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Hadi Partovi

dblp:65/1220 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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
Computer animation and physical simulation · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation › character animation
articulated figure animation
0.011995
Further Experience with Controller-Based Automatic Motion Synthesis for Articulated Figures · ACM Trans. Graph. 1995
Computer animation and physical simulation
motion synthesis
0.011995
Further Experience with Controller-Based Automatic Motion Synthesis for Articulated Figures · ACM Trans. Graph. 1995

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

automatic motion synthesis algorithm · 0.0
YearPublicationVenuePosition
2014 Transforming US education with computer science
abstract
Code.org first exploded on the CS education scene in Feb 2013 with its first video featuring Mark Zuckerberg and Bill Gates talking about computer science. 10 months later, it launched an Hour of Code campaign that has taken the world by storm. Reaching 10 million students in just 3 days, the Hour of Code became the fastest-spreading service in the history of technology OR education. Code.org founder Hadi Partovi will talk about how he came up with the concepts behind these grassroots campaigns, and how Code.org hopes to harness the reach of the broader CS community to grow computer science education in schools.
Hadi Partovi
SIGCSE1
1995 Further Experience with Controller-Based Automatic Motion Synthesis for Articulated Figures
abstract
We extend an earlier automatic motion-synthesis algorithm for physically realistic articulated figures in several ways. First, we summarize several incremental improvements to the original algorithm that improve its efficiency significantly and provide the user with some ability to influence what motions are generated. These techniques can be used by an animator to achieve a desired movement style, or they can be used to guarantee variety in the motions synthesized over several runs of the algorithm. Second, we report on new mechanisms that support the concatenation of existing, automatically generated motion controllers to produce complex, composite movement. Finally, we describe initial work on generalizing the techniques from 2D to 3D articulated figures. Taken together, these results illustrate the promise and challenges afforded by the controller-based approach to automatic motion synthesis for computer animation.
Joel Auslander, Alex S. Fukunaga, Hadi Partovi, Jon Christensen, Lloyd Hsu, Peter Reiss, Andrew Shuman, Joe Marks, J. Thomas Ngo
ACM Trans. Graph.3