Sunday, 11.12.2016, 14:30
There are *many* photos in the world. An average user might have thousands of photos in their personal photo collection. We have reached a point where photo acquisition is trivial, and the next challenge lies in arranging and easily editing such large photo collections. I will start the talk by briefly surveying a few of our works that aim to arrange large collections, and to provide fast (yet sophisticated) image manipulation techniques. Next, I will describe a new type of photo elements: “distractors” and explain how those are related yet different from saliency, and how we can automatically detect them. Lastly, I will present our latest work that can fix perspective distortions in portrait photos.
Ohad Fried is a PhD student in the Computer Science Department at Princeton University. His work lies in the intersection of computer graphics, computer vision, and HCI. Previously, he received an M.Sc. in Computer Science and a B.Sc. in Computational Biology from The Hebrew University. Ohad’s research focuses on tools, algorithms, and new paradigms for photo editing. He published research papers in premier venues, including SIGGRAPH, CVPR, Eurographics, and NIME. Ohad is the recipient of several awards, including a Siebel Scholarship, a Google PhD Fellowship and a Princeton Gordon Y.S. Wu Fellowship in Engineering. If you own a cable modem, there’s a non-negligible chance that Ohad’s code runs within it, so feel free to blame him for your slow internet connection.