A discriminative approach for appearance based loop closing. - Thomas A. Ciarfuglia; Gabriele Costante; Paolo Valigi; Elisa Ricci 001 (IROS, 2012)

A transfer learning approach for multi-cue semantic place recognition. - Gabriele Costante; Thomas A. Ciarfuglia; Paolo Valigi; Elisa Ricci 001 (IROS, 2013)

Evaluation of non-geometric methods for visual odometry. - Thomas A. Ciarfuglia; Gabriele Costante; Paolo Valigi; Elisa Ricci 001 (Robotics Auton. Syst., 2014)

Transferring knowledge across robots: A risk sensitive approach. - Gabriele Costante; Thomas A. Ciarfuglia; Paolo Valigi; Elisa Ricci 001 (Robotics Auton. Syst., 2015)

Fast robust monocular depth estimation for Obstacle Detection with fully convolutional networks. - Michele Mancini; Gabriele Costante; Paolo Valigi; Thomas A. Ciarfuglia (IROS, 2016)

SmartSEAL: A ROS based home automation framework for heterogeneous devices interconnection in smart buildings. - Enrico Bellocchio; Gabriele Costante; Silvia Cascianelli; Paolo Valigi; Thomas A. Ciarfuglia (ISC2, 2016)

A robust semi-semantic approach for visual localization in urban environment. - Silvia Cascianelli; Gabriele Costante; Enrico Bellocchio; Paolo Valigi; Mario Luca Fravolini; Thomas A. Ciarfuglia (ISC2, 2016)

Modelling and simulation of a quadrotor in V-tail configuration. - Enrico Bellocchio; Thomas A. Ciarfuglia; Francesco Crocetti; Antonio Ficola; Paolo Valigi (Int. J. Model. Identif. Control., 2016)

Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation. - Gabriele Costante; Michele Mancini; Paolo Valigi; Thomas A. Ciarfuglia (IEEE Robotics Autom. Lett., 2016)

J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation. - Michele Mancini; Gabriele Costante; Paolo Valigi; Thomas A. Ciarfuglia (CoRR, 2017)

Toward Domain Independence for Learning-Based Monocular Depth Estimation. - Michele Mancini; Gabriele Costante; Paolo Valigi; Thomas A. Ciarfuglia; Jeffrey A. Delmerico; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2017)

Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features. - Silvia Cascianelli; Gabriele Costante; Enrico Bellocchio; Paolo Valigi; Mario Luca Fravolini; Thomas A. Ciarfuglia (Robotics Auton. Syst., 2017)

Visual Localization in the Presence of Appearance Changes Using the Partial Order Kernel. - Maryam Abdollahyan; Silvia Cascianelli; Enrico Bellocchio; Gabriele Costante; Thomas A. Ciarfuglia; Francesco Bianconi; Fabrizio Smeraldi; Mario Luca Fravolini (EUSIPCO, 2018)

Towards Monocular Digital Elevation Model (DEM) Estimation by Convolutional Neural Networks - Application on Synthetic Aperture Radar Images. - Gabriele Costante; Thomas A. Ciarfuglia; Filippo Biondi (CoRR, 2018)

Full-GRU Natural Language Video Description for Service Robotics Applications. - Silvia Cascianelli; Gabriele Costante; Thomas A. Ciarfuglia; Paolo Valigi; Mario Luca Fravolini (IEEE Robotics Autom. Lett., 2018)

LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation. - Gabriele Costante; Thomas A. Ciarfuglia (IEEE Robotics Autom. Lett., 2018)

J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation. - Michele Mancini; Gabriele Costante; Paolo Valigi; Thomas A. Ciarfuglia (IEEE Robotics Autom. Lett., 2018)

Weakly Supervised Fruit Counting for Yield Estimation Using Spatial Consistency. - Enrico Bellocchio; Thomas A. Ciarfuglia; Gabriele Costante; Paolo Valigi (IEEE Robotics Autom. Lett., 2019)

The Role of the Input in Natural Language Video Description. - Silvia Cascianelli; Gabriele Costante; Alessandro Devo; Thomas A. Ciarfuglia; Paolo Valigi; Mario Luca Fravolini (IEEE Trans. Multim., 2020)

Pseudo-label Generation for Agricultural Robotics Applications. - Thomas A. Ciarfuglia; Ionut Marian Motoi; Leonardo Saraceni; Daniele Nardi (CVPR Workshops, 2022)

Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data. - Thomas A. Ciarfuglia; Ionut Marian Motoi; Leonardo Saraceni; Mulham Fawakherji; Alberto Sanfeliu; Daniele Nardi (Comput. Electron. Agric., 2023)

Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery. - Leonardo Saraceni; Ionut Marian Motoi; Daniele Nardi; Thomas A. Ciarfuglia (CASE, 2024)

AgriSORT: A Simple Online Real-time Tracking-by-Detection framework for robotics in precision agriculture. - Leonardo Saraceni; Ionut Marian Motoi; Daniele Nardi; Thomas A. Ciarfuglia (ICRA, 2024)

Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery. - Ionut Marian Motoi; Leonardo Saraceni; Daniele Nardi; Thomas A. Ciarfuglia (IGARSS, 2024)

Human-Robot Harvesting Plan Negotiation: Perception, Grape Mapping and Shared Planning. - Marc Dalmasso; Francisco García-Ruíz; Thomas A. Ciarfuglia; Leonardo Saraceni; Ionut Marian Motoi; Emilio Gil; Alberto Sanfeliu (ROBOT, 2024)

Synthetic Data Generation for Anomaly Detection on Table Grapes. - Ionut Marian Motoi; Valerio Belli; Alberto Carpineto; Daniele Nardi; Thomas A. Ciarfuglia (CoRR, 2024)

Can Robots "Taste" Grapes? Estimating SSC with Simple RGB Sensors. - Thomas A. Ciarfuglia; Ionut Marian Motoi; Leonardo Saraceni; Daniele Nardi (CoRR, 2024)

MAD-BA: 3D LiDAR Bundle Adjustment - From Uncertainty Modelling to Structure Optimization. - Krzysztof Cwian; Luca Di Giammarino; Simone Ferrari; Thomas A. Ciarfuglia; Giorgio Grisetti; Piotr Skrzypczynski (IEEE Robotics Autom. Lett., 2025)