Objective.Visual-Brain Machine Interface(V-BMI) has provide a novel
inte...
Weakly supervised methods, such as class activation maps (CAM) based, ha...
Medical image analysis using deep learning is often challenged by limite...
Radiotherapists require accurate registration of MR/CT images to effecti...
In this paper, we explore the question of whether language models (LLMs)...
We present SET, a frustratingly Simple-yet-effective approach for Entity...
Anaphora resolution is an important task for information extraction acro...
In this paper we present SynKB, an open-source, automatically extracted
...
Scene text image super-resolution (STISR) has been regarded as an import...
A novel palpation-based incision detection strategy in the laryngeal reg...
Non-prehensile multi-object rearrangement is a robotic task of planning
...
Recent work has demonstrated that pre-training in-domain language models...
Face recognition has been extensively studied in computer vision and
art...
We develop Process Execution Graphs (PEG), a document-level representati...
Scene text recognition (STR) is still a hot research topic in computer v...
We present an approach to minimally supervised relation extraction that
...
We consider the scene text recognition problem under the attention-based...
Recognizing text from natural images is still a hot research topic in
co...
Scene text recognition has been a hot research topic in computer vision ...
In this paper, for the first time, we study label propagation in
heterog...