Showing posts with the label object recognition

From feature descriptors to deep learning: 20 years of computer vision

We all know that deep convolutional neural networks have produced some stellar results on object de…

Using Panoramas for Better Scene Understanding

There's a lot more to automated object interpretation than merely predicting the correct catego…

Question: What makes an object recognition system great?

Today, instead of discussing my own perspectives on object recognition or sharing some useful links…

Beyond pixel-wise labeling: Blocks World Revisited

"Thoughts without content are empty, intuitions without concepts are blind. " -- Immanuel…

The Visual Memex: Visual Object Recognition Without Categories

Figure 1 I have discussed the limitations of using rigid object categories in computer vision, and …

On Edelman's "On what it means to see"

I previously mentioned Shimon Edelman in my blog and why his ideas are important for the advanceme…

My 2nd Summer Internship in Google's Computer Vision Research Group

This summer I will be going for my 2nd summer internship at Google's Computer Vision Research G…

suns 2009 cool talks

This past Friday I went SUNS 2009 at MIT, and in my opinion the coolest talks were by Aude Oliva , …

What is segmentation? What is image segmentation?

According to Merriam-Webster, segmentation is "the process of dividing into segments" and…

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