English Translation by AIP. Board of Editors, Solid State Communications. It is awarded every three years.
Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally - on the scale of the entire planet!
In this paper, we propose a simple algorithm for estimating a distribution over geographic locations from a single image using a purely data-driven scene matching approach.
For this task, we will leverage a dataset of over 6 million GPS-tagged images from the Internet. We quantitatively evaluate our approach in several geolocation tasks and demonstrate encouraging performance up to 30 times better than chance.
What can you do with a million images?
In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless but also semantically valid.
Our chief insight is that while the space of images is effectively infinite, the space of semantically differentiable scenes is actually not that large. For many image completion tasks we are able to find similar scenes which contain image fragments that will convincingly complete the image.
Our algorithm is entirely data-driven, requiring no annotations or labelling by the user. Unlike existing image completion methods, our algorithm can generate a diverse set of image completions and we allow users to select among them.
Data-driven Approaches for Texture and Motion by Alexei A. Efros B.S. (University of Utah) M.S. (University of California, Berkeley) A dissertation submitted in partial satisfaction of the. Alexei A. Efros, Alexander Berg, Greg Mori, Jitendra Malikyour homework help Alyosha Efros Phd Thesis martin luther king jr i have a dream speech essay service quality dissertationintro to an essay Alyosha Efros Phd Thesis dissertation on chief student affairs officers qualitative dissertation proposalalyosha efros phd thesis Alexei (Alyosha. Derek Hoiem (Robotics, PhD , now at UIUC), co-advised with Alexei Efros PhD Thesis -- Seeing the World Behind the Image: Spatial Layout for 3D Scene Understanding Cristian Dima (Robotics, PhD , now at CMU NREC), co-advised with Tony Stentz.
We demonstrate the superiority of our algorithm over existing image completion approaches.Ph.D. Thesis: Data-driven Approaches for Texture and Motion Research Advisor: Prof.
Jitendra Malik M.S. in Computer Science, December A. A. Efros, T. K. Leung, ``Texture Synthesis by Non-parametric Sampling,'', IEEE International Conference on Computer Vision.
Alexei A. Efros, Alexander Berg, Greg Mori, Jitendra Malikintro to an essay Alyosha Efros Phd Thesis dissertation on chief student affairs officers qualitative dissertation proposalwill someone write my papers Alyosha Efros Phd Thesis assignment by death penalty should be banned essayyour homework help Alyosha Efros Phd Thesis martin luther.
Texture Synthesis by Non-parametric Sampling Alexei A. Efros and Thomas K. Leung Computer Science Division University of California, Berkeley Berkeley, CA , U.S.A.
f efros,leungt g @leslutinsduphoenix.com Abstract A non-parametric method for texture synthesis is pro- thesis algorithm that works well on a wide range of textures. This thesis is focused on exploiting and refining large scale scene matching to short circuit the typical computer vision and graphics pipelines for image understanding and manipulation.
Image Sequence Geolocation with Human Travel Priors Evangelos Kalogerakis, Olga Vesselova, James Hays, Alexei A. Efros, and Aaron Hertzmann. . PhD Thesis: Visual Learning beyond Direct Supervision Huawei Fellowship Dr.
Richard Zhang (PhD ), now research scientist at Adobe Alexei A. Efros, Alexander Berg, Greg Mori, Jitendra Malik In ICCV Watch the video Recepient of the test-of-time Helmholtz Prize. Data-driven Approaches for Texture and Motion by Alexei A. Efros B.S. (University of Utah) M.S.
(University of California, Berkeley) A dissertation submitted in partial satisfaction of the.