Accurate dietary intake estimation is critical for informing policies an...
Player identification is a crucial component in vision-driven soccer
ana...
Using videos to analyze pitchers in baseball can play a vital role in
st...
In recent years, semantic communication has been a popular research topi...
Channel prediction is critical to address the channel aging issue in mob...
Food image segmentation is an important task that has ubiquitous
applica...
Multi-task learning has shown considerable promise for improving the
per...
With the growth in capabilities of generative models, there has been gro...
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challenge to ensuring adequate nutritional intake. It has been report...
Object pose estimation is a critical task in robotics for precise object...
Semi-supervised learning (SSL) has attracted enormous attention due to i...
Recently, there has been tremendous interest in industry 4.0 infrastruct...
Autonomous bin picking poses significant challenges to vision-driven rob...
There has been increasing interest in smart factories powered by robotic...
With the increased penetration and proliferation of Internet of Things (...
As a prevailing task in video surveillance and forensics field, person
r...
Text-based person search is a sub-task in the field of image retrieval, ...
Recently, video-based person re-identification (re-ID) has drawn increas...
Building footprint extraction in remote sensing data benefits many impor...
Accurately phenotyping plant wilting is important for understanding resp...
Systems powered by artificial intelligence are being developed to be mor...
In many agricultural applications one wants to characterize physical
pro...
Recent advances in Convolutional Neural Networks (CNN) have achieved
rem...