Alper Yilmaz

Prof. Alper Yilmaz

Ohio State University, USA
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Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
YLYe Lyu
Ye Lyu
GVGeorge Vosselman
George Vosselman
Gui-Song XiaGui-Song Xia
Gui-Song Xia
AYAlper Yilmaz
Alper Yilmaz
MYMichael Ying Yang
Michael Ying Yang
20 September 2004 in IEEE Transactions on Pattern Analysis and Machine Intelligence
Verified
Journal Article
Closed access
AYAlper Yilmaz
Alper Yilmaz
XLXin Li
Xin Li
MSM. Shah
M. Shah
We propose a tracking method which tracks the complete object regions, adapts to changing visual features, and handles occlusions. Tracking is achieved by evolving the contour from frame to frame by minimizing some energy functional evaluated in the contour vicinity defined by a band. Our approach has two major components related to the visual features and the object shape. Visual features (color, texture) are modeled by semiparametric models and are fused using independent opinion polling. Shape priors consist of shape level sets and are used to recover the missing object regions during occlusion. We demonstrate the performance of our method in real sequences with and without object occlusions.
1 November 2002 in International Journal of Computer Vision
Verified
Journal Article
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CRCen Rao
Cen Rao
AYAlper Yilmaz
Alper Yilmaz
MSMubarak Shah
Mubarak Shah
8 November 2010 in Nucleic Acids Research
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Journal Article
Open access
PDF file
AYAlper Yilmaz
Alper Yilmaz
MMMaria Katherine Mejia-Guerra
Maria Katherine Mejia-Guerra
KKKyle Kurz
Kyle Kurz
XLXiaoyu Liang
Xiaoyu Liang
LWLonnie Welch
Lonnie Welch
EGErich Grotewold
Erich Grotewold
The Arabidopsis Gene Regulatory Information Server (AGRIS; http://arabidopsis.med.ohio-state.edu/ ) provides a comprehensive resource for gene regulatory studies in the model plant Arabidopsis thaliana . Three interlinked databases, AtTFDB, AtcisDB and AtRegNet, furnish comprehensive and updated information on transcription factors (TFs), predicted and experimentally verified cis -regulatory elements (CREs) and their interactions, respectively. In addition to significant contributions in the identification of the entire set of TF–DNA interactions, which are the key to understand the gene regulatory networks that govern Arabidopsis gene expression, tools recently incorporated into AGRIS include the complete set of words length 5–15 present in the Arabidopsis genome and the integration of AtRegNet with visualization tools, such as the recently developed ReIN application. All the information in AGRIS is publicly available and downloadable upon registration.
1 August 2012 in Genes & Development
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Journal Article
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NBNathalie Bolduc
Nathalie Bolduc
AYAlper Yilmaz
Alper Yilmaz
MMMaria Katherine Mejia-Guerra
Maria Katherine Mejia-Guerra
KMKengo Morohashi
Kengo Morohashi
DODevin O'Connor
Devin O'Connor
SHSarah Hake
Sarah Hake
KNOTTED1 (KN1)-like homeobox (KNOX) transcription factors function in plant meristems, self-renewing structures consisting of stem cells and their immediate daughters. We defined the KN1 cistrome in maize inflorescences and found that KN1 binds to several thousand loci, including 643 genes that are modulated in one or multiple tissues. These KN1 direct targets are strongly enriched for transcription factors (including other homeobox genes) and genes participating in hormonal pathways, most significantly auxin, demonstrating that KN1 plays a key role in orchestrating the upper levels of a hierarchical gene regulatory network that impacts plant meristem identity and function.
27 July 2005
Verified
Conference Paper
Closed access
AYAlper Yilmaz
Alper Yilmaz
MSMubarak Shah
Mubarak Shah
In this paper, we propose to model an action based on both the shape and the motion of the performing object. When the object performs an action in 3D, the points on the outer boundary of the object are projected as 2D (x, y) contour in the image plane. A sequence of such 2D contours with respect to time generates a spatiotemporal volume (STV) in (x, y, t), which can be treated as 3D object in the (x, y, t) space. We analyze STV by using the differential geometric surface properties to identify action descriptors capturing both spatial and temporal properties. A set of action descriptors is called an action sketch. The first step in our approach is to generate STV by solving the point correspondence problem between consecutive frames. The correspondences are determined using a two-step graph theoretical approach. After the STV is generated, actions descriptors are computed by analyzing the differential geometric properties of STV. Finally, using these descriptors, we perform action recognition, which is also formulated as graph theoretical problem. Several experimental results are presented to demonstrate our approach.