89 citations · 128 across the 12 of their papers we have counts for
14 papers
Generative Text Modelling and Language-Guided Visual Attention for Deciphering Palimpsests
Robin Hollifeldt, Tianru Zhang, Jessica Ström +1
Recovering obscured text in palimpsests, i.e. the manuscripts where the original writing (under-text) was erased and overwritten for reuse, is vital for preserving lost information…
GeoFlowVLM: Geometry-Aware Joint Uncertainty for Frozen Vision-Language Embedding
Mayank Nautiyal, Li Ju, Andreas Hellander +2
Standard dual-encoder vision-language models that map images and text to deterministic points on a shared unit hypersphere through normalization typically expose neither \…
Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching
Li Ju, Mayank Nautiyal, Andreas Hellander +2
Vision-Language Models (VLMs) are typically deterministic in nature and lack intrinsic mechanisms to quantify epistemic uncertainty, which reflects the model's lack of knowledge or…
Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
Li Ju, Max Andersson, Stina Fredriksson +4
Vision-language models (VLMs) as foundation models have significantly enhanced performance across a wide range of visual and textual tasks, without requiring large-scale training f…
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model
Till Grutschus, Ola Karrar, Emir Esenov +1
This work explores the performance of a large video understanding foundation model on the downstream task of human fall detection on untrimmed video and leverages a pretrained visi…
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition
Liang Cheng, Jonas Frankemölle, Adam Axelsson +1
The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognitio…
Paired Image to Image Translation for Strikethrough Removal From Handwritten Words
Raphaela Heil, Ekta Vats, Anders Hast
Transcribing struck-through, handwritten words, for example for the purpose of genetic criticism, can pose a challenge to both humans and machines, due to the obstructive propertie…
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks
Dmitrijs Kass, Ekta Vats
This work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems. To over…
TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation
Anders Hast, Per Cullhed, Ekta Vats
This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for t…
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing
Prashant Singh, Ekta Vats, Anders Hast
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality me…
Automatic Document Image Binarization using Bayesian Optimization
Ekta Vats, Anders Hast, Prashant Singh
Document image binarization is often a challenging task due to various forms of degradation. Although there exist several binarization techniques in literature, the binarized image…
On-the-fly Historical Handwritten Text Annotation
Ekta Vats, Anders Hast
The performance of information retrieval algorithms depends upon the availability of ground truth labels annotated by experts. This is an important prerequisite, and difficulties a…
Radial Line Fourier Descriptor for Historical Handwritten Text Representation
Anders Hast, Ekta Vats
Automatic recognition of historical handwritten manuscripts is a daunting task due to paper degradation over time. Recognition-free retrieval or word spotting is popularly used for…
Fuzzy human motion analysis: A review
Chern Hong Lim, Ekta Vats, Chee Seng Chan
Human Motion Analysis (HMA) is currently one of the most popularly active research domains as such significant research interests are motivated by a number of real world applicatio…