30 citations · 72 across the 9 of their papers we have counts for
9 papers
Object-Centric Open-Vocabulary Image-Retrieval with Aggregated Features
Hila Levi, Guy Heller, Dan Levi +1
The task of open-vocabulary object-centric image retrieval involves the retrieval of images containing a specified object of interest, delineated by an open-set text query. As work…
Polarimetric Imaging for Perception
Michael Baltaxe, Tomer Pe'er, Dan Levi
Autonomous driving and advanced driver-assistance systems rely on a set of sensors and algorithms to perform the appropriate actions and provide alerts as a function of the driving…
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
Netalee Efrat, Max Bluvstein, Shaul Oron +3
3D-LaneNet+ is a camera-based DNN method for anchor free 3D lane detection which is able to detect 3d lanes of any arbitrary topology such as splits, merges, as well as short and p…
Synthetic-to-Real Domain Adaptation for Lane Detection
Noa Garnett, Roy Uziel, Netalee Efrat +1
Accurate lane detection, a crucial enabler for autonomous driving, currently relies on obtaining a large and diverse labeled training dataset. In this work, we explore learning fro…
Semi-Local 3D Lane Detection and Uncertainty Estimation
Netalee Efrat, Max Bluvstein, Noa Garnett +3
We propose a novel camera-based DNN method for 3D lane detection with uncertainty estimation. Our method is based on a semi-local, BEV, tile representation that breaks down lanes i…
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
Predicting not only the target but also an accurate measure of uncertainty is important for many machine learning applications and in particular safety-critical ones. In this work…