Vitor Guizilini
Vitor Guizilini
Senior 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
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
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
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
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
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
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
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
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
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
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
Large-scale 3d scene reconstruction with hilbert maps
V Guizilini, F Ramos
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Semi-parametric models for visual odometry
V Guizilini, F Ramos
2012 IEEE International Conference on Robotics and Automation, 3482-3489, 2012
Semi-parametric learning for visual odometry
V Guizilini, F Ramos
The International Journal of robotics research 32 (5), 526-546, 2013
UAV route planning for active disease classification
KCT Vivaldini, TH Martinelli, VC Guizilini, JR Souza, MD Oliveira, ...
Autonomous robots 43 (5), 1137-1153, 2019
A nonparametric online model for air quality prediction
VC Guizilini, FT Ramos
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Automatic detection of ceratocystis wilt in eucalyptus crops from aerial images
JR Souza, CCT Mendes, V Guizilini, KCT Vivaldini, A Colturato, F Ramos, ...
2015 IEEE international conference on robotics and automation (ICRA), 3443-3448, 2015
Self-supervised 3d keypoint learning for ego-motion estimation
J Tang, R Ambrus, V Guizilini, S Pillai, H Kim, P Jensfelt, A Gaidon
arXiv preprint arXiv:1912.03426, 2019
Sparse-to-continuous: Enhancing monocular depth estimation using occupancy maps
N dos Santos Rosa, V Guizilini, V Grassi
2019 19th International Conference on Advanced Robotics (ICAR), 793-800, 2019
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