Philip Sellars

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Image Classification

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Geosci. Remote. Sens.

Publications

Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. 122 (2022)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification. CoRR (2021)
Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification. UNSURE/GRAIL@MICCAI (2020)
Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. CoRR (2020)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58 (6) (2020)
Marianne de Vriendt, Philip Sellars, Angelica I. Avilés-Rivero
The GraphNet Zoo: A Plug-and-Play Framework for Deep Semi-Supervised Classification. CoRR (2020)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Two Cycle Learning: Clustering Based Regularisation for Deep Semi-Supervised Classification. CoRR (2020)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. CoRR (2019)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. MICCAI (6) (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS (2019)