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Greg Mori
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- affiliation: Simon Fraser University, Burnaby, Canada
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2020 – today
- 2024
- [c127]Sha Hu, Yu Gong, Greg Mori:
Embodied Human Activity Recognition. WACV 2024: 6433-6443 - [i63]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 abs/2402.01955 (2024) - [i62]Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori:
Pretext Training Algorithms for Event Sequence Data. CoRR abs/2402.10392 (2024) - [i61]Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Mohamed Osama Ahmed, Yoshua Bengio, Greg Mori:
Attention as an RNN. CoRR abs/2405.13956 (2024) - 2022
- [c126]Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori:
TD-GEN: Graph Generation Using Tree Decomposition. AISTATS 2022: 5518-5537 - [c125]Megha Nawhal, Akash Abdu Jyothi, Greg Mori:
Rethinking Learning Approaches for Long-Term Action Anticipation. ECCV (34) 2022: 558-576 - [c124]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR 2022 - [c123]Yu Gong, Greg Mori, Frederick Tung:
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. ICML 2022: 7634-7649 - [c122]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: 1381-1391 - [i60]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR abs/2202.00368 (2022) - [i59]Joao Monteiro, Mohamed Osama Ahmed, Hossein Hajimirsadeghi, Greg Mori:
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification. CoRR abs/2205.08247 (2022) - [i58]Yu Gong, Greg Mori, Frederick Tung:
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. CoRR abs/2205.15236 (2022) - [i57]Ruizhi Deng, Greg Mori, Andreas M. Lehrmann:
Continuous-time Particle Filtering for Latent Stochastic Differential Equations. CoRR abs/2209.00173 (2022) - [i56]Megha Nawhal, Akash Abdu Jyothi, Greg Mori:
Rethinking Learning Approaches for Long-Term Action Anticipation. CoRR abs/2210.11566 (2022) - 2021
- [c121]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS 2021: 2377-2385 - [c120]Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen:
MUSE: Feature Self-Distillation with Mutual Information and Self-Information. BMVC 2021: 31 - [c119]Lei Chen, Mengyao Zhai, Greg Mori:
Learning to Predict Convolutional Filters with Guidance for Conditional Image Generation. BMVC 2021: 404 - [c118]Mengyao Zhai, Lei Chen, Greg Mori:
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation. CVPR 2021: 2246-2255 - [c117]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes With Dynamic Time Warping. CVPR 2021: 8395-8404 - [c116]Sha Hu, Zeshi Yang, Greg Mori:
Neural fidelity warping for efficient robot morphology design. ICRA 2021: 7079-7086 - [c115]Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Continuous Latent Process Flows. NeurIPS 2021: 5162-5173 - [i55]Megha Nawhal, Greg Mori:
Activity Graph Transformer for Temporal Action Localization. CoRR abs/2101.08540 (2021) - [i54]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR abs/2102.12679 (2021) - [i53]Xiaobin Chang, Frederick Tung, Greg Mori:
Learning Discriminative Prototypes with Dynamic Time Warping. CoRR abs/2103.09458 (2021) - [i52]Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. CoRR abs/2104.11931 (2021) - [i51]Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori:
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. CoRR abs/2104.11939 (2021) - [i50]Hamed Shirzad, Hossein Hajimirsadeghi, Amir H. Abdi, Greg Mori:
TD-GEN: Graph Generation With Tree Decomposition. CoRR abs/2106.10656 (2021) - [i49]Ruizhi Deng, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Continuous Latent Process Flows. CoRR abs/2106.15580 (2021) - [i48]Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva:
D3D-HOI: Dynamic 3D Human-Object Interactions from Videos. CoRR abs/2108.08420 (2021) - [i47]Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen:
MUSE: Feature Self-Distillation with Mutual Information and Self-Information. CoRR abs/2110.12606 (2021) - 2020
- [j22]C. V. Jawahar
, Hongdong Li, Greg Mori, Konrad Schindler:
Guest Editorial: Special Issue on ACCV 2018. Int. J. Comput. Vis. 128(4): 909 (2020) - [j21]Frederick Tung
, Greg Mori:
Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 568-579 (2020) - [j20]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): 1257-1271 (2020) - [c114]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: 162-177 - [c113]Megha Nawhal, Mengyao Zhai, Andreas M. Lehrmann, Leonid Sigal, Greg Mori:
Generating Videos of Zero-Shot Compositions of Actions and Objects. ECCV (12) 2020: 382-401 - [c112]Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori:
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. ECCV (21) 2020: 397-413 - [c111]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
CoPhy: Counterfactual Learning of Physical Dynamics. ICLR 2020 - [c110]Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva:
Relational Graph Learning for Crowd Navigation. IROS 2020: 10007-10013 - [c109]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. NeurIPS 2020 - [c108]Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori:
Adapting Grad-CAM for Embedding Networks. WACV 2020: 2783-2792 - [d1]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
Cophy: Counterfactual Learning of Physical Dynamics. IEEE DataPort, 2020 - [i46]Lei Chen, Jianhui Chen, Hossein Hajimirsadeghi, Greg Mori:
Adapting Grad-CAM for Embedding Networks. CoRR abs/2001.06538 (2020) - [i45]Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker:
Variational Hyper RNN for Sequence Modeling. CoRR abs/2002.10501 (2020) - [i44]Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas M. Lehrmann:
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. CoRR abs/2002.10516 (2020) - [i43]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 abs/2003.06988 (2020) - [i42]Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva:
MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. CoRR abs/2007.02919 (2020) - [i41]Sha Hu, Zeshi Yang, Greg Mori:
Neural fidelity warping for efficient robot morphology design. CoRR abs/2012.04195 (2020)
2010 – 2019
- 2019
- [c107]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder. AABI 2019: 1-17 - [c106]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR 2019: 647-657 - [c105]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR 2019: 3165-3174 - [c104]Megha Nawhal, Jacqueline B. Lang, Greg Mori, Parmit K. Chilana:
VideoWhiz: Non-Linear Interactive Overviews for Recipe Videos. Graphics Interface 2019: 15:1-15:8 - [c103]Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. ICCV 2019: 1365-1374 - [c102]Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. ICCV 2019: 2759-2768 - [c101]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV 2019: 9894-9903 - [c100]Lei Chen, Mengyao Zhai, Jiawei He, Greg Mori:
Object Grounding via Iterative Context Reasoning. ICCV Workshops 2019: 1407-1415 - [c99]Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas M. Lehrmann:
Variational Autoencoders with Jointly Optimized Latent Dependency Structure. ICLR (Poster) 2019 - [e6]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part I. Lecture Notes in Computer Science 11361, Springer 2019, ISBN 978-3-030-20886-8 [contents] - [e5]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part II. Lecture Notes in Computer Science 11362, Springer 2019, ISBN 978-3-030-20889-9 [contents] - [e4]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part III. Lecture Notes in Computer Science 11363, Springer 2019, ISBN 978-3-030-20892-9 [contents] - [e3]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 11364, Springer 2019, ISBN 978-3-030-20869-1 [contents] - [e2]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part V. Lecture Notes in Computer Science 11365, Springer 2019, ISBN 978-3-030-20872-1 [contents] - [e1]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 11366, Springer 2019, ISBN 978-3-030-20875-2 [contents] - [i40]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR abs/1902.09720 (2019) - [i39]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR abs/1904.03273 (2019) - [i38]Frederick Tung, Greg Mori:
Similarity-Preserving Knowledge Distillation. CoRR abs/1907.09682 (2019) - [i37]Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori:
Lifelong GAN: Continual Learning for Conditional Image Generation. CoRR abs/1907.10107 (2019) - [i36]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR abs/1907.10719 (2019) - [i35]Zhiwei Deng, Megha Nawhal, Lili Meng, Greg Mori:
Continuous Graph Flow for Flexible Density Estimation. CoRR abs/1908.02436 (2019) - [i34]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
COPHY: Counterfactual Learning of Physical Dynamics. CoRR abs/1909.12000 (2019) - [i33]Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva:
Relational Graph Learning for Crowd Navigation. CoRR abs/1909.13165 (2019) - [i32]Zhiwei Deng, Greg Mori:
Policy Message Passing: A New Algorithm for Probabilistic Graph Inference. CoRR abs/1909.13196 (2019) - [i31]Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori:
Graph Generation with Variational Recurrent Neural Network. CoRR abs/1910.01743 (2019) - [i30]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [j19]Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink
, Greg Mori, Rahul Sukthankar:
Guest Editorial. Comput. Vis. Image Underst. 173: 1 (2018) - [j18]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): 375-389 (2018) - [c98]Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. BMVC 2018: 247 - [c97]Frederick Tung, Greg Mori:
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR 2018: 7873-7882 - [c96]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. ECCV (13) 2018: 106-122 - [c95]Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Aggregated Convolutional Networks. ECCV (12) 2018: 192-208 - [c94]Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori:
Constraint-Aware Deep Neural Network Compression. ECCV (8) 2018: 409-424 - [c93]Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal:
Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) 2018: 466-483 - [c92]Mengyao Zhai, Lei Chen, Greg Mori, Mehrsan Javan Roshtkhari
:
Deep Learning of Appearance Models for Online Object Tracking. ECCV Workshops (4) 2018: 681-686 - [c91]Mostafa S. Ibrahim, Greg Mori:
Hierarchical Relational Networks for Group Activity Recognition and Retrieval. ECCV (3) 2018: 742-758 - [c90]Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori:
Probabilistic Neural Programmed Networks for Scene Generation. NeurIPS 2018: 4032-4042 - [c89]Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori:
Generic Tubelet Proposals for Action Localization. WACV 2018: 343-351 - [c88]Liyue Shen, Serena Yeung
, Judy Hoffman
, Greg Mori, Li Fei-Fei:
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV 2018: 1568-1576 - [i29]Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Connected Convolutional Networks. CoRR abs/1801.05895 (2018) - [i28]Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. CoRR abs/1802.06459 (2018) - [i27]Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal:
Probabilistic Video Generation using Holistic Attribute Control. CoRR abs/1803.08085 (2018) - [i26]Arash Mehrjou, Mehran Khodabandeh, Greg Mori:
Distribution Aware Active Learning. CoRR abs/1805.08916 (2018) - [i25]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. CoRR abs/1806.06157 (2018) - [i24]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 abs/1808.04063 (2018) - 2017
- [j17]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): 45-55 (2017) - [j16]Hossein Hajimirsadeghi, Greg Mori:
Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1839-1852 (2017) - [c87]Frederick Tung, Srikanth Muralidharan, Greg Mori:
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC 2017 - [c86]Karoon Rashedi Nia, Greg Mori:
Building Damage Assessment Using Deep Learning and Ground-Level Image Data. CRV 2017: 95-102 - [c85]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: 6014-6023 - [c84]Serena Yeung
, Vignesh Ramanathan, Olga Russakovsky
, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [c83]Lei Chen, Mengyao Zhai, Greg Mori:
Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video. ICCV Workshops 2017: 328-336 - [i23]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
LabelBank: Revisiting Global Perspectives for Semantic Segmentation. CoRR abs/1703.09891 (2017) - [i22]Jiawei He, Mostafa S. Ibrahim, Zhiwei Deng, Greg Mori:
Generic Tubelet Proposals for Action Localization. CoRR abs/1705.10861 (2017) - [i21]Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, Greg Mori:
Learning Person Trajectory Representations for Team Activity Analysis. CoRR abs/1706.00893 (2017) - [i20]Mehran Khodabandeh, Zhiwei Deng, Mostafa S. Ibrahim, Shin'ichi Satoh, Greg Mori:
Active Learning for Structured Prediction from Partially Labeled Data. CoRR abs/1706.02342 (2017) - [i19]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CoRR abs/1706.02884 (2017) - [i18]Nelson Nauata, Jonathan Smith, Greg Mori:
Hierarchical Label Inference for Video Classification. CoRR abs/1706.05028 (2017) - [i17]Frederick Tung, Srikanth Muralidharan, Greg Mori:
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. CoRR abs/1707.09102 (2017) - [i16]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 abs/1712.01955 (2017) - 2016
- [j15]Liang Wang, Ioannis Patras
, Jian Zhang
, Greg Mori, Larry Davis:
Special Issue on Individual and Group Activities in Video Event Analysis. Comput. Vis. Image Underst. 144: 1-2 (2016) - [c82]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
A Hierarchical Deep Temporal Model for Group Activity Recognition. CVPR 2016: 1971-1980 - [c81]Serena Yeung
, Olga Russakovsky
, Greg Mori, Li Fei-Fei:
End-to-End Learning of Action Detection from Frame Glimpses in Videos. CVPR 2016: 2678-2687 - [c80]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CVPR 2016: 2960-2968 - [c79]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CVPR 2016: 4772-4781 - [c78]Mehran Khodabandeh, Srikanth Muralidharan, Arash Vahdat, Nazanin Mehrasa, Eduardo M. Pereira, Shin'ichi Satoh, Greg Mori:
Unsupervised learning of supervoxel embeddings for video Segmentation. ICPR 2016: 2392-2397 - [i15]Mengyao Zhai, Mehrsan Javan Roshtkhari, Greg Mori:
Deep Learning of Appearance Models for Online Object Tracking. CoRR abs/1607.02568 (2016) - [i14]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
Hierarchical Deep Temporal Models for Group Activity Recognition. CoRR abs/1607.02643 (2016) - [i13]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
Recalling Holistic Information for Semantic Segmentation. CoRR abs/1611.08061 (2016) - 2015
- [j14]Yasaman S. Sefidgar, Arash Vahdat, Stephen Se, Greg Mori:
Discriminative key-component models for interaction detection and recognition. Comput. Vis. Image Underst. 135: 16-30 (2015) - [c77]Wang Yan, Jordan Yap, Greg Mori:
Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection. BMVC 2015: 37.1-37.13 - [c76]Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori:
Deep Structured Models For Group Activity Recognition. BMVC 2015: 179.1-179.12 - [c75]Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari
, Greg Mori, Stephen Se:
Discovering human interactions in videos with limited data labeling. CVPR Workshops 2015: 9-18 - [c74]Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori:
Visual recognition by counting instances: A multi-instance cardinality potential kernel. CVPR 2015: 2596-2605 - [c73]Hossein Hajimirsadeghi, Greg Mori:
Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. ICCV 2015: 4059-4067 - [c72]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. ICCV 2015: 4471-4479 - [c71]Nataliya Shapovalova, Greg Mori:
Clustered Exemplar-SVM: Discovering sub-categories for visual recognition. ICIP 2015: 93-97 - [c70]Mengyao Zhai, Lei Chen, Jinling Li, Mehran Khodabandeh, Greg Mori:
Object detection in surveillance video from dense trajectories. MVA 2015: 535-538 - [i12]Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt, Leonid Sigal, Greg Mori:
Hierarchical Maximum-Margin Clustering. CoRR abs/1502.01827 (2015) - [i11]Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori:
Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel. CoRR abs/1502.02063 (2015) - [i10]Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari, Greg Mori, Stephen Se:
Discovering Human Interactions in Videos with Limited Data Labeling. CoRR abs/1502.03851 (2015) - [i9]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. CoRR abs/1505.00315 (2015) - [i8]Zhiwei Deng, Mengyao Zhai, Lei Chen, Yuhao Liu, Srikanth Muralidharan, Mehrsan Javan Roshtkhari, Greg Mori:
Deep Structured Models For Group Activity Recognition. CoRR abs/1506.04191 (2015) - [i7]Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang:
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses. CoRR abs/1507.00302 (2015) - [i6]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. CoRR abs/1507.05738 (2015) - [i5]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CoRR abs/1511.04196 (2015) - [i4]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CoRR abs/1511.05616 (2015) - [i3]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
A Hierarchical Deep Temporal Model for Group Activity Recognition. CoRR abs/1511.06040 (2015) - [i2]Serena Yeung, Olga Russakovsky, Greg Mori, Li Fei-Fei:
End-to-end Learning of Action Detection from Frame Glimpses in Videos. CoRR abs/1511.06984 (2015) - 2014
- [j13]Sangmin Oh, Scott McCloskey, Ilseo Kim, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, A. G. Amitha Perera, Megha Pandey, Jason J. Corso
:
Multimedia event detection with multimodal feature fusion and temporal concept localization. Mach. Vis. Appl. 25(1): 49-69 (2014) - [c69]Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori:
Learning Action Primitives for Multi-level Video Event Understanding. ECCV Workshops (3) 2014: 95-110 - [c68]Arash Vahdat, Guang-Tong Zhou, Greg Mori:
Discovering Video Clusters from Visual Features and Noisy Tags. ECCV (6) 2014: 526-539 - [c67]Valiallah Mani Monajjemi, Shokoofeh Pourmehr, Seyed Abbas Sadat, Fei Zhan, Jens Wawerla, Greg Mori, Richard T. Vaughan:
Integrating multi-modal interfaces to command UAVs. HRI 2014: 106 - [c66]Shokoofeh Pourmehr, Valiallah Mani Monajjemi, Seyed Abbas Sadat, Fei Zhan, Jens Wawerla, Greg Mori, Richard T. Vaughan:
"You are green": a touch-to-name interaction in an integrated multi-modal multi-robot HRI system. HRI 2014: 266-267 - 2013
- [j12]Mohamed H. Zaki
, Tarek Sayed
, Greg Mori:
Classifying Road Users in Urban Scenes Using Movement Patterns. J. Comput. Civ. Eng. 27(4): 395-406 (2013) - [j11]Mani Ranjbar, Tian Lan, Yang Wang, Stephen N. Robinovitch
, Ze-Nian Li, Greg Mori:
Optimizing Nondecomposable Loss Functions in Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 911-924 (2013) - [c65]Guang-Tong Zhou, Tian Lan, Weilong Yang, Greg Mori:
Learning Class-to-Image Distance with Object Matchings. CVPR 2013: 795-802 - [c64]Tian Lan, Greg Mori:
A Max-Margin Riffled Independence Model for Image Tag Ranking. CVPR 2013: 3103-3110 - [c63]Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori:
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. ICCV 2013: 369-376 - [c62]Arash Vahdat, Greg Mori:
Handling Uncertain Tags in Visual Recognition. ICCV 2013: 737-744 - [c61]Arash Vahdat, Kevin J. Cannons, Greg Mori, Sangmin Oh, Ilseo Kim:
Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach. ICCV 2013: 1185-1192 - [c60]Shokoofeh Pourmehr, Valiallah Monajjemi, Jens Wawerla, Richard T. Vaughan, Greg Mori:
A robust integrated system for selecting and commanding multiple mobile robots. ICRA 2013: 2874-2879 - [c59]Shokoofeh Pourmehr, Valiallah Mani Monajjemi, Richard T. Vaughan, Greg Mori:
"You two! Take off!": Creating, modifying and commanding groups of robots using face engagement and indirect speech in voice commands. IROS 2013: 137-142 - [c58]Valiallah Mani Monajjemi, Jens Wawerla, Richard T. Vaughan, Greg Mori:
HRI in the sky: Creating and commanding teams of UAVs with a vision-mediated gestural interface. IROS 2013: 617-623 - [c57]Ilseo Kim, Sangmin Oh, Arash Vahdat, Kevin J. Cannons, A. G. Amitha Perera, Greg Mori:
Segmental multi-way local pooling for video recognition. ACM Multimedia 2013: 637-640 - [c56]Yuke Zhu, Tian Lan, Yijian Yang, Steve Robinovitch, Greg Mori:
Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video. MVA 2013: 463-466 - [c55]Guang-Tong Zhou, Tian Lan, Arash Vahdat, Greg Mori:
Latent Maximum Margin Clustering. NIPS 2013: 28-36 - [c54]Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori:
Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. NIPS 2013: 2409-2417 - [c53]Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi:
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 2013 - [c52]Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed:
Multiple Instance Learning by Discriminative Training of Markov Networks. UAI 2013 - [i1]Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohamed H. Zaki, Tarek Sayed:
Multiple Instance Learning by Discriminative Training of Markov Networks. CoRR abs/1309.6833 (2013) - 2012
- [j10]Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier
, Tarek Sayed
, Greg Mori:
A large margin framework for single camera offline tracking with hybrid cues. Comput. Vis. Image Underst. 116(6): 676-689 (2012) - [j9]Tian Lan, Yang Wang, Weilong Yang, Stephen N. Robinovitch
, Greg Mori:
Discriminative Latent Models for Recognizing Contextual Group Activities. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1549-1562 (2012) - [c51]Tian Lan, Leonid Sigal, Greg Mori:
Social roles in hierarchical models for human activity recognition. CVPR 2012: 1354-1361 - [c50]Mani Ranjbar, Arash Vahdat, Greg Mori:
Complex loss optimization via dual decomposition. CVPR 2012: 2304-2311 - [c49]Nataliya Shapovalova, Arash Vahdat, Kevin J. Cannons, Tian Lan, Greg Mori:
Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification. ECCV (7) 2012: 55-68 - [c48]Tian Lan, Weilong Yang, Yang Wang, Greg Mori:
Image Retrieval with Structured Object Queries Using Latent Ranking SVM. ECCV (6) 2012: 129-142 - [c47]Omar Aziz, Edward J. Park, Greg Mori, Stephen N. Robinovitch
:
Distinguishing near-falls from daily activities with wearable accelerometers and gyroscopes using Support Vector Machines. EMBC 2012: 5837-5840 - [c46]Hossein Hajimirsadeghi, Greg Mori:
Multiple instance real boosting with aggregation functions. ICPR 2012: 2706-2710 - [c45]Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori:
Kernel Latent SVM for Visual Recognition. NIPS 2012: 818-826 - [c44]A. G. Amitha Perera, Sangmin Oh, Megha Pandey, Tianyang Ma, Anthony Hoogs, Arash Vahdat, Kevin J. Cannons, Hossein Hajimirsadeghi, Greg Mori, Scott McCloskey, Ben Miller, Sharath Venkatesha, Pedro Davalos, Pradipto Das, Chenliang Xu, Jason J. Corso, Rohini K. Srihari, Ilseo Kim, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Kevin Tang, Li Fei-Fei, Daphne Koller:
TRECVID 2012 GENIE: Multimedia Event Detection and Recounting. TRECVID 2012 - 2011
- [j8]Paul Wighton, Tim K. Lee, Greg Mori, Harvey Lui, David I. McLean, M. Stella Atkins:
Conditional Random Fields and Supervised Learning in Automated Skin Lesion Diagnosis. Int. J. Biomed. Imaging 2011: 846312:1-846312:10 (2011) - [j7]Yang Wang, Greg Mori:
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1310-1323 (2011) - [c43]Yang Wang, Greg Mori:
Max-margin Latent Dirichlet Allocation for Image Classification and Annotation. BMVC 2011: 1-11 - [c42]Zhi Feng Huang, Weilong Yang, Yang Wang, Greg Mori:
Latent Boosting for Action Recognition. BMVC 2011: 1-11 - [c41]Brian Milligan, Greg Mori, Richard T. Vaughan:
Selecting and commanding groups in a multi-robot vision based system. HRI 2011: 415-416 - [c40]Tian Lan, Yang Wang, Greg Mori:
Discriminative figure-centric models for joint action localization and recognition. ICCV 2011: 2003-2010 - [c39]Arash Vahdat, Bo Gao, Mani Ranjbar, Greg Mori:
A discriminative key pose sequence model for recognizing human interactions. ICCV Workshops 2011: 1729-1736 - [c38]A. G. Amitha Perera, Sangmin Oh, Matthew J. Leotta, Ilseo Kim, Byungki Byun, Chin-Hui Lee, Scott McCloskey, Jingchen Liu, Ben Miller, Zhi Feng Huang, Arash Vahdat, Weilong Yang, Greg Mori, Kevin Tang, Daphne Koller, Li Fei-Fei, Kang Li, Gang Chen, Jason J. Corso, Yun Fu, Rohini K. Srihari:
GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features. TRECVID 2011 - 2010
- [c37]Alex Couture-Beil, Richard T. Vaughan, Greg Mori:
Selecting and Commanding Individual Robots in a Multi-Robot System. CRV 2010: 159-166 - [c36]Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier
, Tarek Sayed
, Greg Mori:
Max-Margin Offline Pedestrian Tracking with Multiple Cues. CRV 2010: 347-353 - [c35]Weilong Yang, Yang Wang, Greg Mori:
Recognizing human actions from still images with latent poses. CVPR 2010: 2030-2037 - [c34]Yang Wang, Greg Mori:
A Discriminative Latent Model of Object Classes and Attributes. ECCV (5) 2010: 155-168 - [c33]Tian Lan, Yang Wang, Greg Mori, Stephen N. Robinovitch:
Retrieving Actions in Group Contexts. ECCV Workshops (1) 2010: 181-194 - [c32]Mani Ranjbar, Greg Mori, Yang Wang:
Optimizing Complex Loss Functions in Structured Prediction. ECCV (2) 2010: 580-593 - [c31]Alex Couture-Beil, Richard T. Vaughan, Greg Mori:
Selecting and commanding individual robots in a vision-based multi-robot system. HRI 2010: 355-356 - [c30]Tian Lan, Yang Wang, Weilong Yang, Greg Mori:
Beyond Actions: Discriminative Models for Contextual Group Activities. NIPS 2010: 1216-1224 - [c29]Yang Wang, Greg Mori:
A Discriminative Latent Model of Image Region and Object Tag Correspondence. NIPS 2010: 2397-2405 - [c28]Zhi Feng Huang, Greg Mori:
SFU at TRECVid 2010: Surveillance Event Detection. TRECVID 2010
2000 – 2009
- 2009
- [j6]Robert Sim, Greg Mori, Yiannis Rekleitis:
Second and Third Canadian Conferences on Computer and Robot Vision. Image Vis. Comput. 27(1-2): 1 (2009) - [j5]Jens Wawerla, Shelley Marshall, Greg Mori, Kristina Rothley, Payam Sabzmeydani:
BearCam: automated wildlife monitoring at the arctic circle. Mach. Vis. Appl. 20(5): 303-317 (2009) - [j4]Yang Wang, Greg Mori:
Human Action Recognition by Semilatent Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1762-1774 (2009) - [c27]Weilong Yang, Yang Wang, Greg Mori:
Efficient Human Action Detection Using a Transferable Distance Function. ACCV (2) 2009: 417-426 - [c26]Yang Wang, Greg Mori:
Max-margin hidden conditional random fields for human action recognition. CVPR 2009: 872-879 - [c25]Mohammad Norouzi, Mani Ranjbar, Greg Mori:
Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning. CVPR 2009: 2735-2742 - [c24]Weilong Yang, Yang Wang, Greg Mori:
Human action recognition from a single clip per action. ICCV Workshops 2009: 482-489 - [c23]Mark Bayazit, Alex Couture-Beil, Greg Mori:
Real-time Motion-based Gesture Recognition Using the GPU. MVA 2009: 9-12 - [c22]Yang Wang, Gholamreza Haffari, Shaojun Wang, Greg Mori:
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields. NIPS 2009: 2008-2016 - [c21]Weilong Yang, Tian Lan, Greg Mori:
SFU at TRECVid 2009: Event Detection. TRECVID 2009 - 2008
- [j3]Ralf Peter Botchen, Sven Bachthaler, Fabian Schick, Min Chen, Greg Mori, Daniel Weiskopf, Thomas Ertl:
Action-Based Multifield Video Visualization. IEEE Trans. Vis. Comput. Graph. 14(4): 885-899 (2008) - [c20]Alireza Fathi, Greg Mori:
Action recognition by learning mid-level motion features. CVPR 2008 - [c19]Yang Wang, Greg Mori:
Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation. ECCV (3) 2008: 710-724 - [c18]Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, Feng Jiao:
Boosting with incomplete information. ICML 2008: 368-375 - [c17]Yang Wang, Greg Mori:
Learning a discriminative hidden part model for human action recognition. NIPS 2008: 1721-1728 - [c16]Bo Chen, Nhan Nguyen, Greg Mori:
Human Pose Estimation with Rotated Geometric Blur. WACV 2008: 1-6 - 2007
- [c15]Payam Sabzmeydani, Greg Mori:
Detecting Pedestrians by Learning Shapelet Features. CVPR 2007 - [c14]Yang Wang, Greg Mori:
Boosted Multiple Deformable Trees for Parsing Human Poses. Workshop on Human Motion 2007: 16-27 - [c13]Yang Wang, Payam Sabzmeydani, Greg Mori:
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition. Workshop on Human Motion 2007: 240-254 - [c12]Alireza Fathi, Greg Mori:
Human Pose Estimation using Motion Exemplars. ICCV 2007: 1-8 - [c11]Maryam Moslemi Naeini, Greg Dutton, Kristina Rothley, Greg Mori:
Action Recognition of Insects Using Spectral Clustering. MVA 2007: 1-4 - [c10]Andrew Rova, Greg Mori, Lawrence M. Dill:
One Fish, Two Fish, Butterfish, Trumpeter: Recognizing Fish in Underwater Video. MVA 2007: 404-407 - 2006
- [j2]Greg Mori, Jitendra Malik:
Recovering 3D Human Body Configurations Using Shape Contexts. IEEE Trans. Pattern Anal. Mach. Intell. 28(7): 1052-1062 (2006) - [c9]Oliver van Kaick, Greg Mori:
Automatic Classification of Outdoor Images by Region Matching. CRV 2006: 9 - [c8]Xiaoxing Li, Greg Mori, Hao Zhang
:
Expression-Invariant Face Recognition with Expression Classification. CRV 2006: 77 - [c7]Yang Wang, Hao Jiang, Mark S. Drew, Ze-Nian Li, Greg Mori:
Unsupervised Discovery of Action Classes. CVPR (2) 2006: 1654-1661 - [p1]Serge J. Belongie
, Greg Mori, Jitendra Malik:
Matching with Shape Contexts. Statistics and Analysis of Shapes 2006: 81-105 - 2005
- [j1]Greg Mori, Serge J. Belongie
, Jitendra Malik:
Efficient Shape Matching Using Shape Contexts. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1832-1837 (2005) - [c6]Greg Mori:
Guiding Model Search Using Segmentation. ICCV 2005: 1417-1423 - 2004
- [c5]Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra Malik:
Recovering Human Body Configurations: Combining Segmentation and Recognition. CVPR (2) 2004: 326-333 - 2003
- [c4]Greg Mori, Jitendra Malik:
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA. CVPR (1) 2003: 134-144 - [c3]Alexei A. Efros
, Alexander C. Berg, Greg Mori, Jitendra Malik:
Recognizing Action at a Distance. ICCV 2003: 726-733 - 2002
- [c2]Greg Mori, Jitendra Malik:
Estimating Human Body Configurations Using Shape Context Matching. ECCV (3) 2002: 666-680 - 2001
- [c1]Greg Mori, Serge J. Belongie, Jitendra Malik:
Shape contexts enable efficient retrieval of similar shapes. CVPR (1) 2001: 723-730
Coauthor Index
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