Ariel Shamir
About Ariel Shamir
- Affiliations
- The Walt Disney Company, Disney Research
- Reichman University
- The Interdisciplinary Center, Herzliya
- The Hebrew University of Jerusalem, Institute of Computer Science
- Bio
SIGGRAPH 2020
Prof. Ariel Shamir is the Dean of the Efi Arazi school of Computer Science at the Interdisciplinary Center in Israel. He received his Ph.D. from the Hebrew University in Jerusalem, and spent two years as PostDoc in the computational visualization centre at UT Austin. Ariel has numerous publications and a number of patents. He was listed on the Thomson Reuters highly cited researchers in 2015. Ariel has a broad commercial experience consulting various companies including Disney research, Mitsubishi Electric, PrimeSense (now Apple), Verisk and more. He specializes in geometric modeling, computer graphics, image processing and machine learning.
SIGGRAPH ASIA 2014
Ariel Shamir is a Professor at the school of Computer Science at the Interdisciplinary Center in Israel, where he is currently the vice-dean. Prof. Shamir received his Ph.D. in computer science in 2000 from the Hebrew University in Jerusalem. He spent two years at the center for computational visualization at the University of Texas in Austin. He was a visiting scientist at Mitsubishi Electric Research Labs in Cambridge MA (2006), Disney Research Boston, and MIT (2013). Prof. Shamir has numerous publications in journals and international refereed conferences, and a broad commercial experience working with, and consulting numerous companies including Mitsubishi Electric, Disney, PrimeSense (now Apple) and more. He is an associate editor for Computer Graphics Forum and Computers and Graphics journals. Prof. Shamir specializes in geometric modeling, computer graphics and machine learning.
SIGGRAPH Asia 2009
Ariel Shamir is a senior lecturer at the Efi Arazi School of Computer Science in Israel. He received his PhD in computer science in 2000 from the Hebrew University in Jerusalem. He has published and presented in journals, tutorials, and lectures in several international conferences. He also has broad commercial experience in managing and consulting with several companies, including Mistubishi Electric and Disney Research. He has co-authored several patents both internationally and in the US, including the patents on seam-carving.
- Awards and Recognition
- SIGGRAPH 2022 Technical Paper Best in Show Award: Vinker, Pajouheshgar, Bo, Bachmann, Bermano, et al. …
- ACM SIGGRAPH Academy Member, inducted in 2024
SIGGRAPH Conference Organizing Committee Positions
- Jury Member
- SIGGRAPH 2011: Technical Papers
Conference Contributions
- Experiences
- Presentations
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- Sessions Moderated
- “Computational Design of Transforming Pop-up Books” by Xiao, Zhu, Martin, Xu, Lu, et al. …
- “Interactive exploration of design trade-offs” by Schulz, Wang, Grinspun, Solomon and Matusik
- “Foldsketch: enriching garments with physically reproducible folds” by Li, Sheffer, Grinspun and Vining
- “Autocomplete 3D sculpting” by Peng, Xing and Wei
- “DecoBrush: drawing structured decorative patterns by example” by Lu, Barnes, Wan, Asente, Mech, et al. …
- “Learning a manifold of fonts” by Campbell and Kautz
- “Exploratory font selection using crowdsourced attributes” by O’Donovan, Lībeks, Agarwala and Hertzmann
- “A similarity measure for illustration style” by Garces, Agarwala, Gutierrez and Hertzmann
- “Look over here: attention-directing composition of manga elements” by Cao, Lau and Chan
- “Unmixing-Based Soft Color Segmentation for Image Manipulation” by Aksoy, Smolic, Pollefeys and Aydin
- “Interactive High-Quality Green-Screen Keying via Color Unmixing” by Lien, Tan and Gingold
- “Playful palette: an interactive parametric color mixer for artists” by Shugrina, Lu and DiVerdi
- “Constrained palette-space exploration” by Mellado, Vanderhaeghe, Hoarau, Christophe, Bredif, et al. …
- “VideoDoodles: Hand-drawn Animations on Videos With Scene-aware Canvases” by Yu, Nguyen, Matzen, Wang, Kazi, et al. …
- “StripMaker: Perception-driven Learned Vector Sketch Consolidation” by Liu, Aoki, Bessmeltsev and Sheffer
- “Semi-supervised Reference-based Sketch Extraction Using a Contrastive Learning Framework” by Seo, Ashtari and Noh
- “HiGAN+: Handwriting Imitation GAN With Disentangled Representations” by Gan, Wang, Leng and Gao
- “AniFaceDrawing: Anime Portrait Exploration During Your Sketching” by Huang, Xie, Fukusato and Miyata
- “A Method for Animating Children’s Drawings of the Human Figure” by Smith, Zheng, Li, Jain and Hodgins
- “MovieReshape: tracking and reshaping of humans in videos”
- “Metric-aware processing of spherical imagery”
- “Stereoscopic 3D copy & paste”
- “Data-driven image color theme enhancement”
- “Diffusion maps for edge-aware image editing”
- “Deep unsupervised pixelization”
- “CariGANs: unpaired photo-to-caricature translation”
- “DeepLens: shallow depth of field from a single image”
- “Invertible grayscale”
Other Information
- Roles
- ACM SIGGRAPH Academy Member
- Awardee
- Course Organizer
- Course Presenter
- Studio (SIGGRAPH Lab) Presenter
- Talk (Sketch) Presenter
- Technical Paper Moderator
- Technical Paper Presenter
- Technical Papers Jury Member
- Technical Papers Organizing Committee Member
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