Computer vision for fruit harvesting robots - state of the art and challenges ahead. - Keren Kapach; Ehud Barnea; Rotem Mairon; Yael Edan; Ohad Ben-Shahar (Int. J. Comput. Vis. Robotics, 2012)

Depth Based Object Detection from Partial Pose Estimation of Symmetric Objects. - Ehud Barnea; Ohad Ben-Shahar (ECCV (5), 2014)

On the Utility of Context (or the Lack Thereof) for Object Detection. - Ehud Barnea; Ohad Ben-Shahar (CoRR, 2017)

Contextual Object Detection with a Few Relevant Neighbors. - Ehud Barnea; Ohad Ben-Shahar (ACCV (2), 2018)

Curve Reconstruction via the Global Statistics of Natural Curves. - Ehud Barnea; Ohad Ben-Shahar (CVPR, 2018)

Exploring the Bounds of the Utility of Context for Object Detection. - Ehud Barnea; Ohad Ben-Shahar (CVPR, 2019)

Controlled Lighting and Illumination-Independent Target Detection for Real-Time Cost-Efficient Applications. The Case Study of Sweet Pepper Robotic Harvesting. - Boaz Arad; Polina Kurtser; Ehud Barnea; Ben Harel; Yael Edan; Ohad Ben-Shahar (Sensors, 2019)