Yizhak Ben-Shabat

According to our database, Yizhak Ben-Shabat authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

eDiGS: Extended Divergence-Guided Shape Implicit Neural Representation for Unoriented Point Clouds.

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould

World Sci. Annu. Rev. Artif. Intell., 2024

Neural Experts: Mixture of Experts for Implicit Neural Representations.

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould

CoRR, 2024

Temporally Grounding Instructional Diagrams in Unconstrained Videos.

Jiahao Zhang, Frederic Z. Zhang, Cristian Rodriguez, Yizhak Ben-Shabat, Anoop Cherian, Stephen Gould

CoRR, 2024

IKEA Ego 3D Dataset: Understanding furniture assembly actions from ego-view 3D Point Clouds.

Yizhak Ben-Shabat, Jonathan Paul, Eviatar Segev, Oren Shrout, Stephen Gould

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance.

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell, Stephen Gould

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DInAction: Understanding Human Actions in 3D Point Clouds.

Yizhak Ben-Shabat, Oren Shrout, Stephen Gould

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PatchContrast: Self-Supervised Pre-training for 3D Object Detection.

Oren Shrout, Ori Nizan, Yizhak Ben-Shabat, Ayellet Tal

CoRR, 2023

Aligning Step-by-Step Instructional Diagrams to Video Demonstrations.

Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez Opazo, Stephen Gould

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GraVoS: Voxel Selection for 3D Point-Cloud Detection.

Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Octree Guided Unoriented Surface Reconstruction.

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Stephen Gould

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

GraVoS: Gradient based Voxel Selection for 3D Detection.

Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal

CoRR, 2022

CloudWalker: Random walks for 3D point cloud shape analysis.

Adi Mesika, Yizhak Ben-Shabat, Ayellet Tal

Comput. Graph., 2022

GoferBot: A Visual Guided Human-Robot Collaborative Assembly System.

Zheyu Zhuang, Yizhak Ben-Shabat, Jiahao Zhang, Stephen Gould, Robert E. Mahony

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DiGS : Divergence guided shape implicit neural representation for unoriented point clouds.

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CloudWalker: 3D Point Cloud Learning by Random Walks for Shape Analysis.

Adi Mesika, Yizhak Ben-Shabat, Ayellet Tal

CoRR, 2021

The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose.

Yizhak Ben-Shabat, Xin Yu, Fatemeh Sadat Saleh, Dylan Campbell, Cristian Rodriguez Opazo, Hongdong Li, Stephen Gould

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

DPDist: Comparing Point Clouds Using Deep Point Cloud Distance.

Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum

Proceedings of the Computer Vision - ECCV 2020, 2020

DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares.

Yizhak Ben-Shabat, Stephen Gould

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks.

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks.

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer

IEEE Robotics Autom. Lett., 2018

Graph based over-segmentation methods for 3D point clouds.

Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer

Comput. Vis. Image Underst., 2018

2017

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks.

Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer

CoRR, 2017