Slides
Slides for individual papers appear in the publication list below. Slides from talks on amalgamated work:
- Human Activity Recognition: Past Progress and Emerging Directions
[ppt slides]
[pdf slides]
- Deep Learning / Reinforcement Learning Summer School 2019 (DLRLSS)
- Learning Representations for Scenes and Videos
[ppt slides]
[pdf slides]
- He et al. ECCV18, Deng et al. NeurIPS 2018, Ibrahim and Mori ECCV18
- Deep Structured Models for Group Activities and Label Hierarchies
[ppt slides]
- Deng et al. BMVC15, CVPR16, Ibrahim et al. CVPR16, Hu et al. CVPR16
- Discriminative Latent Variable Models for Human Action Recognition (CVPR 13 / ICCV 13 workshops)
[pdf slides]
[ppt slides]
- Lan et al. NIPS10, PAMI12, CVPR12
- Learning Structured Models for Recognizing Human Actions (CVPR
2011 Gesture Recognition Workshop)
[pdf slides]
[ppt slides]
- Wang and Mori PAMI11, Yang et al. CVPR10, Lan et al. NIPS10, Lan et al. ICCV11
- Learning Structured Models for Recognizing Human Actions
[pdf slides]
[ppt slides]
- Yang et al. CVPR10, Wang and Mori PAMI09, Wang and Mori CVPR09, Wang and Mori NIPS08
- Monitoring Creatures Great and Small: Computer Vision Systems for Looking at Grizzly Bears, Fish, and Grasshoppers
[pdf slides]
[ppt slides]
- Wawerla et al. JMVA09, Rova et al. MVA07, Moslemi Naeini et al. MVA07
Publication List
R. Deng, M. Brubaker, G. Mori, and A. Lehrmann. Continuous Latent Process Flows. Time Series Workshop (at ICML), 2021 [pdf] [bibtex] | |
Xiaobin Chang, Frederick Tung, and Greg Mori. Learning Discriminative Prototypes with Dynamic Time Warping. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2021. [pdf] [bibtex] | |
Mengyao Zhai, Lei Chen, and Greg Mori. Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2021. [pdf] [bibtex] | |
S. Hu, Z. Yang, and G. Mori. Neural fidelity warping for efficient robot morphology design. International Conference on Robotics and Automation, ICRA 2021. [pdf] [bibtex] | |
Y. Gong, H. Hajimirsadeghi, J. He, T. Durand, and G. Mori. Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. International Conference on Artificial Intelligence and Statistics, AISTATS 2021. [pdf] [bibtex] | |
R. Deng, B. Chang, M. A. Brubaker, G. Mori, and A. Lehrmann. Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows. Neural Information Processing Systems, NeurIPS 2020. [pdf] [bibtex] | |
M. Zhai, L. Chen, J. He, M. Nawhal, F. Tung, and G. Mori. PiggybackGAN: Efficient Lifelong Learning for Image Conditioned Generation. European Conference on Computer Vision, ECCV 2020. [pdf] [bibtex] | |
M. Nawhal, M. Zhai, A. Lehrmann, L. Sigal, and G. Mori. Generating Videos of Zero-Shot Compositions of Actions and Objects. European Conference on Computer Vision, ECCV 2020. [pdf] [bibtex] | |
N. Nauata, K.-H. Chang, C.-Y. Cheng, G. Mori, and Y. Furukawa. House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation. European Conference on Computer Vision, ECCV 2020. [pdf] [bibtex] | |
C. Chen, S. Hu, P. Nikdel, G. Mori, and M. Savva. Relational Graph Learning for Crowd Navigation. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020. [pdf] [bibtex] [video] | |
L. Chen, J. Chen, H. Hajimirsadeghi, and G. Mori. Adapting Grad-CAM for Embedding Networks. IEEE Winter Conference on Applications of Computer Vision, WACV 2020. [pdf] [bibtex] | |
Y. Gong, H. Hajimirsadeghi, J. He, M. Nawhal, T. Durand, and G. Mori. Variational Selective Autoencoder. Symposium on Advances in Approximate Bayesian Inference, AABI 2019. [pdf] [bibtex] | |
M. Carvalho, T. Durand, J. He, N. Mehrasa, and G. Mori. Arbitrarily-conditioned Data Imputation. Symposium on Advances in Approximate Bayesian Inference, AABI 2019. [pdf] [bibtex] | |
N. Mehrasa, R. Deng, M. Ahmed, B. Chang, J. He, T. Durand, M. Brubaker, and G. Mori. Point Process Flows. Workshop on Learning with Temporal Point Processes (at NeurIPS), 2019 [pdf] [bibtex] | |
F. Tung and G. Mori. Similarity-Preserving Knowledge Distillation. IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [pdf] [bibtex] | |
A. A. Jyothi, T. Durand, J. He, L. Sigal, and G. Mori. LayoutVAE: Stochastic Scene Layout Generation from a Label Set. IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [pdf] [bibtex] | |
M. Zhai, L. Chen, F. Tung, J. He, M. Nawhal, and G. Mori. Lifelong GAN: Continual Learning for Conditional Image Generation. IEEE/CVF International Conference on Computer Vision (ICCV), 2019. [pdf] [bibtex] | |
L. Chen, M. Zhai, J. He, and G. Mori. Object Grounding via Iterative Context Reasoning. Workshop on Multi-Discipline Approach for Learning Concepts - Zero-Shot, One-Shot, Few-Shot and Beyond (at ICCV), 2019. [pdf] [bibtex] | |
N. Mehrasa, A. Abdu Jyothi, T. Durand, J. He, L. Sigal, and G. Mori. A Variational Auto-Encoder Model for Stochastic Point Processes. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2019. [pdf] [bibtex] | |
T. Durand, N. Mehrasa, and G. Mori. Learning a Deep ConvNet for Multi-label Classification with Partial Labels. IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2019. [pdf] [bibtex] | |
J. He, Y. Gong, J. Marino, G. Mori, and A. Lehrmann. Variational Autoencoders with Jointly Optimized Latent Dependency Structures. International Conference on Learning Representations (ICLR), 2019. [pdf] [bibtex] | |
N. Nauata, H. Hu, G.-T. Zhou, Z. Deng, Z. Liao, and G. Mori. Structured Label Inference for Visual Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. [pdf] [bibtex] | |
F. Tung and G. Mori. Deep Neural Network Compression by In-Parallel Pruning-Quantization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. [pdf] [bibtex] | |
Z. Deng, J. Chen, Y. Fu, and G. Mori. Probabilistic Neural Programmed Networks for Scene Generation. Neural Information Processing Systems (NeurIPS), 2018. [pdf] [bibtex] | |
J. He, Y. Gong, J. Marino, G. Mori, and A. Lehrmann. Variational Latent Dependency Learning. Bayesian Deep Learning Workshop (at NeurIPS), 2018. [pdf] [bibtex] | |
J. Butepage, J. He, C. Zhang, L. Sigal, G. Mori, and S. Mandt. Informed Priors for Deep Representation Learning. Symposium on Advances in Approximate Bayesian Inference (at NeurIPS), 2018. [pdf] [bibtex] | |
J. He, A. Lehrmann, J. Marino, G. Mori, and L. Sigal. Probabilistic Video Generation using Holistic Attribute Control. European Conference on Computer Vision (ECCV), 2018. [pdf] [bibtex] | |
M. Ibrahim and G. Mori. Hierarchical Relational Networks for Group Activity Recognition and Retrieval. European Conference on Computer Vision (ECCV), 2018. [pdf] [bibtex] | |
F. Baradel, N. Neverova, C. Wolf, J. Mille, and G. Mori. Object Level Visual Reasoning in Videos. European Conference on Computer Vision (ECCV), 2018. [pdf] [bibtex] | |
L. Zhu, R. Deng, M. Maire, Z. Deng, G. Mori, and P. Tan. Sparsely Aggregated Convolutional Networks. European Conference on Computer Vision (ECCV), 2018. [pdf] [bibtex] | |
C. Chen, F. Tung, N. Vedula, and G. Mori. Constraint-Aware Deep Neural Network Compression. European Conference on Computer Vision (ECCV), 2018. [pdf] [bibtex] | |
M. Zhai, R. Deng, J. Chen, L. Chen, Z. Deng, and G. Mori. Adaptive Appearance Rendering. British Machine Vision Conference (BMVC), 2018. [pdf] [bibtex] | |
F. Tung and G. Mori. CLIP-Q: Deep network compression learning by in-parallel pruning-quantization. IEEE Computer Vision and Pattern Recognition (CVPR), 2018. [pdf] [bibtex] | |
J. He, Z. Deng, M. Ibrahim, and G. Mori. Generic Tubelet Proposals for Action Localization IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018. [pdf] [bibtex] | |
N. Mehrasa, Y. Zhong, F. Tung, L. Bornn, and G. Mori. Deep Learning of Player Trajectory Representations for Team Activity Analysis. Sloan Sports Analytics Conference, 2018. [pdf] [bibtex] | |
L. Chen, M. Zhai, and G. Mori. Attending to Distinctive Moments: Weakly-supervised Attention Models for Action Localization in Video. 5th Workshop on Web-scale Vision and Social Media (at ICCV), 2017. [pdf] [bibtex] | |
F. Tung, S. Muralidharan, and G. Mori. Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. British Machine Vision Conference (BMVC), 2017. [pdf] [bibtex] | |
Z. Deng, R. Navarathna, P. Carr, S. Mandt, Y. Yue, I. Matthews and G. Mori. Factorized Variational Autoencoders for Modeling Audience Reactions to Movies. IEEE Computer Vision and Pattern Recognition (CVPR), 2017. [pdf] [bibtex] | |
S. Yeung, V. Ramanathan, O. Russakovsky, L. Shen, G. Mori and L. Fei-Fei. Learning to Learn from Noisy Web Videos. IEEE Computer Vision and Pattern Recognition (CVPR), 2017. [pdf] [bibtex] | |
K. Rashedi Nia and G. Mori. Building Damage Assessment Using Deep Learning and Ground-Level Image Data. Canadian Conference on Computer and Robot Vision (CRV), 2017 [pdf] [bibtex] | |
S. Yeung, O. Russakovsky, N. Jin, M. Andriluka, G. Mori, L. Fei-Fei. Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos. International Journal of Computer Vision (IJCV), 2017. [pdf] [bibtex] | |
H. Hajimirsadeghi and G. Mori. Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, T-PAMI 2017. [pdf] [bibtex] | |
M. Khodabandeh, S. Muralidharan, A. Vahdat, N. Mehrasa, E. M. Pereira, S. Satoh, and G. Mori. Unsupervised Learning of Supervoxel Embeddings for Video Segmentation. IAPR International Conference on Pattern Recognition (ICPR), 2016. [pdf] [bibtex] | |
Z. Deng, A. Vahdat, H. Hu, and G. Mori. Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. IEEE Computer Vision and Pattern Recognition (CVPR), 2016. [pdf] [bibtex] | |
H. Hu, G.-T. Zhou, Z. Deng, Z. Liao, and G. Mori. Learning Structured Inference Neural Networks with Label Relations. IEEE Computer Vision and Pattern Recognition (CVPR), 2016. [pdf] [bibtex] | |
M. Ibrahim, S. Muralidharan, Z. Deng, A. Vahdat, and G. Mori. A Hierarchical Deep Temporal Model for Group Activity Recognition. IEEE Computer Vision and Pattern Recognition (CVPR), 2016. [pdf] [bibtex] | |
S. Yeung, O. Russakovsky, G. Mori, L. Fei-Fei. End-to-end Learning of Action Detection from Frame Glimpses in Videos. IEEE Computer Vision and Pattern Recognition (CVPR), 2016. [pdf] [bibtex] | |
H. Hajimirsadeghi and G. Mori. Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables. IEEE International Conference on Computer Vision (ICCV), 2015. [pdf] [bibtex] | |
V. Ramanathan, K. Tang, G. Mori, and L. Fei-Fei. Learning Temporal Embeddings for Complex Video Analysis. IEEE International Conference on Computer Vision (ICCV), 2015. [pdf] [bibtex] | |
Z. Deng, M. Zhai, L. Chen, Y. Liu, S. Muralidharan, M. Roshtkhari, and G. Mori. Deep Structured Models For Group Activity Recognition. British Machine Vision Conference (BMVC), 2015. [pdf] [bibtex] | |
W. Yan, J. Yap, and G. Mori. Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection. British Machine Vision Conference (BMVC), 2015. [pdf] [bibtex] | |
N. Shapovalova and G. Mori. Clustered Exemplar-SVM: Discovering Sub-Categories for Visual Recognition. IEEE International Conference on Image Processing (ICIP), 2015. [pdf] [bibtex] | |
M. Khodabandeh, A. Vahdat, G.-T. Zhou, H. Hajimirsadeghi, M. Roshtkhari, G. Mori, and S. Se. Discovering Human Interactions in Videos with Limited Data Labeling. Workshop on Group and Crowd Behavior Analysis and Understanding (at CVPR), 2015. [pdf] [bibtex] | |
H. Hajimirsadeghi, W. Yan, A. Vahdat, and G. Mori. Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel. IEEE Computer Vision and Pattern Recognition (CVPR), 2015. [pdf] [bibtex] | |
Y. Sefidgar, A. Vahdat, S. Se, and G. Mori. Discriminative Key-Component Models for Interaction Detection and Recognition. Computer Vision and Image Understanding (CVIU), 2015 [pdf] [bibtex] | |
M. Zhai, L. Chen, M. Khodabandeh, J. Li, and G. Mori. Object Detection in Surveillance Video from Dense Trajectories. IAPR Conference on Machine Vision Applications (MVA), 2015. [pdf] [bibtex] | |
Arash Vahdat, Guang-Tong Zhou, and Greg Mori. Discovering Video Clusters from Visual Features and Noisy Tags. European Conference on Computer Vision (ECCV), 2014. [pdf] [supplementary material] [bibtex] | |
Arash Vahdat and Greg Mori. Handling Uncertain Tags in Visual Recognition. IEEE International Conference on Computer Vision (ICCV), 2013. [pdf] [bibtex] | |
Arash Vahdat, Kevin Cannons, Greg Mori, Ilseo Kim, and Sangmin Oh. Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach. IEEE International Conference on Computer Vision (ICCV), 2013. [pdf] [bibtex] | |
Tian Lan, Michalis Raptis, Leonid Sigal, and Greg Mori. From Subcategories to Visual Composites: A Multi-Level Framework for Object Detection. IEEE International Conference on Computer Vision (ICCV), 2013. [pdf] [bibtex] | |
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, and Greg Mori. Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization. Neural Information Processing Systems (NIPS), 2013. [pdf] [bibtex] | |
Guang-Tong Zhou, Tian Lan, Arash Vahdat, and Greg Mori. Latent Maximum Margin Clustering. Neural Information Processing Systems (NIPS), 2013. [pdf] [bibtex] | |
I. Kim, S. Oh, A. Vahdat, K. Cannons, A. G. Perera, and G. Mori. Segmental Multi-way Local Pooling for Video Recognition. ACM Multimedia Conference (ACM MM), 2013. (short paper) [pdf] [bibtex] | |
S. Pourmehr, V. Monajjemi, R. Vaughan, and G. Mori. "You two! Take off!": Creating, Modifying and Commanding Groups of Robots Using Face Engagement and Indirect Speech in Voice Commands. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013. [pdf] [video] [bibtex] | |
V. Monajjemi, J. Wawerla, R. Vaughan, and G. Mori. HRI in the Sky: Creating and Commanding Teams of UAVs with a Vision-mediated Gestural Interface. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013. [pdf] [video] [bibtex] | |
H. Hajimirsadeghi, J. Li, G. Mori, M. Zaki, and T. Sayed. Multiple Instance Learning by Discriminative Training of Markov Networks. Conference on Uncertainty in Artificial Intelligence (UAI), 2013. [pdf] [bibtex] | |
Tian Lan and Greg Mori. A Max-Margin Riffled Independence Model for Image Tag Ranking. IEEE Computer Vision and Pattern Recognition (CVPR), 2013. [pdf] [bibtex] | |
Guang-Tong Zhou, Tian Lan, Weilong Yang, and Greg Mori. Learning Class-to-Image Distance with Object Matchings. IEEE Computer Vision and Pattern Recognition (CVPR), 2013. [pdf] [bibtex] | |
Yuke Zhu, Tian Lan, Yijian Yang, Steven N. Robinovitch, and Greg Mori. Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video. IAPR Conference on Machine Vision Applications (MVA), 2013. [pdf] [bibtex] | |
Shokoofeh Pourmehr, Valiallah Monajjemi, Jens Wawerla, Richard Vaughan, and Greg Mori. A Robust Integrated System for Selecting and Commanding Multiple Mobile Robots. IEEE International Conference on Robotics and Automation (ICRA), 2013. [pdf] [bibtex] | |
Mani Ranjbar, Tian Lan, Yang Wang, Stephen Robinovitch and Greg Mori. Optimizing Non-Decomposable Loss Functions in Structured Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 35(4) pp.911-924, 2013. [pdf] [bibtex] | |
Weilong Yang, Yang Wang, Arash Vahdat, and Greg Mori. Kernel Latent SVM for Visual Recognition. Neural Information Processing Systems (NIPS), 2012. [pdf] [bibtex] | |
Hossein Hajimirsadeghi and Greg Mori. Multiple Instance Real Boosting with Aggregation Functions. IAPR International Conference on Pattern Recognition, ICPR 2012. [pdf] [bibtex] | |
Tian Lan, Weilong Yang, Yang Wang, and Greg Mori. Image Retrieval with Structured Object Queries Using Latent Ranking SVM. European Conference on Computer Vision (ECCV), 2012. [pdf] [bibtex] | |
Nataliya Shapovalova, Arash Vahdat, Kevin Cannons, Tian Lan, and Greg Mori. Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification. European Conference on Computer Vision (ECCV), 2012. [pdf] [bibtex] | |
Tian Lan, Leonid Sigal, and Greg Mori. Social Roles in Hierarchical Models for Human Activity Recognition. IEEE Computer Vision and Pattern Recognition (CVPR), 2012. [pdf] [bibtex] [example video] | |
Mani Ranjbar, Arash Vahdat, and Greg Mori. Complex Loss Optimization via Dual Decomposition. IEEE Computer Vision and Pattern Recognition (CVPR), 2012. [pdf] [bibtex] | |
Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, and Greg Mori. A Large Margin Framework for Single Camera Offline Tracking with Hybrid Cues. Computer Vision and Image Understanding (CVIU), 116 pp.676-689, 2012. [pdf] [bib] [more details] | |
Tian Lan, Yang Wang, Weilong Yang, Stephen Robinovitch, and Greg Mori. Discriminative Latent Models for Recognizing Contextual Group Activities. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 34(8) pp.1549-1562, 2012 [pdf] [bibtex] | |
Arash Vahdat, Bo Gao, Mani Ranjbar, and Greg Mori. A Discriminative Key Pose Sequence Model for Recognizing Human Interactions. Eleventh IEEE International Workshop on Visual Surveillance, 2011. [pdf] [bibtex] | |
Tian Lan, Yang Wang, and Greg Mori. Discriminative Figure-Centric Models for Joint Action Localization and Recognition. IEEE International Conference on Computer Vision (ICCV), 2011 [pdf] [bibtex] | |
Zhi Feng Huang, Weilong Yang, Yang Wang, and Greg Mori. Latent Boosting for Action Recognition. 22nd British Machine Vision Conference (BMVC), 2011. [pdf] [bibtex] | |
Yang Wang and Greg Mori. Max-Margin Latent Dirichlet Allocation for Image Classification and Annotation. 22nd British Machine Vision Conference (BMVC), 2011. [pdf] [bibtex] | |
B. Milligan, G. Mori, and R. Vaughan. Selecting and Commanding Groups in a Multi-Robot Vision Based System. 6th ACM/IEEE International Conference on Human-Robot Interaction (Video Session) (HRI), 2011. [pdf] [bibtex] [video] | |
Yang Wang and Greg Mori. Hidden Part Models for Human Action Recognition: Probabilistic vs. Max-Margin. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 33(7) pp.1310-1323 2011. [pdf] [bibtex] | |
Tian Lan, Yang Wang, Weilong Yang, and Greg Mori. Beyond Actions: Discriminative Models for Contextual Group Activities. Neural Information Processing Systems (NIPS), 2010. [pdf] [bibtex] [ppt slides] | |
Yang Wang and Greg Mori. A Discriminative Latent Model of Image Region and Object Tag Correspondence. Neural Information Processing Systems (NIPS), 2010. [pdf] [bibtex] | |
Tian Lan, Yang Wang, Greg Mori, and Stephen Robinovitch. Retrieving Actions in Group Contexts. International Workshop on Sign Gesture Activity, 2010. [pdf] [bibtex] [ppt slides] | |
Yang Wang and Greg Mori. A Discriminative Latent Model of Object Classes and Attributes. European Conference on Computer Vision (ECCV), 2010. [pdf] [bibtex] | |
Mani Ranjbar, Greg Mori, and Yang Wang. Optimizing Complex Loss Functions in Structured Prediction. European Conference on Computer Vision (ECCV), 2010. [pdf] [bibtex] | |
Weilong Yang, Yang Wang, and Greg Mori. Recognizing Human Actions from Still Images with Latent Poses. IEEE Computer Vision and Pattern Recognition (CVPR), 2010. [pdf] [bibtex] | |
Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, and Greg Mori. Max-Margin Offline Pedestrian Tracking with Multiple Cues. Seventh Canadian Conference on Computer and Robot Vision (CRV), 2010. [pdf] [bibtex] [pdf slides] [ppt slides] [more details] | |
A. Couture-Beil, R. Vaughan, and G. Mori. Selecting and Commanding Individual Robots in a Vision-Based Multi-Robot System. Seventh Canadian Conference on Computer and Robot Vision (CRV), 2010. [pdf] [bibtex] [pdf slides] [ppt slides] [more details] | |
A. Couture-Beil, R. Vaughan, and G. Mori. Selecting and Commanding Individual Robots in a Vision-Based Multi-Robot System. 5th ACM/IEEE International Conference on Human-Robot Interaction (Video Session) (HRI), 2010. [pdf] [video] [bibtex] [pdf slides] [ppt slides] [more details] | |
Yang Wang, Gholamreza Haffari, Shaojun Wang and Greg Mori, A Rate Distortion Approach for Semi-Supervised Conditional Random Fields, Advances in Neural Information Processing Systems (NIPS) 22, 2009 [pdf] [bibtex] | |
Weilong Yang, Tian Lan, and Greg Mori. SFU at TRECVid 2009: Event Detection. TRECVID Workshop, 2009 [pdf] [more details] | |
Weilong Yang, Yang Wang and Greg Mori, Efficient Human Action Detection using a Transferable Distance Function, Ninth Asian Conference on Computer Vision (ACCV), 2009. [pdf] [bibtex] [pdf slides] [ppt slides] [more details] | |
Weilong Yang, Yang Wang, and Greg Mori, Human Action Recognition from a Single Clip per Action, 2nd International Workshop on Machine Learning for Vision-based Motion Analysis, 2009. [pdf] [bibtex] [pdf slides] [ppt slides] | |
Yang Wang and Greg Mori, Max-Margin Hidden Conditional Random Fields for Human Action Recognition, IEEE Computer Vision and Pattern Recognition (CVPR), 2009. [pdf] [bibtex] | |
Mohammad Norouzi, Mani Ranjbar, and Greg Mori, Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning, IEEE Computer Vision and Pattern Recognition (CVPR), 2009. [pdf] [bibtex] | |
Mark Bayazit, Alex Couture-Beil, and Greg Mori, Real-time Motion-based Gesture Recognition using the GPU, IAPR Conference on Machine Vision Applications (MVA), 2009. [pdf] [bibtex] [more info] | |
Yang Wang and Greg Mori, Human Action Recognition by Semi-Latent Topic Models, IEEE Transactions on Pattern Analysis and Machine Intelligence Special Issue on Probabilistic Graphical Models in Computer Vision (T-PAMI), 31(10):1762-1774, 2009. [pdf] [bibtex] [more details] | |
Jens Wawerla, Shelley Marshall, Greg Mori, Kristina Rothley, and Payam Sabzmeydani, BearCam: Automated Wildlife Monitoring At The Arctic Circle, Journal of Machine Vision and Applications (MVA), 2009. [pdf] [bibtex] [more details] | |
Yang Wang and Greg Mori, Learning a Discriminative Hidden Part Model for Human Action Recognition, Advances in Neural Information Processing Systems (NIPS) 21, 2008 [pdf] [bibtex] | Yang Wang and Greg Mori, Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation, European Conference on Computer Vision (ECCV), 2008. [pdf] [bibtex] |
Bo Chen, William Pak Tun Ma, Yan Tan, Alexandra Fedorova, and Greg Mori, GreenRT: A Framework for the Design of Power-Aware Soft Real-Time Applications, Workshop on the Interaction between Operating Systems and Computer Architecture (WIOSCA), 2008. [pdf] [bibtex] | |
Gholamreza Haffari, Yang Wang, Shaojun Wang, Greg Mori, and Feng Jiao, Boosting with Incomplete Information, International Conference on Machine Learning (ICML), 2008. [pdf] [bibtex] | |
Alireza Fathi and Greg Mori, Action Recognition by Learning Mid-level Motion Features, IEEE Computer Vision and Pattern Recognition (CVPR), 2008. [pdf] [bibtex] | |
R. P. Botchen, S. Bachthaler, F. Schick, M. Chen, G. Mori, D. Weiskopf and T. Ertl, Action-based multi-field video visualization, IEEE Transactions on Visualization and Computer Graphics (TVCG), 14(4):885-899, 2008. | |
Bo Chen, Nhan Nguyen, and Greg Mori, Human Pose Estimation with Rotated Geometric Blur, IEEE Workshop on Applications of Computer Vision (WACV), 2008. [pdf] [bibtex] | |
Alireza Fathi and Greg Mori, Human Pose Estimation using Motion Exemplars, IEEE International Conference on Computer Vision (ICCV), 2007. [pdf] [bibtex] [more details] | |
Yang Wang and Greg Mori, Boosted Multiple Deformable Trees for Parsing Human Poses, 2nd Workshop on HUMAN MOTION Understanding, Modeling, Capture and Animation, 2007. [pdf] [bibtex] | |
Yang Wang, Payam Sabzmeydani, and Greg Mori, Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition, 2nd Workshop on HUMAN MOTION Understanding, Modeling, Capture and Animation, 2007. [pdf] [bibtex] | |
Payam Sabzmeydani and Greg Mori, Detecting Pedestrians by Learning Shapelet Features, IEEE Computer Vision and Pattern Recognition (CVPR), 2007. [README] | |
Andrew Rova, Greg Mori, Lawrence M. Dill, One Fish, Two Fish, Butterfish, Trumpeter: Recognizing Fish in Underwater Video, IAPR Conference on Machine Vision Applications, 2007. [pdf] [bibtex] [more details] | |
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothley, and Greg Mori, Action Recognition of Insects Using Spectral Clustering, IAPR Conference on Machine Vision Applications, 2007. [pdf] [bibtex] [more details] | |
Chris McIntosh, Ghassan Hamarneh and Greg Mori, Human Limb Delineation and Joint Position Recovery Using Localized Boundary Models, IEEE Workshop on Motion and Video Computing (WMVC), 2007. [pdf] [bibtex] [more details] | |
Yang Wang, Hao Jiang, Mark S. Drew, Ze-Nian Li and Greg Mori, Unsupervised Discovery of Action Classes, IEEE Computer Vision and Pattern Recognition (CVPR), 2006. [pdf] [bibtex] [more details] | |
Xiaoxing Li, Greg Mori and Hao Zhang, Expression-Invariant Face Recognition with Expression Classification, Third Canadian Conference on Computer and Robot Vision (CRV), 2006. [pdf] | |
Oliver van Kaick and Greg Mori, Automatic Classification of Outdoor Images by Region Matching, Third Canadian Conference on Computer and Robot Vision (CRV), 2006. [pdf] | |
Greg Mori and Jitendra Malik, Recovering 3d Human Body Configurations Using Shape Contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 28(7):1052-1062, July, 2006. [pdf] [bibtex] [more details] | |
Serge Belongie, Greg Mori and Jitendra Malik, Matching with Shape Contexts, Statistics and Analysis of Shapes, eds. H. Krim and T. Yezzi, Birkhäuser, 2006. | |
Greg Mori, Guiding Model Search Using Segmentation, IEEE International Conference on Computer Vision (ICCV), 2005. [pdf] [bibtex] [code] | |
Greg Mori, Serge Belongie, and Jitendra Malik, Efficient Shape Matching Using Shape Contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 27(11):1832-1837, Nov. 2005. [pdf] [bibtex] | |
G. Mori, X. Ren, A. Efros, and J. Malik, Recovering Human Body Configurations: Combining Segmentation and Recognition, IEEE Computer Vision and Pattern Recognition (CVPR), 2004. [pdf] [bibtex] [ppt slides] | |
G. Mori, A. Berg, A. Efros, A. Eden, and J. Malik, Video Based Motion Synthesis by Splicing and Morphing, University of California, Berkeley Tech Report: UCB//CSD-04-1337, June 2004. [pdf] [bibtex] | |
A.A. Efros, A.C. Berg, G. Mori and J. Malik, Recognizing Action at A Distance, IEEE International Conference on Computer Vision (ICCV), 2003. [pdf] [bibtex] [more details] | |
G. Mori, L. Walker, S. R. Bharadwaj, C. Schor, and J. Malik, Do object viewing strategies change when parts are ambiguous?, European Conference on Visual Perception (unreferreed), 2003. [abst] | |
Greg Mori and Jitendra Malik, Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA, IEEE Computer Vision and Pattern Recognition (CVPR), 2003. [pdf] [bibtex] [more details] | |
Greg Mori and Jitendra Malik, Estimating Human Body Configurations using Shape Context Matching, European Conference on Computer Vision (ECCV), 2002. [pdf] [ps.gz] [bibtex] [video results (8.8Mb)] | |
Greg Mori, Serge Belongie, and Jitendra Malik, Shape Contexts Enable Efficient Retrieval of Similar Shapes, IEEE Computer Vision and Pattern Recognition (CVPR), 2001. [pdf] [ps.gz] [bibtex] | |
Greg Mori and Jitendra Malik, Estimating Human Body Configurations using Shape Context Matching, Workshop on Models versus Exemplars in Computer Vision, 2001. [pdf] [ps.gz] [ppt slides] |