Carola-Bibiane Schönlieb

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 288

Top Venues

CoRR

SIAM J. Imaging Sci.

SSVM

J. Math. Imaging Vis.

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)
Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. CoRR (2024)
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent methodological advances in federated learning for healthcare. Patterns 5 (6) (2024)
Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR (2024)
Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb
A study on the adequacy of common IQA measures for medical images. CoRR (2024)
Lipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation. CoRR (2024)
Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li
Spatiotemporal Graph Neural Network Modelling Perfusion MRI. CoRR (2024)
Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Proximal Langevin Sampling with Inexact Proximal Mapping. SIAM J. Imaging Sci. 17 (3) (2024)
Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. Trans. Mach. Learn. Res. 2024 (2024)
Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. Comput. Methods Programs Biomed. 246 (2024)
Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Optimised ProPainter for Video Diminished Reality Inpainting. CoRR (2024)
Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb
A study of why we need to reassess full reference image quality assessment with medical images. CoRR (2024)
Antonin Chambolle, Claire Delplancke, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Junqi Tang
Stochastic Primal-Dual Hybrid Gradient Algorithm with Adaptive Step Sizes. J. Math. Imaging Vis. 66 (3) (2024)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. Trans. Mach. Learn. Res. 2024 (2024)
Yi Zhang, Chun-Wun Cheng, Ke Yu, Zhihai He, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning. CoRR (2024)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
The curious case of the test set AUROC. Nat. Mac. Intell. 6 (4) (2024)
Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Mike Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang
When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. CoRR (2024)
Angelica I. Avilés-Rivero, Chun-Wun Cheng, Zhongying Deng, Zoe Kourtzi, Carola-Bibiane Schönlieb
Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis. CoRR (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. CoRR (2024)
Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. AISTATS (2024)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. CoRR (2024)
Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb
Continuous Learned Primal Dual. CoRR (2024)
Andrey Bryutkin, Jiahao Huang, Zhongying Deng, Guang Yang, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. CoRR (2024)
James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. CoRR (2024)
Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
A linear transportation Lp distance for pattern recognition. Pattern Recognit. 147 (2024)
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. CoRR (2024)
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR (2024)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17 (2) (2024)
Krishna Sri Ipsit Mantri, Xinzhi Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function. CoRR (2024)
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Continuous U-Net: Faster, Greater and Noiseless. Trans. Mach. Learn. Res. 2024 (2024)
Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation. CoRR (2024)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. 116 (2024)
Juheon Lee, Xiaohao Cai, Carola-Bibiane Schönlieb, Simon Masnou
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds. CoRR (2024)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
Publisher Correction: The curious case of the test set AUROC. Nat. Mac. Intell. 6 (4) (2024)
Sergio Calvo-Ordoñez, Chun-Wun Cheng, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
The Missing U for Efficient Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
GRANOLA: Adaptive Normalization for Graph Neural Networks. CoRR (2024)
Fan Zhang, Carlos Esteve-Yagüe, Sören Dittmer, Carola-Bibiane Schönlieb, Michael Roberts
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. CoRR (2024)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. 17 (2) (2024)
Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Reinterpreting survival analysis in the universal approximator age. CoRR (2023)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
The curious case of the test set AUROC. CoRR (2023)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Provably Convergent Data-Driven Convex-Nonconvex Regularization. CoRR (2023)
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb
Variational Diffusion Auto-encoder: Deep Latent Variable Model with Unconditional Diffusion Prior. CoRR (2023)
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-e-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
B. A. Schreiber, J. Denholm, F. Jaeckle, M. J. Arends, Kim M. Branson, Carola-Bibiane Schönlieb, E. J. Soilleux
Bang and the Artefacts are Gone! Rapid Artefact Removal and Tissue Segmentation in Haematoxylin and Eosin Stained Biopsies. CoRR (2023)
Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for fast MRI. ISBI (2023)
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Dynamical Systems-Based Neural Networks. SIAM J. Sci. Comput. 45 (6) (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? MICCAI (10) (2023)
Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42 (2) (2023)
Sergio Calvo-Ordonez, Jiahao Huang, Lipei Zhang, Guang Yang, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Beyond U: Making Diffusion Models Faster & Lighter. CoRR (2023)
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40 (1) (2023)
Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann
Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM (2023)
Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Joint Reconstruction-Segmentation on Graphs. SIAM J. Imaging Sci. 16 (2) (2023)
Yanqi Cheng, Lipei Zhang, Zhenda Shen, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Single-Shot Plug-and-Play Methods for Inverse Problems. CoRR (2023)
Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Shujun Wang, Angelica I. Avilés-Rivero, Zoe Kourtzi, Carola-Bibiane Schönlieb
HGIB: Prognosis for Alzheimer's Disease via Hypergraph Information Bottleneck. CoRR (2023)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI (2023)
Tamara G. Grossmann, Carola-Bibiane Schönlieb, Orietta Da Rold
Hidden Knowledge: Mathematical Methods for the Extraction of the Fingerprint of Medieval Paper from Digital Images. CoRR (2023)
Jiahao Huang, Pedro F. Ferreira, Lichao Wang, Yinzhe Wu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Andrew D. Scott, Zohya Khalique, Maria Dwornik, Ramyah Rajakulasingam, Ranil De Silva, Dudley J. Pennell, Sonia Nielles-Vallespin, Guang Yang
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. CoRR (2023)
Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. CoRR (2023)
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging 42 (11) (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR (2023)
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI (2023)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40 (1) (2023)
Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks. CoRR (2023)
Elena Celledoni, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Dynamical Systems-Based Neural Networks. SIAM J. Sci. Comput. 45 (3) (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. MICCAI (6) (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? CoRR (2023)
Jing Zou, Noémie Debroux, Lihao Liu, Jing Qin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation. CoRR (2023)
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent Methodological Advances in Federated Learning for Healthcare. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
Robust Data-Driven Accelerated Mirror Descent. ICASSP (2023)
Ferdia Sherry, Elena Celledoni, Matthias J. Ehrhardt, Davide Murari, Brynjulf Owren, Carola-Bibiane Schönlieb
Designing Stable Neural Networks using Convex Analysis and ODEs. CoRR (2023)
Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI (2023)
Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts! Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR (2023)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5 (7) (2023)
Lei Zhu, Xiaoqiang Wang, Ping Li, Xin Yang, Qing Zhang, Weiming Wang, Carola-Bibiane Schönlieb, C. L. Philip Chen
S $^3$ Net: Self-Supervised Self-Ensembling Network for Semi-Supervised RGB-D Salient Object Detection. IEEE Trans. Multim. 25 (2023)
Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. CoRR (2023)
Michael Yeung, Leonardo Rundo, Yang Nan, Evis Sala, Carola-Bibiane Schönlieb, Guang Yang
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. J. Digit. Imaging 36 (2) (2023)
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR (2023)
Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Proximal Langevin Sampling With Inexact Proximal Mapping. CoRR (2023)
Jan Oscar Cross-Zamirski, Praveen Anand, Guy B. Williams, Elizabeth Mouchet, Yinhai Wang, Carola-Bibiane Schönlieb
Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels. ICCV (Workshops) (2023)
Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. SIAM J. Imaging Sci. 16 (3) (2023)
Teo Deveney, Jan Stanczuk, Lisa Maria Kreusser, Chris Budd, Carola-Bibiane Schönlieb
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. CoRR (2023)
Jiahao Huang, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Guang Yang
ViGU: Vision GNN U-Net for Fast MRI. CoRR (2023)
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz, Carola-Bibiane Schönlieb
Can Physics-Informed Neural Networks beat the Finite Element Method? CoRR (2023)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR (2023)
Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Traffic Video Object Detection using Motion Prior. CoRR (2023)
Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. TML4H (2023)
Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schönlieb
Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. CoRR (2023)
Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
Riemannian geometry for efficient analysis of protein dynamics data. CoRR (2023)
Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Continuous U-Net: Faster, Greater and Noiseless. CoRR (2023)
Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. CoRR (2023)
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. CoRR (2022)
Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. J. Mach. Learn. Res. 23 (2022)
Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb, Christian Etmann
Non-Uniform Diffusion Models. CoRR (2022)
Irene Fonseca, Lisa Maria Kreusser, Carola-Bibiane Schönlieb, Matthew Thorpe
Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation. CoRR (2022)
Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31 (2022)
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) (2022)

Carola-Bibiane Schönlieb.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Carola-Bibiane Schönlieb