Differences

This shows you the differences between two versions of the page.

--- project [2019/09/09 19:53] – calden
+++ project [2019/11/27 15:45] (current) – calden
@@ Line 11: / Line 11: @@
 ===Component Deadlines===
-    * White Paper
+    * White Paper - September 23rd
-    * Proposal
+    * Proposal - October 9th
-    * Site Visit
+    * Site Visit - November 4th/6th (in lab)
-    * Demo
+    * Demo - November 20th, 25th, 27th, December 2nd (in class)
-    * Final Report
+    * Final Report - original deadline: December 2nd, revised deadline: December 13th
 ===Engineering Stream===
@@ Line 58: / Line 58: @@
 Note that if a student would like to claim one of these models for their project, they are encouraged to speak to the instructor early to avoid duplication of work with another student.
-  * Discriminant Saliency - Gao et al., 2008, [[https://jov.arvojournals.org/article.aspx?articleid=2193585|Paper Link]]. Code was released as a binary, and does not appear to run anymore.
+  * Discriminant Saliency - Gao et al., 2008, [[https://jov.arvojournals.org/article.aspx?articleid=2193585|Paper Link]]. Code was released as a binary, and does not appear to run anymore. **Project selected by a student.**
-  * Discriminative Correlation Filter with Channel and Spatial Reliability - Lukežič et al., 2017, [[http://openaccess.thecvf.com/content_cvpr_2017/html/Lukezic_Discriminative_Correlation_Filter_CVPR_2017_paper.html|Paper Link]]. Code was released for MATLAB, and could be converted to Python or C++. [[https://github.com/alanlukezic/csr-dcf|GitHub Repository of MATLAB Code]]
+  * Discriminative Correlation Filter with Channel and Spatial Reliability - Lukežič et al., 2017, [[http://openaccess.thecvf.com/content_cvpr_2017/html/Lukezic_Discriminative_Correlation_Filter_CVPR_2017_paper.html|Paper Link]]. Code was released for MATLAB, and could be converted to Python or C++. [[https://github.com/alanlukezic/csr-dcf|GitHub Repository of MATLAB Code]] - **Project selected by a student.**
-  * Learning Background-Aware Correlation Filters for Visual Tracking - Galoogahi et al., 2017, [[http://openaccess.thecvf.com/content_iccv_2017/html/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_paper.html|Paper Link]]. Code was released for MATLAB, and could be converted to Python or C++. [[http://www.hamedkiani.com/bacf.html|Project page with link to code]]
+  * Learning Background-Aware Correlation Filters for Visual Tracking - Galoogahi et al., 2017, [[http://openaccess.thecvf.com/content_iccv_2017/html/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_paper.html|Paper Link]]. Code was released for MATLAB, and could be converted to Python or C++. [[http://www.hamedkiani.com/bacf.html|Project page with link to code]] - **Project selected by a student.**
-  * Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors - Huang et al., 2016, [[https://www.mdpi.com/2072-4292/8/6/483|Paper Link]]. Model appears to have been released without code.
+  * Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors - Huang et al., 2016, [[https://www.mdpi.com/2072-4292/8/6/483|Paper Link]]. Model appears to have been released without code. - **Project selected by a student.**
   * Compositional Model Based Fisher Vector Coding for Image Classification - Liu et al., 2017, [[https://ieeexplore.ieee.org/abstract/document/7812753|Paper Link]]. Model appears to have been released without code.
   * Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera - Chen et al., 2017 [[http://jtl.lassonde.yorku.ca/wp-content/uploads/2017/02/pfr_paper_crv2017.pdf|Paper Link]]. Model released without code, but the dataset is publicly available: [[http://jtl.lassonde.yorku.ca/2017/02/person-following/|Project page]]. Note that this is a robotics paper; only the vision component would be expected to be completed, and evaluation on existing data would be sufficient.
-  * Early Recurrence Improves Edge Detection - Shi et al., 2013, [[http://www.bmva.org/bmvc/2013/Papers/paper0022/paper0022.pdf|Paper Link]]. Model appears to have been released without code.
+  * Early Recurrence Improves Edge Detection - Shi et al., 2013, [[http://www.bmva.org/bmvc/2013/Papers/paper0022/paper0022.pdf|Paper Link]]. Model appears to have been released without code. **Project selected by a student.**
 ==A Prior Example from the Literature==