4 accepted papers
Estimating statistical parameters from quantized data has received significant attention in recent years, as recovering information from quantized measurements has numerous applications across signal processing, communications, and data analysis. In this work, we focus on maximum likelihood (ML) est…
The generalized hyperbolic (GH) distribution is a highly flexible probability distribution that finds applications in various fields, yet estimating its parameters is quite challenging. This paper focuses on the maximum likelihood (ML) estimation of the GH distribution. In the literature, several ex…
Vision-and-Language (VL) pre-training has shown great potential on many related downstream tasks, such as Visual Question Answering (VQA), one of the most popular problems in the VL field. All of these pre-trained models (such as VisualBERT, ViLBERT, LXMERT and UNITER) are built with Transformer, wh…
Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices. Two tasks -- text-based visual question answering and text-based image captioning, with a text extension from existing v…