Existing methods for Salient Object Detection in Optical Remote Sensing
...
No-service rail surface defect (NRSD) segmentation is an essential way f...
Currently, video behavior recognition is one of the most foundational ta...
Designing an effective representation learning method for multimodal
sen...
Multimodal sentiment analysis has become an important research area in t...
Lung cancer is the leading cause of cancer death worldwide. The best sol...
Recently, relying on convolutional neural networks (CNNs), many methods ...
Since Rendle and Krichene argued that commonly used sampling-based evalu...
Financial frauds cause billions of losses annually and yet it lacks effi...
This paper proposes an expressive singing voice synthesis system by
intr...
Semantic segmentation is important for scene understanding. To address t...
We consider a new problem of few-shot learning of compact models.
Meta-l...
Feature extraction is critical for TLS traffic analysis using machine
le...
Point cloud video transmission is challenging due to high encoding/decod...
In this work, we propose PolarBEV for vision-based uneven BEV representa...
Smart grid plays a crucial role for the smart society and the upcoming c...
Modern city governance relies heavily on crowdsourcing (or "co-productio...
Salient object detection (SOD) in optical remote sensing images (RSIs), ...
Field of view (FoV) prediction is critical in 360-degree video multicast...
Salient object detection in optical remote sensing images (ORSI-SOD) has...
Renewable energy resources (RERs) have been increasingly integrated into...
In recent years, the fast development of mobile communications and cloud...
In the computer vision community, great progresses have been achieved in...
Point cloud video has been widely used by augmented reality (AR) and vir...
3D convolutional neural networks have achieved promising results for vid...
This paper investigates adaptive streaming of one or multiple tiled 360
...
Due to the Covid-19 pandemic, more than 500 US-based colleges and
univer...
Recently, Rendle has warned that the use of sampling-based top-k metrics...
Recently, linear regression models, such as EASE and SLIM, have shown to...
In this paper, we study the optimal transmission of a multi-quality tile...
Since the recent study (Krichene and Rendle 2020) done by Krichene and R...
We consider the problem of referring segmentation in images and videos w...
As a natural way for human-computer interaction, fixation provides a
pro...
Under scenario of high frequency data, consistent estimator of realized
...
In this paper, we would like to investigate optimal wireless streaming o...
In this paper, we investigate wireless streaming of multi-quality tiled ...
We develop Edgeworth expansion theory for spot volatility estimator unde...
Depth maps contain geometric clues for assisting Salient Object Detectio...
Emotion is an essential part of Artificial Intelligence (AI) and human m...
Analyzing and mining students' behaviors and interactions from big data ...
Similar product recommendation is one of the most common scenes in
e-com...
We consider referring image segmentation. It is a problem at the interse...
360-degree video provides an immersive 360-degree viewing experience and...
In this paper, we would like to investigate fundamental impacts of multi...
Point cloud video is the most popular representation of hologram, which ...
In this letter, we study the transmission of a multi-view video (MVV) to...
Multi-tenant GPU clusters are common nowadays due to the huge success of...
Emotion is well-recognized as a distinguished symbol of human beings, an...
Good quality sleep is essential for good health and sleep monitoring bec...
The ever accelerating process of urbanization urges more and more popula...