Yizhak Ben-Shabat

Orcid: 0000-0001-7547-7493

According to our database1, Yizhak Ben-Shabat authored at least 29 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation.
CoRR, May, 2026

WiSAR3D - Aerial LiDAR dataset for 3D object detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
VI3NR: Variance Informed Initialization for Implicit Neural Representations.
CoRR, April, 2025

Temporally Grounding Instructional Diagrams in Unconstrained Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Less is More: Improving Motion Diffusion Models with Sparse Keyframes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

PatchContrast: Self-Supervised Pre-Training for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

VI^3NR: Variance Informed Initialization for Implicit Neural Representations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
eDiGS: Extended Divergence-Guided Shape Implicit Neural Representation for Unoriented Point Clouds.
World Sci. Annu. Rev. Artif. Intell., 2024

IKEA Ego 3D Dataset: Understanding furniture assembly actions from ego-view 3D Point Clouds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Neural Experts: Mixture of Experts for Implicit Neural Representations.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DInAction: Understanding Human Actions in 3D Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GraVoS: Voxel Selection for 3D Point-Cloud Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Octree Guided Unoriented Surface Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GraVoS: Gradient based Voxel Selection for 3D Detection.
CoRR, 2022

CloudWalker: Random walks for 3D point cloud shape analysis.
Comput. Graph., 2022

GoferBot: A Visual Guided Human-Robot Collaborative Assembly System.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DiGS : Divergence guided shape implicit neural representation for unoriented point clouds.
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.
CoRR, 2021

The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance.
Proceedings of the Computer Vision - ECCV 2020, 2020

DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks.
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.
IEEE Robotics Autom. Lett., 2018

Graph based over-segmentation methods for 3D point clouds.
Comput. Vis. Image Underst., 2018

2017
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks.
CoRR, 2017


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