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ORCIDGreg 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,