1.2k citations · 2.5k across the 56 of their papers we have counts for
60 papers
Beyond Document Page Classification: Design, Datasets, and Challenges
Jordy Van Landeghem, Sanket Biswas, Matthew B. Blaschko +1
This paper highlights the need to bring document classification benchmarking closer to real-world applications, both in the nature of data tested (: multi-channel, multi-paged,…
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction
Wangduo Xie, Matthew B. Blaschko
CT images corrupted by metal artifacts have serious negative effects on clinical diagnosis. Considering the difficulty of collecting paired data with ground truth in clinical setti…
Multimodal Distillation for Egocentric Action Recognition
Gorjan Radevski, Dusan Grujicic, Marie-Francine Moens +2
The focal point of egocentric video understanding is modelling hand-object interactions. Standard models, e.g. CNNs or Vision Transformers, which receive RGB frames as input perfor…
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning
Junyi Zhu, Ruicong Yao, Matthew B. Blaschko
In Federated Learning (FL) and many other distributed training frameworks, collaborators can hold their private data locally and only share the network weights trained with the loc…
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
Federated Learning (FL) is a distributed learning scheme to train a shared model across clients. One common and fundamental challenge in FL is that the sets of data across clients…
Document Understanding Dataset and Evaluation (DUDE)
Jordy Van Landeghem, Rubén Tito, Łukasz Borchmann +10
We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks. Document Understanding…