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Noa Garnett
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2020 – today
- 2022
- [c8]Ron M. Hecht, Ke Liu, Noa Garnett, Ariel Telpaz, Omer Tsimhoni
:
From Bottom-Up To Top-Down: Characterization Of Training Process In Gaze Modeling. ICASSP 2022: 4843-4847 - 2021
- [c7]Oded Bialer, Noa Garnett:
Optimization Of Antenna Array Configuration With A Neural Network. EUSIPCO 2021: 1566-1570 - 2020
- [c6]Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi:
Synthetic-to-Real Domain Adaptation for Lane Detection. ACCV (6) 2020: 52-67 - [i5]Netalee Efrat, Max Bluvstein, Noa Garnett, Dan Levi, Shaul Oron, Bat El Shlomo:
Semi-Local 3D Lane Detection and Uncertainty Estimation. CoRR abs/2003.05257 (2020) - [i4]Noa Garnett, Roy Uziel, Netalee Efrat, Dan Levi:
Synthetic-to-Real Domain Adaptation for Lane Detection. CoRR abs/2007.04023 (2020) - [i3]Netalee Efrat, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo:
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation. CoRR abs/2011.01535 (2020)
2010 – 2019
- 2019
- [c5]Oded Bialer, Noa Garnett, Tom Tirer:
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation. ICASSP 2019: 3907-3911 - [c4]Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi:
3D-LaneNet: End-to-End 3D Multiple Lane Detection. ICCV 2019: 2921-2930 - [i2]Oded Bialer, Noa Garnett, Tom Tirer:
Performance Advantages of Deep Neural Networks for Angle of Arrival Estimation. CoRR abs/1902.03569 (2019) - 2018
- [c3]Oded Bialer, Noa Garnett, Dan Levi:
A Deep Neural Network Approach for Time-Of- Arrival Estimation in Multipath Channels. ICASSP 2018: 2936-2940 - [i1]Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi:
3D-LaneNet: end-to-end 3D multiple lane detection. CoRR abs/1811.10203 (2018) - 2017
- [c2]Noa Garnett, Shai Silberstein, Shaul Oron, Ethan Fetaya, Uri Verner, Ariel Ayash, Vlad Goldner, Rafi Cohen, Kobi Horn, Dan Levi:
Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. ICCV Workshops 2017: 198-205 - 2015
- [c1]Dan Levi, Noa Garnett, Ethan Fetaya:
StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. BMVC 2015: 109.1-109.12
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