Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Single Image Object Counting and Localizing using Active-Learning
Huberman-Spiegelglas, I. & Fattal, R., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. p. 3717-3726 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Unpaired Learning for High Dynamic Range Image Tone Mapping
Vinker, Y., Huberman-Spiegelglas, I. & Fattal, R., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 14637-14646 10 p. (Proceedings of the IEEE International Conference on Computer Vision).The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Deblurring using analysis-synthesis networks pair
Kaufman, A. & Fattal, R., 2020, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 5810-5819 10 p., 9157378.The Hebrew University of Jerusalem
Research output: Contribution to journal › Conference article › peer-review
Open Access -
Object Partitioning for Support-Free 3D-Printing
Karasik, E., Fattal, R. & Werman, M., May 2019, In: Computer Graphics Forum. 38, 2, p. 305-316 12 p.The Hebrew University of Jerusalem
Research output: Contribution to journal › Article › peer-review
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Detecting Repeating Objects Using Patch Correlation Analysis
Huberman, I. & Fattal, R., 9 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 2903-2911 9 p. 7780686. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access