Inna Stainvas

According to our database, Inna Stainvas authored at least 12 papers between 2000 and 2026.

Collaborative distances:

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

2026

RGBX-DiffusionDet: a framework for multi-modal RGB-X object detection using DiffusionDet.

Eliraz Orfaig, Inna Stainvas, Igal Bilik

Pattern Recognit., 2026

2025

A Comparative Study of Vision Transformers and CNNs for Few-Shot Rigid Transformation and Fundamental Matrix Estimation.

Alon Kaya, Igal Bilik, Inna Stainvas

CoRR, October, 2025

2024

Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework.

Eliraz Orfaig, Inna Stainvas, Igal Bilik

CoRR, 2024

2016

Pedestrian motion direction estimation using simulated automotive MIMO radar.

Peter Khomchuk, Inna Stainvas, Igal Bilik

IEEE Trans. Aerosp. Electron. Syst., 2016

2014

Cancer Detection with Multiple Radiologists via Soft Multiple Instance Logistic Regression and L₁ Regularization.

Inna Stainvas, Alexandra Manevitch, Isaac Leichter

CoRR, 2014

Performance evaluation for curb detection problem.

Inna Stainvas, Yosi Buda

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2010

Towards Learning Spiculation Score of the Masses in Mammography Images.

Inna Stainvas, Jonathan Stoeckel, Eli Ratner, Menachem Abramov, Richard Lederman

Proceedings of the Digital Mammography, 2010

Is CAD Able to Assist in the Detection of Subtle Breast Findings - Lobular Cancers, and T1a/T1b Masses in Dense Breasts?

Isaac Leichter, Zahava Gallimidi, Asnat Heyman-Reiss, Nicolas Merlet, Eli Ratner, Menachem Abramov, Inna Stainvas, Richard Lederman

Proceedings of the Digital Mammography, 2010

2008

Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography.

Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas, Menahem Abramov, Alexandra Manevitch

Proceedings of the Digital Mammography, 2008

2003

A Generative Probabilistic Oriented Wavelet Model for Texture Segmentation.

Inna Stainvas, David Lowe

Neural Process. Lett., 2003

A Generative Model for Separating Illumination and Reflectance from Images.

Inna Stainvas, David Lowe

J. Mach. Learn. Res., 2003

2000

Blurred Face Recognition via a Hybrid Network Architecture.

Inna Stainvas, Nathan Intrator

Proceedings of the 15th International Conference on Pattern Recognition, 2000