MATH+ML+X Lab Aviles-Rivero Lab

Preprint

Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
CW Cheng, J Huang, Y Zhang, G Yang, CB Schönlieb and AI Aviles-Rivero
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps
Contrastive Learning with Dynamic Localized Repulsion for Brain Age Prediction on 3D Stiffness Maps
J Trauble, L Hiscox, C Johnson, CB Schönlieb, GK Schierle and AI Aviles-Rivero
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
L Yang, J Huang, Y Fang, AI Aviles-Rivero, C-B Schonlieb, D Zhang and G Yang
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
C Huang, Z Wu, Y Cheng, T Zheng, C-B Schönlieb and AI Aviles-Rivero
Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosis
Bilevel Hypergraph Networks for Multi-Modal Alzheimer’s Diagnosis
AI Aviles-Rivero, CW Cheng, Z Deng, Z Kourtzi and C-B Schönlieb
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
J Huang, L Yang, F Wang, Y Wu, Y Nan, AI Aviles-Rivero, C-B Schönlieb, D Zhang, G Yang
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Z Shen*, Y Cheng*, RH Chan, P Lio, C-B Schönlieb, AI Aviles-Rivero
Traffic Video Object Detection using Motion Prior
Traffic Video Object Detection using Motion Prior
L Liu, Y Cheng, D Chen, J He, P Lio, C-B Schönlieb, AI Aviles-Rivero
Homeomorphic Image Registration
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation
J Zou, N Debroux, L Liu, J Qin, C-B Schönlieb, AI Aviles-Rivero
TrafficCAM
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Z Deng, Y Cheng, L Liu, S Wang, R Ke, C-B Schönlieb, AI Aviles-Rivero
1graphd
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, R. T Tan, C-B Schönlieb
deepRprior
Deep Reflection Prior
Y Yin, Q Fan, D Chen, Y Wang, AI Aviles-Rivero, R Li, C-B Schönlieb, D Lischinsky, B Chen

2024

Single-Shot Plug-and-Play Methods for Inverse Problems.
Single-Shot Plug-and-Play Methods for Inverse Problems
Y Cheng, L Zhang, Z Shen, S Wang, L Yu, RH Chan, C-B Schönlieb, AI Aviles-Rivero
TMLR
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
L Liu, Y Cheng, Z Deng, S Wang, D Chen, X Hu, P Lio, C-B Schönlieb, AI Aviles-Rivero
ACM Multimedia 2024
Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models.
Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models
Y Zhang, K Yu, AI Aviles-Rivero, J Jia, Y Tang, Z He
ACM Multimedia 2024
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation.
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
L Zhang, Y Cheng, L Liu, C-B Schönlieb, AI Aviles-Rivero
MICCAI 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations.
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
A Bryutkin*, J Huang*, Z Deng, G Yang, C Schönlieb, AI Aviles-Rivero
ICML 2024
Optimised Propainter for Video Diminished Reality Inpainting.
Optimised Propainter for Video Diminished Reality Inpainting
P Li*, L Liu*, C Schönlieb, AI Aviles-Rivero
Grand Challenge Dreaming ISBI 2024. Best Paper Award.
The Missing U for Efficient Diffusion Models.
The Missing U for Efficient Diffusion Models
S Calvo-Ordonez, C-W Cheng, J Huang, L Zhang, G Yang, C Schönlieb, AI Aviles-Rivero
TMLR
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution.
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution
J Lyu, S Wang, Y Tian, J Zou, S Dong, C Wang, AI Aviles-Rivero, J Qin
Medical Image Analysis
Continuous U-Net: Faster, Greater and Noiseless
Continuous U-Net: Faster, Greater and Noiseless
CW Cheng, C Runkel*, L Liu*, RH Chan, C-B Schönlieb, AI Aviles-Rivero
TMLR
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
J Huang, PF Ferreira, L Wang, Y Wu, AI Aviles-Rivero, C-B Schönlieb, ..., G Yang
Scientific Reports-Nature
CoNIC Challenge
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting
S Graham, ..., L Liu, AI Aviles-Rivero, ..., C-B Schönlieb, ..., NM Rajpoot
Medical Image Analysis

2023

Contrastive Registration for Unsupervised Medical Image Segmentation
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, and C-B Schönlieb
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Beyond U: Making Diffusion Models Faster & Lighter
Beyond U: Making Diffusion Models Faster & Lighter
S Calvo-Ordonez, J Huang, L Zhang, G Yang, C-B Schonlieb, AI Aviles-Rivero
NeurIPS 2023 W/ on Diffusion Models
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
L Liu, J Prost, L Zhu, N Papadakis, P Lio, C-B Schönlieb, AI Aviles-Rivero
CVPR 2023
ViGU: Vision GNN U-Net for Fast MRI
ViGU: Vision GNN U-Net for Fast MRI
J Huang, AI Aviles-Rivero, CB Schonlieb, G Yang
ISBI 2023
Gray Whale Detection in Satellite Imagery using Deep Learning
Gray Whale Detection in Satellite Imagery using Deep Learning
KM Green, ..., AI Aviles-Rivero, ..., CB Schonlieb, ... and JA Jackson
Remote Sensing in Ecology and Conservation