| Dropout sampling for robust object detection in open-set conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2018 | 62 | 2018 |
| Quadricslam: Dual quadrics from object detections as landmarks in object-oriented slam L Nicholson, M Milford, N Sünderhauf IEEE Robotics and Automation Letters 4 (1), 1-8, 2018 | 53 | 2018 |
| The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research J Leitner, AW Tow, N Sünderhauf, JE Dean, JW Durham, M Cooper, ... 2017 IEEE International Conference on Robotics and Automation (ICRA), 4705-4712, 2017 | 48 | 2017 |
| Quadricslam: Constrained dual quadrics from object detections as landmarks in semantic slam L Nicholson, M Milford, N Sünderhauf IEEE Robotics and Automation Letters (RA-L), 2018 | 13 | 2018 |
| QuadricSLAM: Dual quadrics as SLAM landmarks L Nicholson, M Milford, N Sunderhauf Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 3 | 2018 |
| QuadricSLAM: Dual Quadrics from Object Detections L Nicholson, M Milford, N Sünderhauf | | |
| Dropout Variational Inference Improves Object Detection in Open-Set Conditions D Miller, L Nicholson, F Dayoub, N Sünderhauf | | |
Niko Sünderhauf (Suenderhauf)Associate Professor at Queensland University of Technology, Australian Centre for Robotic VisionVerified email at qut.edu.au
