While diffusion models have achieved promising performances in data
synt...
3D dense reconstruction refers to the process of obtaining the complete ...
This invited review discusses causal learning in the context of robotic
...
Structured prediction models aim at solving a type of problem where the
...
Abstract. Purpose: This paper presents a scheme for generating virtual
i...
Endoscopic Sinus and Skull Base Surgeries (ESSBSs) is a challenging and
...
In many situations (e.g., distant supervision), unlabeled entity problem...
Prior methods to text segmentation are mostly at token level. Despite th...
This technique report introduces TexSmart, a text understanding system t...
End-to-end neural networks have achieved promising performances in natur...
In many scenarios, named entity recognition (NER) models severely suffer...
In this work, we present Lexical Unit Analysis (LUA), a framework for ge...
Encoder-decoder architecture has been widely used in neural machine
tran...
In dialog system, dialog act recognition and sentiment classification ar...
Spoken language understanding has been addressed as a supervised learnin...
The intelligent perception of endoscopic vision is appealing in many
com...
Accurate and real-time surgical instrument segmentation is important in ...
Querying the knowledge base (KB) has long been a challenge in the end-to...
Intent detection and slot filling are two main tasks for building a spok...
This invited paper discusses a new but important problem, supervised
aut...
The Raven I and the Raven II surgical robots, as open research platforms...