Gabriele Costante
Gabriele Costante
Assistant Professor at the Department of Engineering, University of Perugia
Verified email at unipg.it - Homepage
Title
Cited by
Cited by
Year
Exploring representation learning with cnns for frame-to-frame ego-motion estimation
G Costante, M Mancini, P Valigi, TA Ciarfuglia
IEEE robotics and automation letters 1 (1), 18-25, 2015
1772015
Fast robust monocular depth estimation for obstacle detection with fully convolutional networks
M Mancini, G Costante, P Valigi, TA Ciarfuglia
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
792016
Perception-aware path planning
G Costante, C Forster, J Delmerico, P Valigi, D Scaramuzza
arXiv preprint arXiv:1605.04151, 2016
652016
Toward domain independence for learning-based monocular depth estimation
M Mancini, G Costante, P Valigi, TA Ciarfuglia, J Delmerico, ...
IEEE Robotics and Automation Letters 2 (3), 1778-1785, 2017
512017
LS-VO: Learning dense optical subspace for robust visual odometry estimation
G Costante, TA Ciarfuglia
IEEE Robotics and Automation Letters 3 (3), 1735-1742, 2018
492018
Evaluation of non-geometric methods for visual odometry
TA Ciarfuglia, G Costante, P Valigi, E Ricci
Robotics and Autonomous Systems 62 (12), 1717-1730, 2014
412014
Exploiting photometric information for planning under uncertainty
G Costante, J Delmerico, M Werlberger, P Valigi, D Scaramuzza
Robotics research, 107-124, 2018
352018
Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features
S Cascianelli, G Costante, E Bellocchio, P Valigi, ML Fravolini, ...
Robotics and Autonomous Systems 92, 53-65, 2017
312017
Personalizing a smartwatch-based gesture interface with transfer learning
G Costante, L Porzi, O Lanz, P Valigi, E Ricci
2014 22nd European Signal Processing Conference (EUSIPCO), 2530-2534, 2014
292014
A transfer learning approach for multi-cue semantic place recognition
G Costante, TA Ciarfuglia, P Valigi, E Ricci
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
262013
J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation
M Mancini, G Costante, P Valigi, TA Ciarfuglia
IEEE Robotics and Automation Letters 3 (3), 1490-1497, 2018
252018
Full-GRU natural language video description for service robotics applications
S Cascianelli, G Costante, TA Ciarfuglia, P Valigi, ML Fravolini
IEEE Robotics and Automation Letters 3 (2), 841-848, 2018
212018
Personalizing vision-based gestural interfaces for HRI with UAVs: a transfer learning approach
G Costante, E Bellocchio, P Valigi, E Ricci
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
182014
Weakly supervised fruit counting for yield estimation using spatial consistency
E Bellocchio, TA Ciarfuglia, G Costante, P Valigi
IEEE Robotics and Automation Letters 4 (3), 2348-2355, 2019
162019
A discriminative approach for appearance based loop closing
TA Ciarfuglia, G Costante, P Valigi, E Ricci
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
152012
Towards generalization in target-driven visual navigation by using deep reinforcement learning
A Devo, G Mezzetti, G Costante, ML Fravolini, P Valigi
IEEE Transactions on Robotics 36 (5), 1546-1561, 2020
132020
Uncertainty estimation for data-driven visual odometry
G Costante, M Mancini
IEEE Transactions on Robotics 36 (6), 1738-1757, 2020
122020
Combining domain adaptation and spatial consistency for unseen fruits counting: a quasi-unsupervised approach
E Bellocchio, G Costante, S Cascianelli, ML Fravolini, P Valigi
IEEE Robotics and Automation Letters 5 (2), 1079-1086, 2020
92020
Towards monocular digital elevation model (DEM) estimation by convolutional neural networks-application on synthetic aperture radar images
G Costante, TA Ciarfuglia, F Biondi
EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, 1-6, 2018
92018
Deep reinforcement learning for instruction following visual navigation in 3D maze-like environments
A Devo, G Costante, P Valigi
IEEE Robotics and Automation Letters 5 (2), 1175-1182, 2020
72020
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