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2020 – today
- 2024
[c12]Guy Bar-Shalom, George Leifman, Michael Elad:
Weakly-Supervised Representation Learning for Video Alignment and Analysis. WACV 2024: 6895-6904- [i6]Omer Belhasin, Idan Kligvasser, George Leifman, Regev Cohen, Erin Rainaldi, Li-Fang Cheng, Nishant Verma, Paul Varghese, Ehud Rivlin, Michael Elad:
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models. CoRR abs/2405.11566 (2024) - [i5]Idan Kligvasser, Regev Cohen, George Leifman, Ehud Rivlin, Michael Elad:
Anchored Diffusion for Video Face Reenactment. CoRR abs/2407.15153 (2024) - 2023
- [c11]Idan Kligvasser, George Leifman, Roman Goldenberg, Ehud Rivlin, Michael Elad:
Semi-supervised Quality Evaluation of Colonoscopy Procedures. ICCV (Workshops) 2023: 2347-2355 - [c10]George Leifman, Idan Kligvasser, Roman Goldenberg
, Ehud Rivlin, Michael Elad:
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. CaPTion@MICCAI 2023: 107-118 - [i4]Guy Bar-Shalom, George Leifman, Michael Elad, Ehud Rivlin:
Weakly-supervised Representation Learning for Video Alignment and Analysis. CoRR abs/2302.04064 (2023) - [i3]George Leifman, Idan Kligvasser, Roman Goldenberg, Michael Elad, Ehud Rivlin:
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time. CoRR abs/2305.10026 (2023) - [i2]Idan Kligvasser, George Leifman, Roman Goldenberg, Ehud Rivlin, Michael Elad:
Semi-supervised Quality Evaluation of Colonoscopy Procedures. CoRR abs/2305.10090 (2023) - 2022
- [c9]George Leifman, Amit Aides, Tomer Golany, Daniel Freedman, Ehud Rivlin:
Pixel-accurate Segmentation of Surgical Tools based on Bounding Box Annotations. ICPR 2022: 5096-5103 - [c8]Miriam Farber, Roman Goldenberg, George Leifman, Gal Novich:
Novel Ensemble Diversification Methods for Open-Set Scenarios. WACV 2022: 3361-3370
2010 – 2019
- 2017
- [c7]George Leifman, Dmitry Rudoy, Tristan Swedish, Eduardo Bayro-Corrochano, Ramesh Raskar:
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation. ICCV 2017: 1707-1716 - 2016
- [j6]George Leifman, Elizabeth Shtrom, Ayellet Tal:
Surface Regions of Interest for Viewpoint Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2544-2556 (2016) - [i1]George Leifman, Dmitry Rudoy, Tristan Swedish, Eduardo Bayro-Corrochano, Ramesh Raskar:
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation. CoRR abs/1603.03669 (2016) - 2015
- [c6]George Leifman, Tristan Swedish, Karin Roesch, Ramesh Raskar:
Leveraging the crowd for annotation of retinal images. EMBC 2015: 7736-7739 - 2013
- [j5]Michael Kolomenkin, George Leifman, Ilan Shimshoni, Ayellet Tal:
Reconstruction of relief objects from archeological line drawings. ACM Journal on Computing and Cultural Heritage 6(1): 3:1-3:19 (2013) - [c5]George Leifman, Ayellet Tal:
Pattern-Driven Colorization of 3D Surfaces. CVPR 2013: 241-248 - [c4]Elizabeth Shtrom, George Leifman, Ayellet Tal:
Saliency Detection in Large Point Sets. ICCV 2013: 3591-3598 - 2012
- [j4]George Leifman, Ayellet Tal:
Mesh Colorization. Comput. Graph. Forum 31(2pt2): 421-430 (2012) - [c3]George Leifman, Elizabeth Shtrom, Ayellet Tal:
Surface regions of interest for viewpoint selection. CVPR 2012: 414-421 - 2011
- [c2]Michael Kolomenkin, George Leifman, Ilan Shimshoni, Ayellet Tal:
Reconstruction of relief objects from line drawings. CVPR 2011: 993-1000
2000 – 2009
- 2006
- [j3]Idan Shatz, Ayellet Tal, George Leifman:
Paper craft models from meshes. Vis. Comput. 22(9-11): 825-834 (2006) - 2005
- [j2]Sagi Katz, George Leifman, Ayellet Tal:
Mesh segmentation using feature point and core extraction. Vis. Comput. 21(8-10): 649-658 (2005) - [j1]George Leifman, Ron Meir, Ayellet Tal:
Semantic-oriented 3d shape retrieval using relevance feedback. Vis. Comput. 21(8-10): 865-875 (2005) - [c1]Tal Hassner, Lihi Zelnik-Manor, George Leifman, Ronen Basri:
Minimal-Cut Model Composition. SMI 2005: 72-81
Coauthor Index
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