Text-guided image generation has witnessed unprecedented progress due to...
Visual metaphors are powerful rhetorical devices used to persuade or
com...
Predicting pedestrian behavior when interacting with vehicles is one of ...
Structured reconstruction is a non-trivial dense prediction problem, whi...
In this paper, we delve into semi-supervised 2D human pose estimation. T...
Entities and events have long been regarded as the crux of machine reaso...
The long-standing theory that a colour-naming system evolves under the d...
Learning from Demonstration (LfD) is a powerful method for enabling robo...
Concept Bottleneck Models (CBM) are inherently interpretable models that...
Federated learning (FL) allows multiple participants to collaboratively ...
Neural language models encode rich knowledge about entities and their
re...
Large-scale pretrained language models have made significant advances in...
Melody harmonization, namely generating a chord progression for a user-g...
Schemata are structured representations of complex tasks that can aid
ar...
Procedural events can often be thought of as a high level goal composed ...
Structure-based Deep Fusion models were recently shown to outperform sev...
In this paper, we study the problem of deceptive reinforcement learning ...
While deep learning methods have shown great success in medical image
an...
We define a class of computable functions over real numbers using functi...
Nowadays, autonomous taxis become a highly promising transportation mode...
In high-dimensions, the prior tails can have a significant effect on bot...
Medical dialogue systems are promising in assisting in telemedicine to
i...
The accurate Attitude Heading Reference System(AHRS) is an important apa...
In this paper, we present a Singular Value Decomposition Cubature Kalman...
Aimed at solving the problem of Attitude and Heading Reference System(AH...
With the fast development of information and communication technology (I...
Modern applications of Bayesian inference involve models that are
suffic...
Often, a community becomes alarmed when high rates of cancer are noticed...
In the context of a high-dimensional linear regression model, we propose...
This paper describes the development of a novel algorithm to tackle the
...
This paper presents a generalized integrated framework of semi-automatic...