The extraction of lakes from remote sensing images is a complex challeng...
Creating realistic 3D facial animation is crucial for various applicatio...
Human hands, the primary means of non-verbal communication, convey intri...
Speech-driven 3D face animation poses significant challenges due to the
...
Optical satellite images are a critical data source; however, cloud cove...
Recent score-based diffusion models (SBDMs) show promising results in
un...
This work aims to provide a deep-learning solution for the motion
interp...
This work studies the multi-human parsing problem. Existing methods, eit...
Satellite imagery analysis plays a vital role in remote sensing, but the...
Audio-Driven Face Animation is an eagerly anticipated technique for
appl...
Multimodal sensors (e.g., visual, non-visual, and wearable) provide
comp...
Skeleton data is of low dimension. However, there is a trend of using ve...
Automatically translating images to texts involves image scene understan...
Opponent modeling is essential to exploit sub-optimal opponents in strat...
Unmanned Aerial Vehicle (UAV) offers lots of applications in both commer...
Owning to the unremitting efforts by a few institutes, significant progr...
Vehicle Re-identification (ReID) is an important yet challenging problem...
Object detection and instance segmentation are two fundamental computer
...
Head and human detection have been rapidly improved with the development...
Pedestrian detection in crowded scenes is a challenging problem, because...
Recent deep learning based face recognition methods have achieved great
...
Person re-identification (Re-ID) across multiple datasets is a challengi...
In this paper, we study the challenging unconstrained set-based face
rec...
Siamese network based trackers formulate tracking as convolutional featu...
Many reality tasks such as robot coordination can be naturally modelled ...
Deep learning based computer vision fails to work when labeled images ar...
Deep learning models have enjoyed great success for image related comput...
High performance face detection remains a very challenging problem,
espe...
Despite the remarkable progress in face recognition related technologies...
Skeleton-based human action recognition has recently attracted increasin...
Feature extraction and matching are two crucial components in person
Re-...
In this paper, we address the problem of estimating the positions of hum...
This paper proposes a new Generative Partition Network (GPN) to address ...
Skeleton-based human action recognition has recently attracted increasin...
Human action recognition is an important task in computer vision. Extrac...
Human action recognition from well-segmented 3D skeleton data has been
i...
Skeleton based action recognition distinguishes human actions using the
...
Multiple Object Tracking (MOT) is an important computer vision problem w...