Generative pre-trained transformer (GPT) models have revolutionized the ...
Existing Unbiased Scene Graph Generation (USGG) methods only focus on
ad...
While scene text image super-resolution (STISR) has yielded remarkable
i...
Developments in three-dimensional real worlds promote the integration of...
Weather forecasting is a long-standing computational challenge with dire...
Reliance on vast annotations to achieve leading performance severely
res...
Cold-start issues have been more and more challenging for providing accu...
Registration of unmanned aerial vehicle laser scanning (ULS) and ground ...
This paper studies the context aggregation problem in semantic image
seg...
Math word problem (MWP) solving is the task of transforming a sequence o...
The Laplacian representation recently gains increasing attention for
rei...
Deep reinforcement learning (RL) agents trained in a limited set of
envi...
The current research focus on Content-Based Video Retrieval requires
hig...
The CTR (Click-Through Rate) prediction plays a central role in the doma...
Semi-supervised video object segmentation is an interesting yet challeng...
Capturing spatiotemporal correlations is an essential topic in video
cla...
In this paper, we introduce our submissions for the tasks of trimmed act...
During the last decade, the deluge of multimedia data has impacted a wid...
Hashing has shown its efficiency and effectiveness in facilitating
large...
This paper proposes the problem of point-and-count as a test case to bre...
In Class-D Power Amplifiers (CDPAs), the power supply noise can intermod...