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Zhunping Zhang

dblp:83/2356 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
Computational photography and imaging · 39% Rendering · 30% Geometric modeling and processing · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
image-based rendering
0.012002
Feature-based light field morphing · ACM Trans. Graph. 2002
Computational photography and imaging › light field imaging
light field warping
0.012002
Feature-based light field morphing · ACM Trans. Graph. 2002
Geometric modeling and processing › shape deformation
shape morphing
0.012002
Feature-based light field morphing · ACM Trans. Graph. 2002
Computational photography and imaging
light field imaging
0.012002
Feature-based light field morphing · ACM Trans. Graph. 2002

Methods — techniques the papers use, named apart from their topics

ray-space warping · 0.0ray correspondence · 0.0feature polygons · 0.0
YearPublicationVenuePosition
2013 On-the-fly pipeline parallelism
abstract
Pipeline parallelism organizes a parallel program as a linear sequence of s stages. Each stage processes elements of a data stream, passing each processed data element to the next stage, and then taking on a new element before the subsequent stages have necessarily completed their processing. Pipeline parallelism is used especially in streaming applications that perform video, audio, and digital signal processing. Three out of 13 benchmarks in PARSEC, a popular software benchmark suite designed for shared-memory multiprocessors, can be expressed as pipeline parallelism.
I-Ting Angelina Lee, Charles E. Leiserson, Tao B. Schardl, Jim Sukha, Zhunping Zhang
SPAA5
2002 Feature-based light field morphing
abstract
We present a feature-based technique for morphing 3D objects represented by light fields. Our technique enables morphing of image-based objects whose geometry and surface properties are too difficult to model with traditional vision and graphics techniques. Light field morphing is not based on 3D reconstruction; instead it relies on ray correspondence, i.e., the correspondence between rays of the source and target light fields. We address two main issues in light field morphing: feature specification and visibility changes. For feature specification, we develop an intuitive and easy-to-use user interface (UI). The key to this UI is feature polygons, which are intuitively specified as 3D polygons and are used as a control mechanism for ray correspondence in the abstract 4D ray space. For handling visibility changes due to object shape changes, we introduce ray-space warping. Ray-space warping can fill arbitrarily large holes caused by object shape changes; these holes are usually too large to be properly handled by traditional image warping. Our method can deal with non-Lambertian surfaces, including specular surfaces (with dense light fields). We demonstrate that light field morphing is an effective and easy-to-use technqiue that can generate convincing 3D morphing effects.
Zhunping Zhang, Lifeng Wang 0001, Baining Guo, Harry Shum
ACM Trans. Graph.1