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| | * Topics may include current research, past research, general topic presentations, paper summaries and critiques, or anything else beneficial to the computer vision graduate student community. | | * Topics may include current research, past research, general topic presentations, paper summaries and critiques, or anything else beneficial to the computer vision graduate student community. |
| | | | |
| − | ==Schedule Summer 2013== | + | ==Schedule Fall 2013== |
| | | | |
| − | This summer CVSS will be held as a journal club on Thursdays at 4pm in AVW 4424.
| + | All talks take place on Thursdays at 4pm in AVW 4424. |
| | | | |
| | {| class="wikitable" cellpadding="10" border="1" cellspacing="0" | | {| class="wikitable" cellpadding="10" border="1" cellspacing="0" |
| | |- | | |- |
| | ! Date | | ! Date |
| − | ! Discussion Leader | + | ! Speaker |
| | ! Title | | ! Title |
| | |- | | |- |
| − | | July 3 | + | | September 12 |
| − | | [http://www.cs.umd.edu/~jasonfil/ Jason Filippou] | + | | TBA |
| − | | 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]) | + | | TBA |
| − | 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
| + | |
| − | |- | + | ==Talk Abstracts Fall 2013== |
| − | | July 11
| + | |
| − | | [http://www2.math.umd.edu/~dshaw3/ David Shaw]
| + | ===TBA=== |
| − | | Graphical Models. Jordan, StatSci '04
| + | Speaker: TBA -- Date: September 12, 2013 |
| − | Nonparametric Belief Propagation. Sudderth et al., Commun. ACM '10
| + | |
| − | |-
| + | TBA |
| − | | July 18
| |
| − | | [http://www.umiacs.umd.edu/~sameh/ Sameh Khamis]
| |
| − | | 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
| |
| | | | |
| − | |-
| |
| − | | July 25
| |
| − | | ''No Meeting''
| |
| − | |
| |
| − | |-
| |
| − | | August 1
| |
| − | | Raviteja Vemulapalli
| |
| − | | 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
| |
| − | |-
| |
| − | | August 8
| |
| − | | Varun Nagaraja
| |
| − | | Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations. Globerson and Jaakkola, NIPS '07
| |
| − | Tightening LP Relaxations for MAP using Message Passing. Sontag et al, UAI '08
| |
| − | |-
| |
| − | | August 15
| |
| − | | Le Kang
| |
| − | | Gradient-Based Learning Applied to Document Recognition. LeCun et al, IEEE '98
| |
| − | Tutorial on Implementing a Convolutional Neural Network with Theano.
| |
| − | |-
| |
| − | | August 22
| |
| − | | Varun Manjunatha
| |
| − | | Learning Deep Architectures for AI. Bengio, now publishers '09
| |
| − | |}
| |
| | | | |
| | ==Past Semesters== | | ==Past Semesters== |