CS PhD students Alex Wong and Fei Xiaohan under the supervision of Professor Stefano Soatto have won the Best Paper Award in Robot Vision at the  International Conference on Robotics and Automation (ICRA) for their paper, “Geo-Supervised Visual Depth Prediction.” They were presented with the award, which was established in 2000, on May 22. 

This award recognizes the best paper on Multi-Robot Systems presented at the IEEE International Conference on Robotics and Automation (ICRA). The winning paper was chosen based on technical merit, originality, relevance and potential impact on the human-robot interaction field, clarity of the written paper, and quality of the conference presentation.

Wong and Xiaohan’s paper proposes using global orientation from inertial measurements, and the bias it induces on the shape of objects populating a scene, to inform visual 3D reconstruction.

More details about the award can be found here.

 UCLA Samueli Materials Science and Engineering