Demo Data from SIGIR 2026 / reviewers in the wild / expert
Barun Singh
dblp:23/4308
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › image restoration › image deblurring
blind deconvolution |
0.1 | 1 | 2006 | Removing camera shake from a single photograph · ACM Trans. Graph. 2006 |
Image and video processing › image stabilization
camera shake removal |
0.1 | 1 | 2006 | Removing camera shake from a single photograph · ACM Trans. Graph. 2006 |
Image and video processing › image restoration
image deblurring |
0.1 | 1 | 2006 | Removing camera shake from a single photograph · ACM Trans. Graph. 2006 |
Image and video processing
image restoration |
0.0 | 1 | 2006 | Removing camera shake from a single photograph · ACM Trans. Graph. 2006 |
Methods — techniques the papers use, named apart from their topics
spatial domain prior · 0.1blind deconvolution · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Removing camera shake from a single photographabstractCamera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects. We show results for a variety of digital photographs taken from personal photo collections. Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman |
ACM Trans. Graph. | 2 |