Dr Angelica Aviles Rivero

My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems. My central research is to develop new data-driven algorithmic techniques that allow computers to gain high-level understanding from vast amounts of data, this, with the aim of aiding the decisions of users. These methods are based on mathematical modelling and machine learning methods.

Keywords: $\bigstar$ Applied Mathematics $\bigstar$ Computational Mathematics $\bigstar$ Inverse problems $\bigstar$ Image Analysis $\bigstar$ Graph Learning $\bigstar$ Machine Learning.

Publications

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification

P Sellars, AI Aviles-Rivero, CB Schonlieb

– IEEE Transactions on Geoscience and Remote Sensing

(2020)

58,

4180

(doi: 10.1109/TGRS.2019.2961599)

Tuning-free plug-and-play proximal algorithm for inverse imaging problems

K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang

– 37th International Conference on Machine Learning Icml 2020

(2020)

PartF168147-14,

10089

(link to publication)

Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery

SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn

(2019)

(link to publication)

GraphX$^\mathbf{\small NET } -$ Chest X-Ray Classification Under Extreme Minimal Supervision

AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, CB Schönlieb

– Lecture Notes in Computer Science

(2019)

11769,

504

(doi: 10.1007/978-3-030-32226-7_56)

RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect

R Li, R Tan, LF Cheong, A Aviles-Rivero, Q Fan, C Schoenlieb

– 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)

(2019)

00,

7303

(doi: 10.1109/ICCV.2019.00740)

Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution

V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb

(2019)

(link to publication)

Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification

P Sellars, AI Aviles-Rivero, N Papadakis, D Coomes, A Faul, CB Schonlieb

– 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)

(2019)

00,

592

(doi: 10.1109/IGARSS.2019.8898189)

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?-A Tailored Approach to Single Image Reflection Removal

D Heydecker, G Maierhofer, AI Aviles-Rivero, Q Fan, D Chen, C-B Schonlieb, S Susstrunk

– IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

(2019)

28,

6185

(doi: 10.1109/tip.2019.2923559)

Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy

AI Aviles-Rivero, N Papadakis, R Li, P Sellars, SM Alsaleh, RT Tan, C-B Schönlieb

(2019)

(link to publication)

ReTouchImg: Fusioning from-local-to-global context detection and graph data structures for fully-automatic specular reflection removal for endoscopic images.

SM Alsaleh, AI Aviles-Rivero, JK Hahn

– Comput Med Imaging Graph

(2019)

73,

(doi: 10.1016/j.compmedimag.2019.02.002)

Department of Applied Mathematics and Theoretical Physics

Publications

Research Group

Email

Room

Telephone

Personal homepage

Study at Cambridge

About the University

Research at Cambridge