Making Visual Data a First-Class Citizen
“ Above all, don't lie to yourself. The man who lies to himself and listens to his own lie come…
Showing posts with the label CMU
Deep Learning vs Probabilistic Graphical Models vs Logic
Today, let's take a look at three paradigms that have shaped the field of Artificial Intellig…
Brand Spankin' New Vision Papers from ICCV 2013
The International Conference of Computer Vision, ICCV, gathers the world's best researchers in …
Why your vision lab needs a reading group
I have a certain attitude when it comes to computer vision research -- don't do it in isolation…
don't throw away old code: github-it!
My thesis experiments on Exemplar-SVMs (my PhD thesis link : Note, 33MB) would have taken approxim…
CMU's Black Fridays: a graduating PhD student's perspective
I've always been amazed that the CMU department really knows what its PhD students are up to -…
CMU Robotics Instititue's vision finds a home at Google
Congratulations to PittPatt for their recent acquisition by Google. PittPatt, a Pittsburgh-based …
cvpr 2011: highlights from day 1
Today was the first main day of the CVPR 2011 conference. Here are some papers which I found parti…
Beyond pixel-wise labeling: Blocks World Revisited
"Thoughts without content are empty, intuitions without concepts are blind. " -- Immanuel…