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

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 $^\mathbf{\small NET } -$ N E T - 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

– Proceedings of the IEEE International Conference on Computer Vision

(2019)

2019-October,

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

– International Geoscience and Remote Sensing Symposium (IGARSS)

(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 Trans Image Process

(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)

Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration

V Corona, AI Aviles-Rivero, N Debroux, M Graves, C Le Guyader, CB Schönlieb, G Williams

– SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, SSVM 2019

(2019)

11603,

263

(doi: 10.1007/978-3-030-22368-7_21)

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