Rethinking Learning Approaches for Long-Term Action Anticipation ECCV 2022
TD-GEN: Graph Generation Using Tree Decomposition AISTATS 2022
Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification UAI 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression ICML 2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space ICLR 2022
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation CVPR 2021
Continuous Latent Process Flows NIPS 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation ECCV 2020
Adapting Grad-CAM for Embedding Networks WACV 2020
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation ECCV 2020
CoPhy: Counterfactual Learning of Physical Dynamics ICLR 2020
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NIPS 2020
Generating Videos of Zero-Shot Compositions of Actions and Objects ECCV 2020
Variational Autoencoders with Jointly Optimized Latent Dependency Structure ICLR 2019
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels CVPR 2019
A Variational Auto-Encoder Model for Stochastic Point Processes CVPR 2019
Similarity-Preserving Knowledge Distillation ICCV 2019
Lifelong GAN: Continual Learning for Conditional Image Generation ICCV 2019
LayoutVAE: Stochastic Scene Layout Generation From a Label Set ICCV 2019
Sparsely Aggregated Convolutional Networks ECCV 2018
Probabilistic Video Generation using Holistic Attribute Control ECCV 2018
Hierarchical Relational Networks for Group Activity Recognition and Retrieval ECCV 2018
Constraint-Aware Deep Neural Network Compression ECCV 2018
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization CVPR 2018
Probabilistic Neural Programmed Networks for Scene Generation NIPS 2018
Object Level Visual Reasoning in Videos ECCV 2018
Learning to Learn From Noisy Web Videos CVPR 2017
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies CVPR 2017
A Hierarchical Deep Temporal Model for Group Activity Recognition CVPR 2016
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016
Learning Structured Inference Neural Networks With Label Relations CVPR 2016
End-To-End Learning of Action Detection From Frame Glimpses in Videos CVPR 2016
Learning Temporal Embeddings for Complex Video Analysis ICCV 2015
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel CVPR 2015
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015
Handling Uncertain Tags in Visual Recognition ICCV 2013
A Max-Margin Riffled Independence Model for Image Tag Ranking CVPR 2013
Learning Class-to-Image Distance with Object Matchings CVPR 2013
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach ICCV 2013
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization NIPS 2013
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection ICCV 2013
Latent Maximum Margin Clustering NIPS 2013
Kernel Latent SVM for Visual Recognition NIPS 2012
Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009
Learning a discriminative hidden part model for human action recognition NIPS 2008