J
Jieyi Zhao
Researcher at University of Texas Health Science Center at Houston
Publications - 19
Citations - 234
Jieyi Zhao is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Collision detection & Graph (abstract data type). The author has an hindex of 8, co-authored 18 publications receiving 182 citations. Previous affiliations of Jieyi Zhao include Zhejiang University & University of Texas at Austin.
Papers
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SMI 2012: Full GPU accelerated convex hull computation
TL;DR: A hybrid algorithm to compute the convex hull of points in three or higher dimensional spaces using a GPU-based interior point filter to cull away many of the points that do not lie on the boundary and a pseudo-hull that is contained inside the conveX hull of the original points is computed.
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P-cloth: interactive complex cloth simulation on multi-GPU systems using dynamic matrix assembly and pipelined implicit integrators
TL;DR: A novel parallel algorithm for cloth simulation that exploits multiple GPUs for fast computation and the handling of very high resolution meshes and a novel collision handling scheme that uses spatial hashing for discrete and continuous collision detection along with a non-linear impact zone solver are presented.
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Robust object recognition via weakly supervised metric and template learning
TL;DR: A new framework for object recognition via weakly supervised metric and template learning, wherein the optimal metric and templates are jointly learned, whose advantages include high computational speed, and robustness against image noise and unbalanced training data.
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Face recognition based on subset selection via metric learning on manifold
TL;DR: A metric learning approach is employed which helps find the active elements correctly by taking into account the interclass/intraclass relationship and manifold structure of face images.
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GPU Accelerated Real-Time Collision Handling in Virtual Disassembly
TL;DR: This work presents a novel GPU-based collision handling framework for virtual disassembly that uses a collision-streams based continuous collision detection and introduces a triangle intersection detection algorithm to solve the problem that collision cannot be detected when the components are embedded into each other at the initial configuration.