Showing posts with the label object detection

Sponsor Your Favorite Object Detector + VMX Smile Detector

Many of you asked if the VMX Project will come with an initial set of object detectors. Yes!  VMX …

Tracking points in a live camera feed: A behind-the-scenes look at the VMX Project webapp

In our computer vision startup, vision.ai , we're using open-source tools to create a one-of-a-…

Can you pass the HOGgles test? Inverting and Visualizing Features for Object Detection

Despite more than a decade of incessant research by some of the world's top computer vision res…

One Part Basis to Rule them All: Steerable Part Models

Last week, some of us vision hackers at MIT started an Object Recognition Reading Group.  The group…

learning to "borrow" examples for object detection. Lim et al, NIPS 2011

Let's say you want to train a cat detector...  If you're anything like me, then you probabl…

Kinect Object Datasets: Berkeley's B3DO, UW's RGB-D, and NYU's Depth Dataset

Why Kinect? www.pirobot.org The Kinect, made by Microsoft, is starting to become quite a common ite…

blazing fast nms.m (from exemplar-svm library)

If you care about building large-scale object recognition systems, you have to care about speed.  A…

Ensemble of Exemplar-SVMs for Object Detection and Beyond

Over the next couple of days I will be announcing some very exciting news.  As many of you know, I …

vision talks at CMU are the best

At CMU, we get some of the best people in object recognition to visit and give talks.  The CMU VASC…

Load More That is All