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ALL PRESENTATIONS FROM THE ICCVi EVENT TLV19

October 6, 2019 sherry 0 Data Science, Design, Engineering, Explaining of Israel, Technology,

Oron Ashual, Lior Wolf: Specifying Object Attributes and Relations in Interactive Scene Generation.
IEEE International Conference on Computer Vision (ICCV), 2019.
Papers With Code ResearchGate arXiv

1909.05379

Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor: Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks.
GitHub arXiv

1811.08760

Dynamic_Net_supplementary_ICCV

Yuval Nirkin, Yosi Keller, Tal Hassner: FSGAN: Subject Agnostic Face Swapping and Reenactment.
Medium ODSC GroundAI arXiv

1908.05932

Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or: CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition.
arXiv

1811.07441

Dan Levi, Noa Garnett, Rafi Cohen, Tomer Pe’er, Roee Lahav: 3D-LaneNet: End-to-End 3D Multiple Lane Detection.
Papers With Code arXiv

1811.10203v3-1

Tomer Cohen, Lior Wolf: Bidirectional One-Shot Unsupervised Domain Mapping.
IEEE International Conference on Computer Vision (ICCV), 2019.
Papers With Code ResearchGate arXiv

1909.01595v1

Oran Gafni, Lior Wolf, Yaniv Taigman: Live Face De-Identification in Video.
IEEE International Conference on Computer Vision (ICCV), 2019.
OpenReview

Live-Face-De-Identification-in-Video

Liat Sless, Gilad Cohen, Shaul Oron, Bat-El Shlomo: Road Scene Understanding by Occupancy Grid Learning from Sparse Radar Clusters using Semantic Segmentation.
Papers With Code ResearchGate GroundAI GitHub arXiv

1904.00415v2

Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik: Cooperative Image Captioning.
Papers With Code ResearchGate Semantic Scholar Google Scholar Deep Learning Monitor arXiv

1907.11565

Assaf Shocher, Shai Bagon, Philip Isola, Michal Irani: InGAN: Capturing and Retargeting the DNA of a Natural Image.
Papers With Code Semantic Scholar Weizmann Institute of Science arXiv

1812.00231

Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf: Domain Intersection and Domain Difference.
Papers With Code ResearchGate Semantic Scholar DeepAI GitHub arXiv

1908.11628v1

Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor: Adversarial Feedback Loop.
Papers With Code ResearchGate Semantic Scholar Supplementary GitHub arXiv

1811.08126

Uriel Singer, Ido Guy, Kira Radinsky; (IJAIC19): Node Embedding over Temporal Graphs
Medium Papers With Code ResearchGate (Conference Paper) ResearchGate (Preprint) Semantic Scholar GitHub arXiv

1903.08889

Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder: Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network.
IEEE International Conference on Computer Vision (ICCV), 2019.
Papers With Code ResearchGate (Preprint) GroundAI Semantic Scholar PbLab TAU GitHub arXiv

1908.01373

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Best Paper Award (Marr Prize): SinGAN: Learning a Generative Model from a Single Natural Image

[pdf] [supp] [bibtex]

??????: ???????? ? ?????????? ????? ???? ? ?????? ??????? ?????• • •???? ?? ??? ???’? ?????? ??? ?????, ????????.

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????? ???? ??????, ???? ?????, ????? ????????
https://tomer.net.technion.ac.il/
https://www.linkedin.com/in/tomermichaeli/
https://www.linkedin.com/in/tali-dekel-1975b338/
https://www.linkedin.com/in/tamar-rott-shaham-b17714162/
• • •
https://codesign.blog/event/iccv-2019-seoul-korea/
https://codesign.blog/2019/10/06/all-presentations-from-the-iccvi-event-tlv19/
https://codesign.blog/2019/11/16/win-ai-2019/
• • •
CVF Open Access>> http://openaccess.thecvf.com/content_ICCV_2019/papers/Shaham_SinGAN_Learning_a_Generative_Model_From_a_Single_Natural_Image_ICCV_2019_paper.pdf
arXiv>> https://arxiv.org/abs/1905.01164
PDF>> https://arxiv.org/pdf/1905.01164.pdf
Medium>> https://medium.com/syncedreview/iccv-2019-best-papers-announced-27a1a21311e1
Quora>> https://www.quora.com/q/deeplearning/SinGAN-Learning-a-Generative-Model-from-a-Single-Natural-Image
GitHub>> https://github.com/FriedRonaldo/SinGAN
Tamar Rott Shaham’s GitHub>> https://github.com/tamarott/SinGAN
reddit>> https://www.reddit.com/r/MachineLearning/comments/doiukh/190501164_singan_learning_a_generative_model_from/
• • •

Google at ICCV 2019>> https://ai.googleblog.com/2019/10/google-at-iccv-2019.html
Semantic Scholar>> https://www.semanticscholar.org/paper/SinGAN%3A-Learning-a-Generative-Model-from-a-Single-Shaham-Dekel/ccaf15d4ad006171061508ca0a99c73814671501
CVF Open Access>> http://openaccess.thecvf.com/content_ICCV_2019/html/Shaham_SinGAN_Learning_a_Generative_Model_From_a_Single_Natural_Image_ICCV_2019_paper.html
ResearchGate>> https://www.researchgate.net/publication/332873614_SinGAN_Learning_a_Generative_Model_from_a_Single_Natural_Image
“ICCV 2019 Review [2] Best Paper SinGAN： Learning a Generative Model from a Single Natural Image 리뷰”
• • •

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https://codesign.blog/community

SinGAN-Learning-a-Generative-Model-from-a-Single-Natural-Image

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