Greg Mori
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- affiliation: Simon Fraser University, Burnaby, Canada
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2010 – today
- 2019
- [c98]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR 2019: 647-657 - [c97]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 - [c96]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 - [c95]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 Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [j18]Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink
, Greg Mori, Rahul Sukthankar:
Guest Editorial. Computer Vision and Image Understanding 173: 1 (2018) - [j17]Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, Li Fei-Fei:
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. International Journal of Computer Vision 126(2-4): 375-389 (2018) - [c94]Mengyao Zhai, Ruizhi Deng, Jiacheng Chen, Lei Chen, Zhiwei Deng, Greg Mori:
Adaptive Appearance Rendering. BMVC 2018: 247 - [c93]Frederick Tung, Greg Mori:
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. CVPR 2018: 7873-7882 - [c92]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. ECCV (13) 2018: 106-122 - [c91]Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan:
Sparsely Aggregated Convolutional Networks. ECCV (12) 2018: 192-208 - [c90]Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori:
Constraint-Aware Deep Neural Network Compression. ECCV (8) 2018: 409-424 - [c89]Jiawei He, Andreas M. Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal:
Probabilistic Video Generation Using Holistic Attribute Control. ECCV (5) 2018: 466-483 - [c88]Mengyao Zhai, Lei Chen, Greg Mori, Mehrsan Javan Roshtkhari:
Deep Learning of Appearance Models for Online Object Tracking. ECCV Workshops (4) 2018: 681-686 - [c87]Mostafa S. Ibrahim, Greg Mori:
Hierarchical Relational Networks for Group Activity Recognition and Retrieval. ECCV (3) 2018: 742-758 - [c86]Zhiwei Deng, Jiacheng Chen, Yifang Fu, Greg Mori:
Probabilistic Neural Programmed Networks for Scene Generation. NeurIPS 2018: 4032-4042 - [c85]Jiawei He, Zhiwei Deng, Mostafa S. Ibrahim, Greg Mori:
Generic Tubelet Proposals for Action Localization. WACV 2018: 343-351 - [c84]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
- [j16]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. Med. Biol. Engineering and Computing 55(1): 45-55 (2017) - [j15]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) - [c83]Frederick Tung, Srikanth Muralidharan, Greg Mori:
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. BMVC 2017 - [c82]Karoon Rashedi Nia, Greg Mori:
Building Damage Assessment Using Deep Learning and Ground-Level Image Data. CRV 2017: 95-102 - [c81]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 - [c80]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [c79]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, Fei-Fei Li:
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
- [j14]Liang Wang, Ioannis Patras
, Jian Zhang, Greg Mori, Larry Davis:
Special Issue on Individual and Group Activities in Video Event Analysis. Computer Vision and Image Understanding 144: 1-2 (2016) - [c78]Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, Greg Mori:
A Hierarchical Deep Temporal Model for Group Activity Recognition. CVPR 2016: 1971-1980 - [c77]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 - [c76]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CVPR 2016: 2960-2968 - [c75]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 - [c74]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
- [j13]Yasaman S. Sefidgar, Arash Vahdat, Stephen Se, Greg Mori:
Discriminative key-component models for interaction detection and recognition. Computer Vision and Image Understanding 135: 16-30 (2015) - [c73]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 - [c72]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 - [c71]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 - [c70]Hossein Hajimirsadeghi, Wang Yan, Arash Vahdat, Greg Mori:
Visual recognition by counting instances: A multi-instance cardinality potential kernel. CVPR 2015: 2596-2605 - [c69]Hossein Hajimirsadeghi, Greg Mori:
Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. ICCV 2015: 4059-4067 - [c68]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Fei-Fei Li:
Learning Temporal Embeddings for Complex Video Analysis. ICCV 2015: 4471-4479 - [c67]Nataliya Shapovalova, Greg Mori:
Clustered Exemplar-SVM: Discovering sub-categories for visual recognition. ICIP 2015: 93-97 - [c66]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 W. 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, Fei-Fei Li:
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
- [j12]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) - [c65]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 - [c64]Arash Vahdat, Guang-Tong Zhou, Greg Mori:
Discovering Video Clusters from Visual Features and Noisy Tags. ECCV (6) 2014: 526-539 - [c63]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 - [c62]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
- [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) - [c61]Guang-Tong Zhou, Tian Lan, Weilong Yang, Greg Mori:
Learning Class-to-Image Distance with Object Matchings. CVPR 2013: 795-802 - [c60]Tian Lan, Greg Mori:
A Max-Margin Riffled Independence Model for Image Tag Ranking. CVPR 2013: 3103-3110 - [c59]Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori:
From Subcategories to Visual Composites: A Multi-level Framework for Object Detection. ICCV 2013: 369-376 - [c58]Arash Vahdat, Greg Mori:
Handling Uncertain Tags in Visual Recognition. ICCV 2013: 737-744 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]Guang-Tong Zhou, Tian Lan, Arash Vahdat, Greg Mori:
Latent Maximum Margin Clustering. NIPS 2013: 28-36 - [c50]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 - [c49]Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohammad Zaki, Tarek Sayed:
Multiple Instance Learning by Discriminative Training of Markov Networks. UAI 2013 - [i1]Hossein Hajimirsadeghi, Jinling Li, Greg Mori, Mohammad 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. Computer Vision and Image Understanding 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) - [c48]Tian Lan, Leonid Sigal, Greg Mori:
Social roles in hierarchical models for human activity recognition. CVPR 2012: 1354-1361 - [c47]Mani Ranjbar, Arash Vahdat, Greg Mori:
Complex loss optimization via dual decomposition. CVPR 2012: 2304-2311 - [c46]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 - [c45]Tian Lan, Weilong Yang, Yang Wang, Greg Mori:
Image Retrieval with Structured Object Queries Using Latent Ranking SVM. ECCV (6) 2012: 129-142 - [c44]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 - [c43]Hossein Hajimirsadeghi, Greg Mori:
Multiple instance real boosting with aggregation functions. ICPR 2012: 2706-2710 - [c42]Weilong Yang, Yang Wang, Arash Vahdat, Greg Mori:
Kernel Latent SVM for Visual Recognition. NIPS 2012: 818-826 - 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. Biomedical 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) - [c41]Yang Wang, Greg Mori:
Max-margin Latent Dirichlet Allocation for Image Classification and Annotation. BMVC 2011: 1-11 - [c40]Zhi Feng Huang, Weilong Yang, Yang Wang, Greg Mori:
Latent Boosting for Action Recognition. BMVC 2011: 1-11 - [c39]Brian Milligan, Greg Mori, Richard T. Vaughan:
Selecting and commanding groups in a multi-robot vision based system. HRI 2011: 415-416 - [c38]Tian Lan, Yang Wang, Greg Mori:
Discriminative figure-centric models for joint action localization and recognition. ICCV 2011: 2003-2010 - [c37]Arash Vahdat, Bo Gao, Mani Ranjbar, Greg Mori:
A discriminative key pose sequence model for recognizing human interactions. ICCV Workshops 2011: 1729-1736 - 2010
- [c36]Alex Couture-Beil, Richard T. Vaughan, Greg Mori:
Selecting and Commanding Individual Robots in a Multi-Robot System. CRV 2010: 159-166 - [c35]