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

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

– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT VI

(2019)

11769 LNCS,

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

(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

– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

(2019)

11603,

263

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

Sensory Substitution for Force Feedback Recovery

AI Aviles-Rivero, SM Alsaleh, J Philbeck, SP Raventos, N Younes, JK Hahn, A Casals

– ACM Transactions on Applied Perception

(2018)

15,

(doi: 10.1145/3176642)

Sliding to Predict: Vision-Based Beating Heart Motion Estimation by Modeling Temporal Interactions

AI Aviles-Rivero, SM Alsaleh, A Casals

– International journal of computer assisted radiology and surgery

(2018)

13,

353

(doi: 10.1007/s11548-018-1702-1)

Cambridge Image Analysis

Publications

Research Group

Email

Room

Telephone

Personal homepage

Study at Cambridge

About the University

Research at Cambridge