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Yosi Keller
Researcher at Bar-Ilan University
Publications - 89
Citations - 3494
Yosi Keller is an academic researcher from Bar-Ilan University. The author has contributed to research in topics: Image registration & Motion estimation. The author has an hindex of 26, co-authored 79 publications receiving 2902 citations. Previous affiliations of Yosi Keller include Technion – Israel Institute of Technology & Tel Aviv University.
Papers
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Proceedings ArticleDOI
FSGAN: Subject Agnostic Face Swapping and Reenactment
TL;DR: A novel recurrent neural network (RNN)-based approach for face reenactment which adjusts for both pose and expression variations and can be applied to a single image or a video sequence and uses a novel Poisson blending loss which combines Poisson optimization with perceptual loss.
Journal ArticleDOI
Data Fusion and Multicue Data Matching by Diffusion Maps
TL;DR: This paper presents the Laplace-Beltrami approach for computing density invariant embeddings which are essential for integrating different sources of data and describes a refinement of the Nystrom extension algorithm called "geometric harmonics."
Patent
Methods for filtering data and filling in missing data using nonlinear inference
TL;DR: In this paper, a method for inferring/estimating missing values in a data matrix d(q, r) having a plurality of rows and columns comprises the steps of: organizing the columns of the data matrix D(q and r) into affinity folders of columns with similar data profile.
Journal ArticleDOI
Scale-Invariant Features for 3-D Mesh Models
T. Darom,Yosi Keller +1 more
TL;DR: This paper proposes an intrinsic scale detection scheme per interest point and utilizes it to derive two scale-invariant local features for mesh models that were experimentally shown to be robust to scale changes and partial mesh matching, and they were compared favorably with other local mesh features on the SHREC'10 andSHREC'11 testbeds.
Proceedings ArticleDOI
SHREC 2011: robust feature detection and description benchmark
Edmond Boyer,Alexander M. Bronstein,Michael M. Bronstein,Benjamin Bustos,T. Darom,Radu Horaud,Ingrid Hotz,Yosi Keller,Johannes Keustermans,Artiom Kovnatsky,Roee Litman,Jan Reininghaus,Ivan Sipiran,Dirk Smeets,Paul Suetens,Dirk Vandermeulen,Andrei Zaharescu,Valentin Zobel +17 more
TL;DR: A benchmark that simulates the feature detection and description stages of feature-based shape retrieval algorithms under a wide variety of transformations is presented.