Depth estimation aims to predict dense depth maps. In autonomous driving...
Video depth estimation aims to infer temporally consistent depth. Some
m...
This paper proposes an adaptive penalized weighted mean regression for
o...
Image captioning (IC) systems aim to generate a text description of the
...
The emergent few-shot reasoning capabilities of Large Language Models (L...
Recent state-of-the-art source-free domain adaptation (SFDA) methods hav...
Accurate acne detection plays a crucial role in acquiring precise diagno...
We introduce a new methodology to conduct simultaneous inference of
non-...
We propose an analysis in fair learning that preserves the utility of th...
We propose a new inference method for multiple change-point detection in...
Noncontact particle manipulation (NPM) technology has significantly exte...
We propose CrossHuman, a novel method that learns cross-guidance from
pa...
Acne detection is crucial for interpretative diagnosis and precise treat...
We consider a fair representation learning perspective, where optimal
pr...
With the recent advances of deep learning techniques, there are rapidly
...
Currently, an increasing number of model pruning methods are proposed to...
Multi-source domain adaptation aims at leveraging the knowledge from mul...
Multiparty Dialogue Machine Reading Comprehension (MRC) differs from
tra...
As an effective nonparametric method, empirical likelihood (EL) is appea...
With the rise of smartphones and the internet-of-things, data is increas...
This paper proposes a new robust smooth-threshold estimating equation to...
Since its debut, SGX has been used in many applications, e.g., secure da...
Robust principal component analysis (RPCA) is a widely used tool for
dim...
There is renewed interest in using advanced techniques to characterize
a...
We present the Molweni dataset, a machine reading comprehension (MRC) da...
In this paper, we propose the scheme for annotating large-scale multi-pa...
Software Defined Internet of Things (SD-IoT) Networks profits from
centr...
As an inevitable trend of future 5G networks, Software Defined architect...