Pedro P. B. de Gusmao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 21

Top Topics

Probabilistic Neural Networks

Object Classification

Egomotion Estimation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR (2024)
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR (2023)
Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24 (2023)
Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP (2022)
Yan Gaol, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
Protea: client profiling within federated systems using flower. FedEdge@MobiCom (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR (2022)
Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks. CoRR (2021)
Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. CoRR (2021)
Wei Wang, Pedro P. B. de Gusmao, Bo Yang, Andrew Markham, Niki Trigoni
RadarLoc: Learning to Relocalize in FMCW Radar. CoRR (2021)
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham
milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. CoRR (2020)
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham
milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion. SenSys (2020)
Muhamad Risqi U. Saputra, Niki Trigoni, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham
DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. IEEE Robotics Autom. Lett. 5 (2) (2020)
Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. IROS (2019)
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Yasin Almalioglu, Andrew Markham, Niki Trigoni
Distilling Knowledge From a Deep Pose Regressor Network. CoRR (2019)
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. CoRR (2019)
Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. CoRR (2019)
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Chris Xiaoxuan Lu, Yasin Almalioglu, Stefano Rosa, Changhao Chen, Johan Wahlström, Wei Wang, Andrew Markham, Niki Trigoni
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination. CoRR (2019)
Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Sen Wang, Andrew Markham, Niki Trigoni
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning. ICRA (2019)
Yasin Almalioglu, Muhamad Risqi U. Saputra, Pedro P. B. de Gusmao, Andrew Markham, Niki Trigoni
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. CoRR (2018)
Syed Tahir Hussain Rizvi, Gianpiero Cabodi, Pedro P. B. de Gusmao, Gianluca Francini
Gabor filter based image representation for object classification. CoDIT (2016)
Pedro P. B. de Gusmao, Stefano Rosa, Enrico Magli, Skjalg Lepsøy, Gianluca Francini
Loop detection in robotic navigation using MPEG CDVS. MMSP (2015)
Skjalg Lepsøy, Gianluca Francini, Giovanni Cordara, Pedro P. B. de Gusmao
Statistical modelling of outliers for fast visual search. ICME (2011)