Sean Campbell

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 18

Top Topics

Dependent Variables

Mahalanobis Metric

Metric Learning

Top Venues

Publications

Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Joseph Walsh, Daniel Riordan
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning. CoRR (2022)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing. SAI (1) (2021)
Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Joseph Walsh, Daniel Riordan
Representation Learning for Fine-Grained Change Detection. Sensors 21 (13) (2021)
Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath
Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. ICASSP (2021)
Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Path Planning Techniques for Mobile Robots A Review. ICMRE (2020)
Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. CoRR (2020)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh
Understanding and Exploiting Dependent Variables with Deep Metric Learning. IntelliSys (1) (2020)
Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Where am I? Localization techniques for Mobile Robots A Review. ICMRE (2020)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh
Understanding and Exploiting Dependent Variables with Deep Metric Learning. CoRR (2020)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Deep Learning vs. Traditional Computer Vision. CVC (1) (2019)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh
Adaptive Multimodal Localisation Techniques for Mobile Robots in Unstructured Environments : A Review. WF-IoT (2019)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Deep Learning vs. Traditional Computer Vision. CoRR (2019)
Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Pat Doody, Joseph Walsh
Improving Industrial Computing Capacity with Fog Computing and Smart Systems. CoDIT (2019)
Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody
Farming on the edge: Architectural Goals. Agro-Geoinformatics (2019)
Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh
Point Cloud Annotation Methods for 3D Deep Learning. ICST (2019)
Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh
Convolutional Neural Networks for 3D Vision System Data : A review. ICST (2018)
Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Daniel Riordan, Joseph Walsh, Aidan Murphy, Conor Ryan
Computer Vision for 3D Perception - A Review. IntelliSys (2) (2018)
Sean Campbell, Trushali Doshi, John J. Soraghan, Lykourgos Petropoulakis, Gaetano Di Caterina, Derek Grose, Kenneth MacKenzie
3-dimensional throat region segmentation from MRI data based on fourier interpolation and 3-dimensional level set methods. EMBC (2015)