Making Deep Networks Probabilistic via Test-time Dropout
In Quantum Mechanics, Heisenberg's Uncertainty Principle states that there is a fundamental lim…
Showing posts with the label papers
ICCV 2015: Twenty one hottest research papers
"Geometry vs Recognition" becomes ConvNet-for-X Computer Vision used to be cleanly separa…
Brand Spankin' New Vision Papers from ICCV 2013
The International Conference of Computer Vision, ICCV, gathers the world's best researchers in …
[CVPR 2013] Three Trending Computer Vision Research Areas
As I walked through the large poster-filled hall at CVPR 2013, I asked myself, “ Quo vadis Compute…
[Awesome@CVPR2013] Scene-SIRFs, Sketch Tokens, Detecting 100,000 object classes, and more
I promised to blog about some more exciting papers at CVPR 2013, so here is a short list of a few p…
[Awesome@CVPR2013] Image Parsing with Regions and Per-Exemplar Detectors
I've been making an inventory of all the awesome papers at this year's CVPR 2013 conference…