Publictions Highlights

ikea dataset summary

Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez-Opazo, Hongdong Li, Stephen Gould, “The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose”, WACV (online), 2021.
[preprint] [project website] [full video] [code]

DeepFit surface estimation for 3D point clouds pipeline

Yizhak Ben-Shabat, Stephen-Gould, “DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares”, ECCV (oral), 2020.
[preprint] [short video] [full video] [code]

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer, “Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks”, CVPR, 2019.
[paper] [prepring] [video] [code]

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer, “3DmFV: 3D Point Cloud Classification in Real-Time using Convolutional Neural Networks “, IEEE Robotics and Automation Letters (RA-L), 2018.
[paper] [preprint] [teaser video][presentation video] [code]

Y. Ben-Shabat, T. Avraham, M. Lindenbaum, and A. Fischer. Graph Based Over-Segmentation Methods for 3D Point Clouds. 2018. Computer Vision and Image Understanding (CVIU), Vol. 174, pp. 12-23, 2018.
[paper]

Full Publication List (chronological order)

ikea dataset summary

Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez-Opazo, Hongdong Li, Stephen Gould, “The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose”, WACV (online), 2021.
[preprint] [project website] [full video] [code]

Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum “DPDist : Comparing Point Clouds Using Deep Point Cloud Distance”, ECCV , 2020.
[preprint] [video]

DeepFit surface estimation for 3D point clouds pipeline

Yizhak Ben-Shabat, Stephen-Gould, “DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares”, ECCV (oral), 2020.
[preprint] [short video] [full video] [code]

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer, “Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks”, CVPR, 2019.
[paper] [prepring] [video] [code]

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer, “3DmFV: 3D Point Cloud Classification in Real-Time using Convolutional Neural Networks “, IEEE Robotics and Automation Letters (RA-L), 2018.
[paper] [preprint] [teaser video][presentation video] [code]

Y. Ben-Shabat, T. Avraham, M. Lindenbaum, and A. Fischer. Graph Based Over-Segmentation Methods for 3D Point Clouds. 2018. Computer Vision and Image Understanding (CVIU), Vol. 174, pp. 12-23, 2018.
[paper]

Gil Elbaz, Yizhak Ben-Shabat, Anath Fischer, ” Geometric Analysis of Porous Structures Based on Hough Transform and Genetic Algorithms for Additive Manufacturing” Virtual and Physical Prototyping, pp. 69-76, Apr. 2016. 
[paper]

Yizhak Ben-Shabat, Tamar Avraham, Gil Elbaz, Anath Fischer, Michael Lindenbaum, “Graph Based Over-segmentation of 3D Point Cloud Representation of Urban Scenes”. ICME Conference 2016, Haifa, Israel.

Yizhak Ben-Shabat, Gil Elbaz, AnathFischer, “Graph Based Over-segmentation of Bone Porous Micro-structure”, the 14th International Symposium on Biomechanics and Biomedical Engineering. 2016, Tel Aviv, Israel.

Yizhak Ben Shabat, Anath Fischer, “Design of Adaptive Porous Micro-structures using Curvature Analysis for Additive Manufacturing” the 25th CIRP Design Conference. 2015, Haifa, Israel. 
[paper]

Y. Ben Shabat, A. Fischer, “Design of Adaptive Porous Micro-structures for Additive Manufacturing”, the 24th CIRP Design Conference. 2014, Milan, Italy. 
[paper]

D. Tansky, A. Fischer, B. Colosimo, L. Pagani, Y. Ben Shabat, “Multi-Sensor Multi-Resolution Data Fusion Modeling” the 24th CIRP Design Conference. 2014, Milan, Italy. 
[paper]

If you found this interesting, you might also like my awards and CV pages.