Meta AI recently released the Segment Anything model (SAM), which has
ga...
Although data-free incremental learning methods are memory-friendly,
acc...
Task allocation plays a vital role in multi-robot autonomous cleaning
sy...
Deepfake technologies have been blurring the boundaries between the real...
This paper focuses on the prevalent performance imbalance in the stages ...
In this paper, we propose a new agency-guided semi-supervised counting
a...
State-of-the-art deep neural networks are still struggling to address th...
There have been emerging a number of benchmarks and techniques for the
d...
In this paper, we focus on a new and challenging decentralized machine
l...
This paper focuses on the challenging crowd counting task. As large-scal...
This paper aims to tackle the challenging task of one-shot object counti...
Being spontaneous, micro-expressions are useful in the inference of a
pe...
3D visual tracking is significant to deep space exploration programs, wh...
Anomaly detection plays a key role in industrial manufacturing for produ...
Traditional crowd counting approaches usually use Gaussian assumption to...
In this paper, we focus on the multi-object tracking (MOT) problem of
au...
Recently, image-to-image translation has made significant progress in
ac...
Unsupervised domain adaptation (UDA) aims to address the domain-shift pr...
Micro-expressions (MEs) are brief and involuntary facial expressions tha...
The ability to incrementally learn new classes is crucial to the develop...
Human action recognition from skeleton data, fueled by the Graph
Convolu...
Person re-identification (re-ID) has made great progress and achieved hi...
Recent saliency models extensively explore to incorporate multi-scale
co...
In crowd counting datasets, each person is annotated by a point, which i...
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
Deep neural networks have achieved great success for video analysis and
...
Unpaired Image-to-Image Translation (UIT) focuses on translating images ...
Existing joint optic disc and cup segmentation approaches are developed
...
Facial Micro-expression Recognition (MER) distinguishes the underlying
e...
Recently, the recognition task of spontaneous facial micro-expressions h...
Cross-database micro-expression recognition (CDMER) is one of recently
e...
Despite the remarkable success, deep learning models have shown to be
vu...
Micro-expressions are rapid and involuntary facial expressions, which
in...
PCANet, as one noticeable shallow network, employs the histogram
represe...
Saliency integration approaches have aroused general concern on unifying...
Fisher vector (FV) has become a popular image representation. One notabl...
Dynamic texture and scene classification are two fundamental problems in...