Accurate deformable object manipulation (DOM) is essential for achieving...
Cloth manipulation is a category of deformable object manipulation of gr...
We propose a new score-based model with one-step sampling. Previously,
s...
Patient portal allows discharged patients to access their personalized
d...
As the number of recorded meetings increases, it becomes increasingly
im...
The importance of accurate soil moisture data for the development of mod...
Pairwise human judgments are pivotal in guiding large language models (L...
Deformable Image Registration (DIR) plays a significant role in quantify...
Grant-free random access is promising for massive connectivity with spor...
State estimation from measured data is crucial for robotic applications ...
Visual perception plays an important role in autonomous driving. One of ...
Modern virtual assistants use internal semantic parsing engines to conve...
This paper reviews vision-based localization methods in GPS-denied
envir...
Text segmentation is important for signaling a document's structure. Wit...
In the field of intelligent education, knowledge tracing (KT) has attrac...
Knowledge tracing (KT) is a fundamental task in educational data mining ...
Automating the process of manipulating and delivering sutures during rob...
Monocular depth estimation and defocus estimation are two fundamental ta...
We propose novel AI-empowered chat bots for learning as conversation whe...
Text-to-image synthesis aims to generate natural images conditioned on t...
Retraining modern deep learning systems can lead to variations in model
...
Podcasts have recently shown a rapid rise in popularity. Summarization o...
Point spread function (PSF) plays a crucial role in many fields, such as...
Robot manipulation of rope-like objects is an interesting problem that h...
Simulation modeling of robots, objects, and environments is the backbone...
A crucial difference between single- and multi-document summarization is...
With the explosive growth of livestream broadcasting, there is an urgent...
In this paper, we propose an Omni-perception Pre-Trainer (OPT) for
cross...
Modeling of non-rigid object launching and manipulation is complex
consi...
Meeting minutes record any subject matters discussed, decisions reached ...
Monocular 3D object detection is drawing increasing attention from the
c...
Image-only and pseudo-LiDAR representations are commonly used for monocu...
We propose a new approach to generate multiple variants of the target su...
Recent developments in surgical robotics have led to new advancements in...
The orthogonal time frequency space (OTFS) modulation has emerged as a
p...
We present implementation details of our abstractive summarizers that ac...
Meetings are essential to modern organizations. Numerous meetings are he...
The control and task automation of robotic surgical system is very
chall...
Amongst the best means to summarize is highlighting. In this paper, we a...
Four years ago, an experimental system known as PilotNet became the firs...
Autonomous robotic surgery has seen significant progression over the las...
The ability to fuse sentences is highly attractive for summarization sys...
We present an empirical study in favor of a cascade architecture to neur...
The orthogonal time frequency space (OTFS) modulation has emerged as a
p...
Reliable real-time planning for robots is essential in today's rapidly
e...
As a combination of various kinds of technologies, autonomous vehicles c...
Recently, the advancement of deep learning in discriminative feature lea...
Recent promising effort for spectral reconstruction (SR) focuses on lear...
The roles of trust, security and privacy are somewhat interconnected, bu...
Machine learning (ML) methods have gained increasing popularity in explo...