Showing posts with the label cvpr

[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…

Must-see Workshops @ CVPR 2013

June is that wonderful month during which computer vision researchers, students, and entrepreneurs …

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…

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…

cvpr 2011 in colorado springs

CVPR ( CVPR 2011 ) will be held this year in Colorado Springs, and I'll hopefully get a chance …

CVPR, the A+'s of yesteryear, and robots need us

It is November yet again, and I'm proud to announce my last CVPR submission as a graduate stud…

more papers to check out from cvpr

Here are more CVPR 2010 papers which I either found interesting or plan on reading when I get back …

everything is misc -- torralba cvpr paper to check out

Weinberger's Everything is Miscellaneous is a delightful read -- I just finished it today whi…

blogging from CVPR2010

It might not be one of those glamorous Apple events during which Steve Jobs introduces a new shiny …

Exciting Computer Vision papers from Kristen Grauman's UT-Austin Group

Back in 2005, I remember meeting Kristen Grauman at MIT's accepted PhD student open house.  Ba…

Learning Per-Exemplar Distance Functions == Learning Anisotropic Per-Exemplar Kernels for Non-Parametric Density Estimation

When estimating probability densities, one can be parametric or non-parametric. A parametric appro…

dude, where's my image?

Check out IM2GPS: estimating geographic information from a single image . This is CVPR2008 work do…

Recognition by Association via Learning Per-exemplar Distances

Tomasz Malisiewicz, Alexei A. Efros. Recognition by Association via Learning Per-exemplar Distanc…

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