Unsignalized intersections are typically considered as one of the most
r...
3D multi-person motion prediction is a challenging task that involves
mo...
In the era of big data, the ubiquity of location-aware portable devices
...
In recent years, the task of weakly supervised audio-visual violence
det...
Object re-identification (ReID) aims to find instances with the same ide...
The geographically weighted regression (GWR) is an essential tool for
es...
This paper presents a portrait stylization method designed for real-time...
Large Language Models pre-trained with self-supervised learning have
dem...
As an essential prerequisite for developing a medical intelligent assist...
Driving trajectory representation learning is of great significance for
...
Most computer vision systems assume distortion-free images as inputs. Th...
Autonomous navigation of ground robots has been widely used in indoor
st...
Given multiple new COVID-19 variants are continuously emerging,
non-phar...
To reconstruct spectral signals from multi-channel observations, in
part...
Neural network-based sequence-to-sequence (seq2seq) models strongly suff...
We demonstrate the implementations of pyramid encoders in both multi-lay...
The success of recommender systems in modern online platforms is insepar...
Point-of-Interest (POI) recommender systems play a vital role in people'...
With the rapid growth of renewable energy resources, the energy trading ...
Constraint satisfaction problem (CSP) is a well-studied combinatorial se...
Taking advantage of nearly 4 million transition records for three years ...
Cultural activity is an inherent aspect of urban life and the success of...
The research on multi-object tracking (MOT) is essentially to solve for ...