Corina Gurau
Corina Gurau
Wayve
Verified email at wayve.ai
Title
Cited by
Cited by
Year
Urban driving with conditional imitation learning
J Hawke, R Shen, C Gurau, S Sharma, D Reda, N Nikolov, P Mazur, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 251-257, 2020
292020
Multi-scale convolutional architecture for semantic segmentation
A Raj, D Maturana, S Scherer
Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015
29*2015
Scheduled perception for energy-efficient path following
P Ondrúška, C Gurău, L Marchegiani, CH Tong, I Posner
2015 IEEE International Conference on Robotics and Automation (ICRA), 4799-4806, 2015
292015
Herbdisc: Towards lifelong robotic object discovery
A Collet, B Xiong, C Gurau, M Hebert, SS Srinivasa
The International Journal of Robotics Research 34 (1), 3-25, 2015
252015
Know your limits: Embedding localiser performance models in teach and repeat maps
W Churchill, CH Tong, C Gurău, I Posner, P Newman
2015 IEEE International Conference on Robotics and Automation (ICRA), 4238-4244, 2015
222015
Learn from experience: Probabilistic prediction of perception performance to avoid failure
C Gurău, D Rao, CH Tong, I Posner
The International Journal of Robotics Research 37 (9), 981-995, 2018
202018
Exploiting domain knowledge for object discovery
A Collet, B Xiong, C Gurau, M Hebert, SS Srinivasa
2013 IEEE International Conference on Robotics and Automation, 2118-2125, 2013
192013
Wrong today, right tomorrow: Experience-based classification for robot perception
J Hawke, C Gurău, CH Tong, I Posner
Field and Service Robotics, 173-186, 2016
182016
Probabilistic future prediction for video scene understanding
A Hu, F Cotter, N Mohan, C Gurau, A Kendall
European Conference on Computer Vision, 767-785, 2020
172020
Dropout distillation for efficiently estimating model confidence
C Gurau, A Bewley, I Posner
arXiv preprint arXiv:1809.10562, 2018
122018
Fit for purpose? predicting perception performance based on past experience
C Gurău, CH Tong, I Posner
International Symposium on Experimental Robotics, 454-464, 2016
112016
Enabling intelligent energy management for robots using publicly available maps
O Bartlett, C Gurau, L Marchegiani, I Posner
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
82016
Challenges in Using Semantic Knowledge for 3D Object Classification.
C Gurau, A Nüchter
KIK@ KI, 29-35, 2013
82013
Learning on the job: Improving robot perception through experience
C Gurau, J Hawke, CH Tong, I Posner
Neural Information Processing Systems (NIPS) Workshop on “Autonomously …, 2014
42014
Towards Better Understanding of Disentangled Representations via Mutual Information
X Yang, W Bi, Y Sun, Y Cheng, J Yan
arXiv preprint arXiv:1911.10922, 2019
12019
Exploiting domain knowledge for object discovery
A Collet Romea, B Xiong, C Gurau, M Hebert, S Srinivasa
IEEE, 2013
12013
Predicting and improving perception performance for robotics applications
C Gurau
University of Oxford, 2018
2018
Mapping Planetary Caves with an Autonomous, Heterogeneous Robot Team
TSHR Handovers
Journal Article 26 (2), 863-872, 2013
2013
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