7 papers · 1 filter
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…
MME: Mixture of Mesh Experts with Random Walk Transformer Gating
Amir Belder, Ayellet Tal
In recent years, various methods have been proposed for mesh analysis, each offering distinct advantages and often excelling on different object classes. We present a novel Mixture…
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…
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…
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…
Image-aware Evaluation of Generated Medical Reports
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal
The paper proposes a novel evaluation metric for automatic medical report generation from X-ray images, VLScore. It aims to overcome the limitations of existing evaluation methods,…