Bio
I am an algorithm researcher at Applied Materials focusing on computer vision, image processing, machine and deep learning.I completed my Ph.D. in Computer Science at Kingston University London, under the supervision of Jean-Christophe Nebel. Previously, I completed my M.Sc. in Computer Science at the Weizmann Institute of Science, under the supervision of Ronen Basri. I received my undergraduate degree in Computer Science from the Hebrew University of Jerusalem.
- Currently: Algorithm Developer at Applied Materials
- Previously: Intel and Elbit
- Education:
- BSc in CS, The Hebrew University, 2011
- MSc in CS, Weizmann Institute, 2013
- PhD in CS, Kingston University London, 2021
Research Interests
- Computer Vision
- Deep Learning
- Image Processing
- Machine Learning
Publications
- Efficient Bayesian Detection of Faint Curved Edges in Noisy Images
Nati Ofir and Ronen Basri
Weizmann Institute of Science, 2013
[THESIS]
- Fast Detection of Curved Edges at Low SNR
Nati Ofir, Meirav Galun, Boaz Nadler and Ronen Basri
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, CVPR-16 (2016)
[PDF] [CODE-C++] [CODE-Matlab] [PROJECT PAGE] [IMVC 2014] [ICVSS 2014]
- Photometric Stereo by Hemispherical Metric Embedding
Ofer Bartal, Nati Ofir, Yaron Lipman and Ronen Basri
Springer Journal of Mathematical Imaging and Vision (JMIV), July 2017
[PDF]
- Deep Multi-Spectral Registration using Invariant Descriptor Learning
Nati Ofir, Shai Silberstein, Hila Levi, Dani Rozenbaum, Yosi Keller and Sharon Duvdevani Bar
IEEE International Conference on Image Processing (ICIP), Athens, ICIP-18 (2018)
[PDF] [POSTER]
- Registration and Fusion of Multi-Spectral Images using a Novel Edge Descriptor
Nati Ofir, Shai Silberstein, Dani Rozenbaum, Yosi Keller and Sharon Duvdevani Bar
IEEE International Conference on Image Processing (ICIP), Athens, ICIP-18 (2018)
[PDF] [POSTER]
- On Detection of Faint Edges in Noisy Images
Nati Ofir, Meirav Galun, Sharon Alpert, Achi Brandt, Boaz Nadler and Ronen Basri
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), January 2019
[PDF] [CODE-Matlab Lines] [CODE-Matlab Curves]
- Multi-scale Processing of Noisy Images using Edge Preservation Losses
Nati Ofir and Yosi Keller
IEEE International Conference on Pattern Recognition (ICPR), Milan, ICPR-20 (2020)
[PDF] [CODE-Python Demo]
- Classic versus Deep Learning Approaches to Address Computer Vision Challenges: a Study of Faint Edge Detection and Multispectral Image Registration
Nati Ofir and Jean-Christophe Nebel
Kingston University London, 2021
[PDF] [THESIS]
- Automatic Defect Segmentation by Unsupervised Anomaly Learning
Nati Ofir, Ran Yacobi, Omer Granoviter, Boris Levant and Ore Shtalrid
IEEE International Conference on Image Processing (ICIP), Bordeaux, ICIP-22 (2022)
[PDF] [POSTER]
- Multispectral Image Fusion Based on Super Pixel Segmentation
Nati Ofir and Jean-Christophe Nebel
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, ICASSP-23 (2023)
[PDF] [POSTER] [CODE-Matlab]
- Defect Detection Approaches Based on Simulated Reference Image
Nati Ofir, Yotam Ben Shoshan, Ran Badanes and Boris Sherman
Israel Machine Vision Conference (IMVC), Tel-Aviv, IMVC-24 (2024)
[PDF] [IMVC 2024]
Teaching
- Information Theory (TA), Weizmann Institute, Spring 2013
- Introduction to Image Processing, The College for Academic Studies, Summer 2013
- Introduction to Computer Vision (TA), Weizmann Institute, Fall 2015
Tweets by NatiOfir