Demo Data from SIGIR 2026 / reviewers in the wild / expert
Patrick Guidotti
dblp:79/6217
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2013
0000-0002-6817-2584ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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
2 papers |
Rendering · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
point-based rendering |
0.1 | 2 | 2004 | Confetti: Object-Space Point Blending and Splatting · IEEE Trans. Vis. Comput. Graph. 2004 Object-space point blending and splatting · SIGGRAPH 2003 |
Rendering › volume rendering
splatting |
0.0 | 1 | 2003 | Object-space point blending and splatting · SIGGRAPH 2003 |
Rendering
GPU rendering |
0.0 | 1 | 2004 | Confetti: Object-Space Point Blending and Splatting · IEEE Trans. Vis. Comput. Graph. 2004 |
Methods — techniques the papers use, named apart from their topics
alpha blending · 0.1texture mapping · 0.0covariance matrix · 0.0transformation-invariant covariance matrix · 0.0alpha-texture mapping · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona-Malik Type with Applications to Satellite Image EnhancementabstractA new class of anisotropic diffusion models is proposed for image processing which can be viewed either as a novel kind of regularization of the classical Perona--Malik model or, as advocated by the authors, as a new independent model. The models are diffusive in nature and are characterized by the presence of both forward and backward regimes. In contrast to the Perona--Malik model, in the proposed model the backward regime is confined to a bounded region, and gradients are only allowed to grow up to a large but tunable size, thus effectively preventing indiscriminate singularity formation, i.e., staircasing. Extensive numerical experiments demonstrate that the method is a viable denoising/deblurring tool. The method is significantly faster than competing state-of-the-art methods and appears to be particularly effective for simultaneous denoising and deblurring. An application to satellite image enhancement is also presented. Patrick Guidotti, James V. Lambers |
SIAM J. Imaging Sci. | 1 |
| 2004 | Confetti: Object-Space Point Blending and SplattingabstractIn this paper, we present Confetti, a novel point-based rendering approach based on object-space point interpolation of densely sampled surfaces. We introduce the concept of a transformation-invariant covariance matrix of a set of points which can efficiently be used to determine splat sizes in a multiresolution point hierarchy. We also analyze continuous point interpolation in object-space and we define a new class of parameterized blending kernels as well as a normalization procedure to achieve smooth blending. Furthermore, we present a hardware accelerated rendering algorithm based on texture mapping and alpha-blending as well as programmable vertex and pixel-shaders. Renato Pajarola, Miguel Sainz, Patrick Guidotti |
IEEE Trans. Vis. Comput. Graph. | 3 |
| 2003 | Object-space point blending and splattingabstractWe present a novel point-based rendering approach based on object-space point interpolation. We introduce the concept of a transformation-invariant covariance matrix of a set of points to efficiently determine splat sizes in a multiresolution hierarchy. We analyze continuous point interpolation in object-space, and define a new class of parametrized blending kernels to achieve smooth blending. Furthermore, we present a hardware accelerated rendering algorithm based on α-texture mapping and α-blending. Renato Pajarola, Miguel Sainz, Patrick Guidotti |
SIGGRAPH | 3 |