Vitor Guizilini
Vitor Guizilini
Staff Research Scientist at the Toyota Research Institute (TRI)
Verified email at
Cited by
Cited by
3d packing for self-supervised monocular depth estimation
V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Detr3d: 3d object detection from multi-view images via 3d-to-2d queries
Y Wang, VC Guizilini, T Zhang, Y Wang, H Zhao, J Solomon
Conference on Robot Learning, 180-191, 2022
Is pseudo-lidar needed for monocular 3d object detection?
D Park, R Ambrus, V Guizilini, J Li, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Semantically-guided representation learning for self-supervised monocular depth
V Guizilini, R Hou, J Li, R Ambrus, A Gaidon
arXiv preprint arXiv:2002.12319, 2020
MEMS-based IMU drift minimization: Sage Husa adaptive robust Kalman filtering
M Narasimhappa, AD Mahindrakar, VC Guizilini, MH Terra, SL Sabat
IEEE Sensors Journal 20 (1), 250-260, 2019
Real-time panoptic segmentation from dense detections
R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
The impact of DoS attacks on the AR. Drone 2.0
G Vasconcelos, G Carrijo, R Miani, J Souza, V Guizilini
2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics …, 2016
Failure detection in row crops from UAV images using morphological operators
HC Oliveira, VC Guizilini, IP Nunes, JR Souza
IEEE Geoscience and Remote Sensing Letters 15 (7), 991-995, 2018
Multi-frame self-supervised depth with transformers
V Guizilini, R Ambruș, D Chen, S Zakharov, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Sparse auxiliary networks for unified monocular depth prediction and completion
V Guizilini, R Ambrus, W Burgard, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Robust semi-supervised monocular depth estimation with reprojected distances
V Guizilini, J Li, R Ambrus, S Pillai, A Gaidon
Conference on robot learning, 503-512, 2020
Online self-supervised multi-instance segmentation of dynamic objects
A Bewley, V Guizilini, F Ramos, B Upcroft
2014 IEEE International Conference on Robotics and Automation (ICRA), 1296-1303, 2014
Visual odometry learning for unmanned aerial vehicles
V Guizilini, F Ramos
2011 IEEE International Conference on Robotics and Automation, 6213-6220, 2011
Full surround monodepth from multiple cameras
V Guizilini, I Vasiljevic, R Ambrus, G Shakhnarovich, A Gaidon
IEEE Robotics and Automation Letters 7 (2), 5397-5404, 2022
Marionette: Self-supervised sprite learning
D Smirnov, M Gharbi, M Fisher, V Guizilini, A Efros, JM Solomon
Advances in Neural Information Processing Systems 34, 5494-5505, 2021
Learning to reconstruct 3D structures for occupancy mapping from depth and color information
V Guizilini, F Ramos
The International Journal of Robotics Research 37 (13-14), 1595-1609, 2018
Geometric unsupervised domain adaptation for semantic segmentation
V Guizilini, J Li, R Ambruș, A Gaidon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Self-supervised 3d keypoint learning for ego-motion estimation
J Tang, R Ambrus, V Guizilini, S Pillai, H Kim, P Jensfelt, A Gaidon
Conference on Robot Learning, 2085-2103, 2021
Neural outlier rejection for self-supervised keypoint learning
J Tang, H Kim, V Guizilini, S Pillai, R Ambrus
arXiv preprint arXiv:1912.10615, 2019
Large-scale 3d scene reconstruction with hilbert maps
V Guizilini, F Ramos
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
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