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| [http://www.cs.umd.edu/~jasonfil/ Jason Filippou]
| [http://www.cs.umd.edu/~jasonfil/ Jason Filippou]
| Probabilistic Event Calculus based on Markov Logic Networks. Skarlatidis et al., RuleML '11 ([http://www.cs.umd.edu/~jasonfil/files/cvss_07_03.pdf Slides])
| Probabilistic Event Calculus based on Markov Logic Networks. Skarlatidis et al., RuleML '11 ([http://www.cs.umd.edu/~jasonfil/files/cvss_07_03.pdf Slides])
Event Modeling and Recognition using Markov Logic Networks. Tran and Davis, ECCV '08<br/>
A Probabilistic Logic Programming Event Calculus. Skarlatidis et al., TPLP '14
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| July 11
| July 11
| [http://www2.math.umd.edu/~dshaw3/ David Shaw]
| [http://www2.math.umd.edu/~dshaw3/ David Shaw]
| Graphical Models. Jordan, StatSci '04
| Graphical Models. Jordan, StatSci '04
Nonparametric Belief Propagation. Sudderth et al., Commun. ACM '10
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| July 18
| July 18
| [http://www.umiacs.umd.edu/~sameh/ Sameh Khamis]
| [http://www.umiacs.umd.edu/~sameh/ Sameh Khamis]
| Coupling Detection and Data Association for Multiple Object Tracking. Wu et al, CVPR '12
| Coupling Detection and Data Association for Multiple Object Tracking. Wu et al, CVPR '12
Discrete-Continuous Optimization for Multi-Target Tracking. Andriyenko et al, CVPR '12<br/>
Multi-target Tracking by Lagrangian Relaxation to Min-Cost Network Flow. Butt and Collins, CVPR '13
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| Raviteja Vemulapalli
| Raviteja Vemulapalli
| Structured Learning and Prediction in Computer Vision. Nowozin and Lampert, now publishers '11 (Chapter 6)
| Structured Learning and Prediction in Computer Vision. Nowozin and Lampert, now publishers '11 (Chapter 6)
Kernelized Structural SVM Learning for Supervised Object Segmentation. Bertelli et al, CVPR '11
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| August 8
| August 8
| August 15
| August 15
| Le Kang
| Le Kang
| TBA
| Gradient-Based Learning Applied to Document Recognition. LeCun et al, IEEE '98
Tutorial on Implementing a Convolutional Neural Network with Theano.
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| August 22
| August 22
