2 citations · 4 across the 18 of their papers we have counts for
7 papers · 1 filter
WordVIS: A Color Worth A Thousand Words
Umar Khan, Saifullah, Stefan Agne +2
Document classification is considered a critical element in automated document processing systems. In recent years multi-modal approaches have become increasingly popular for docum…
Latent Diffusion for Guided Document Table Generation
Syed Jawwad Haider Hamdani, Saifullah Saifullah, Stefan Agne +2
Obtaining annotated table structure data for complex tables is a challenging task due to the inherent diversity and complexity of real-world document layouts. The scarcity of publi…
StylusAI: Stylistic Adaptation for Robust German Handwritten Text Generation
Nauman Riaz, Saifullah Saifullah, Stefan Agne +2
In this study, we introduce StylusAI, a novel architecture leveraging diffusion models in the domain of handwriting style generation. StylusAI is specifically designed to adapt and…
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
Saifullah Saifullah, Stefan Agne, Andreas Dengel +1
Deep learning (DL) has revolutionized the field of document image analysis, showcasing superhuman performance across a diverse set of tasks. However, the inherent black-box nature…
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
Alireza Koochali, Ensiye Tahaei, Andreas Dengel +1
This paper presents VAEneu, an innovative autoregressive method for multistep ahead univariate probabilistic time series forecasting. We employ the conditional VAE framework and op…
Improving Disease Detection from Social Media Text via Self-Augmentation and Contrastive Learning
Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed
Detecting diseases from social media has diverse applications, such as public health monitoring and disease spread detection. While language models (LMs) have shown promising perfo…
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
Payal Varshney, Adriano Lucieri, Christoph Balada +2
Trustworthiness is a major prerequisite for the safe application of opaque deep learning models in high-stakes domains like medicine. Understanding the decision-making process not…