Matthew B. Blaschko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
65
Venues
20
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
65 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | A Framework for Real-Time Surgical Phase Recognition with Application to Robot-Assisted Partial Nephrectomy. | Marco Mezzina, Tom Vercauteren, Tinne Tuytelaars, Matthew B. Blaschko |
| 2026 | WACV | Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models. | Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas zkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay |
| 2025 | ECAI | CCMPlus: Leveraging Latent Causal Relationships Among Web Services for Traffic Prediction. | Chang Tian, Mingzhe Xing, Zenglin Shi, Matthew B. Blaschko, Yinliang Yue, Marie-Francine Moens |
| 2025 | ICLR | Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. | Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang |
| 2025 | ICML | A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators. | Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko |
| 2025 | WACV | AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution. | Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko |
| 2025 | UAI | Bayesian Optimization over Bounded Domains with the Beta Product Kernel. | Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin |
| 2024 | AISTATS | Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. | Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Bttner, Matthew B. Blaschko |
| 2024 | BMVC | Improving Multimodal Learning with Multi-Loss Gradient Modulation. | Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos |
| 2024 | EMNLP | FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models. | Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko |
| 2024 | EMNLP | A Generic Method for Fine-grained Category Discovery in Natural Language Texts. | Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens |
| 2024 | ICDAR | Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting. | Omar Hamed, Souhail Bakkali, Matthew B. Blaschko, Sien Moens, Jordy Van Landeghem |
| 2024 | ICDAR | DistilDoc: Knowledge Distillation for Visually-Rich Document Applications. | Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee, Matthew B. Blaschko, Marie-Francine Moens, Josep Llads, Sanket Biswas |
| 2024 | ICLR | Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. | Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko |
| 2024 | IGARSS | Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis. | Mingshi Li, Dusan Grujicic, Steven De Saeger, Stien Heremans, Ben Somers, Matthew B. Blaschko |
| 2024 | WACV | Beyond Document Page Classification: Design, Datasets, and Challenges. | Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko, Marie-Francine Moens |
| 2024 | WACV | Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection. | Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko |
| 2023 | ACML | A Corrected Expected Improvement Acquisition Function Under Noisy Observations. | Han Zhou, Xingchen Ma, Matthew B. Blaschko |
| 2023 | CVPR | Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. | Junyi Zhu, Xingchen Ma, Matthew B. Blaschko |
| 2023 | ICCV | Document Understanding Dataset and Evaluation (DUDE). | Jordy Van Landeghem, Rafal Powalski, Rubn Tito, Dawid Jurkiewicz, Matthew B. Blaschko, Lukasz Borchmann, Mickal Coustaty, Sien Moens, Michal Pietruszka, Bertrand Anckaert, Tomasz Stanislawek, Pawel Jziak, Ernest Valveny |
| 2023 | ICCV | Multimodal Distillation for Egocentric Action Recognition. | Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars |
| 2023 | ICML | Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. | Junyi Zhu, Ruicong Yao, Matthew B. Blaschko |
| 2023 | MICCAI | Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels. | Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko |
| 2023 | MICCAI | Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction. | Wangduo Xie, Matthew B. Blaschko |
| 2022 | AAAI | Predicting Physical World Destinations for Commands Given to Self-Driving Cars. | Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko |
| 2022 | ICPR | 2-D latent space models: Layer-wise perceptual training and spatial grounding. | Dusan Grujicic, Matthew B. Blaschko |
| 2022 | ICPR | Combinatorial optimization for low bit-width neural networks. | Han Zhou, Aida Ashrafi, Matthew B. Blaschko |
| 2021 | ICLR | R-GAP: Recursive Gradient Attack on Privacy. | Junyi Zhu, Matthew B. Blaschko |
| 2021 | ICML | Meta-Cal: Well-controlled Post-hoc Calibration by Ranking. | Xingchen Ma, Matthew B. Blaschko |
| 2021 | IGARSS | Remote Sensing and Deep Learning for Environmental Policy Support: From Theory to Practice. | Stien Heremans, Francis Turkelboom, Margot Verhulst, Matthew B. Blaschko, Ben Somers |
| 2021 | MICCAI | On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. | Teodora Popordanoska, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Matthew B. Blaschko |
| 2020 | AISTATS | Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization. | Xingchen Ma, Matthew B. Blaschko |
| 2020 | CoNLL | Learning to ground medical text in a 3D human atlas. | Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko |
| 2020 | CVPR | AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. | Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Grard G. Medioni |
| 2020 | ECCV | Commands 4 Autonomous Vehicles (C4AV) Workshop Summary. | Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Yu Liu, Luc Van Gool, Matthew B. Blaschko, Tinne Tuytelaars, Marie-Francine Moens |
| 2019 | BMVC | Adaptive Compression-based Lifelong Learning. | Shivangi Srivastava, Maxim Berman, Matthew B. Blaschko, Devis Tuia |
| 2019 | ICCV | A Bayesian Optimization Framework for Neural Network Compression. | Xingchen Ma, Amal Rannen Triki, Maxim Berman, Christos Sagonas, Jacques Cal, Matthew B. Blaschko |
| 2019 | MICCAI | Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice. | Jeroen Bertels, Tom Eelbode, Maxim Berman, Dirk Vandermeulen, Frederik Maes, Raf Bisschops, Matthew B. Blaschko |
| 2018 | CVPR | The Lovsz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks. | Maxim Berman, Amal Rannen Triki, Matthew B. Blaschko |
| 2018 | ESANN | Shallow and Deep Models for Domain Adaptation problems. | Siamak Mehrkanoon, Matthew B. Blaschko, Johan A. K. Suykens |
| 2018 | MICCAI | Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images. | Jos Ignacio Orlando, Joo Barbosa Breda, Karel van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant |
| 2017 | ICCV | Encoder Based Lifelong Learning. | Amal Rannen Triki, Rahaf Aljundi, Matthew B. Blaschko, Tinne Tuytelaars |
| 2017 | ICLR | Joint Embeddings of Scene Graphs and Images. | Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel |
| 2017 | ICLR | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2017 | ICML | Learning to Discover Sparse Graphical Models. | Eugene Belilovsky, Kyle Kastner, Gal Varoquaux, Matthew B. Blaschko |
| 2016 | AISTATS | A Convex Surrogate Operator for General Non-Modular Loss Functions. | Jiaqian Yu, Matthew B. Blaschko |
| 2016 | BMVC | Efficient Learning for Discriminative Segmentation with Supermodular Losses. | Jiaqian Yu, Matthew B. Blaschko |
| 2016 | ICRA | Efficient, dense, object-based segmentation from RGBD video. | Mahsa Ghafarianzadeh, Matthew B. Blaschko, Gabe Sibley |
| 2016 | WACV | Discriminative training of CRF models with probably submodular constraints. | Wojciech Zaremba, Matthew B. Blaschko |
| 2015 | ICML | A low variance consistent test of relative dependency. | Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew B. Blaschko |
| 2015 | ICML | Learning Submodular Losses with the Lovasz Hinge. | Jiaqian Yu, Matthew B. Blaschko |
| 2014 | BMVC | Unsupervised Spatio-Temporal Segmentation with Sparse Spectral-Clustering. | Mahsa Ghafarianzadeh, Matthew B. Blaschko, Gabe Sibley |
| 2014 | CVPR | Understanding Objects in Detail with Fine-Grained Attributes. | Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed |
| 2014 | MICCAI | Learning Fully-Connected CRFs for Blood Vessel Segmentation in Retinal Images. | Jos Ignacio Orlando, Matthew B. Blaschko |
| 2013 | MICCAI | Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. | Katerina Gkirtzou, Jean-Franois Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko |
| 2013 | MICCAI | fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. | Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko |
| 2012 | ECCV | Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. | Arpit Mittal, Matthew B. Blaschko, Andrew Zisserman, Philip H. S. Torr |
| 2011 | ICCV | Learning a category independent object detection cascade. | Esa Rahtu, Juho Kannala, Matthew B. Blaschko |
| 2011 | ICCV | Learning equivariant structured output SVM regressors. | Andrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman |
| 2009 | BMVC | Object Localization with Global and Local Context Kernels. | Matthew B. Blaschko, Christoph H. Lampert |
| 2008 | CVPR | Correlational spectral clustering. | Matthew B. Blaschko, Christoph H. Lampert |
| 2008 | CVPR | Beyond sliding windows: Object localization by efficient subwindow search. | Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann |
| 2008 | ECCV | Learning to Localize Objects with Structured Output Regression. | Matthew B. Blaschko, Christoph H. Lampert |
| 2005 | CVPR | Combining Local and Global Image Features for Object Class Recognition. | Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Erik G. Learned-Miller, Mark C. Benfield |
| 2005 | WACV | Automatic In Situ Identification of Plankton. | Matthew B. Blaschko, Gary Holness, Marwan A. Mattar, Dimitri A. Lisin, Paul E. Utgoff, Allen R. Hanson, Howard J. Schultz, Edward M. Riseman, Michael E. Sieracki, William M. Balch, Ben Tupper |