2 citations · 3 across the 7 of their papers we have counts for
7 papers
Assistant Placement Aria: A Benchmark for Egocentric Placement Assistance
Amir Belder, Gonçalo Dias Pais, Refael Vivanti +5
Human assistance in robotics spans around several tasks such as navigation, object manipulation, and placement, where a key challenge is selecting target destinations that align wi…
HOLA: Holistic Multi-Modal Alignment for Open-Set 3D Recognition
Koby Aharonov, Oren Shrout, Ayellet Tal
Open-set 3D recognition requires models that generalize to rare or unseen categories. Recent approaches address this by distilling language-vision knowledge into 3D encoders, typic…
Concept Retrieval -- What and How?
Ori Nizan, Oren Shrout, Ayellet Tal
A concept may reflect either a concrete or abstract idea. Given an input image, this paper seeks to retrieve other images that share its central concepts, capturing aspects of the…
SFMNet: Sparse Focal Modulation for 3D Object Detection
Oren Shrout, Ayellet Tal
We propose SFMNet, a novel 3D sparse detector that combines the efficiency of sparse convolutions with the ability to model long-range dependencies. While traditional sparse convol…
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Oren Shrout, Ori Nizan, Yizhak Ben-Shabat +1
Accurately detecting objects in the environment is a key challenge for autonomous vehicles. However, obtaining annotated data for detection is expensive and time-consuming. We intr…
3DInAction: Understanding Human Actions in 3D Point Clouds
Yizhak Ben-Shabat, Oren Shrout, Stephen Gould
We propose a novel method for 3D point cloud action recognition. Understanding human actions in RGB videos has been widely studied in recent years, however, its 3D point cloud coun…
GraVoS: Voxel Selection for 3D Point-Cloud Detection
Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal
3D object detection within large 3D scenes is challenging not only due to the sparsity and irregularity of 3D point clouds, but also due to both the extreme foreground-background s…