Despite the significant progress that depth-based 3D hand pose estimatio...
3D hand pose estimation methods have made significant progress recently....
Sign Language is the dominant form of communication language used in the...
Digitized documents such as scientific articles, tax forms, invoices,
co...
While many action recognition techniques have great success on public
be...
This paper focuses on task recognition and action segmentation in
weakly...
Clear cell renal cell carcinoma (ccRCC) is one of the most common forms ...
This paper focuses on weakly-supervised action alignment, where only the...
Fine-Grained Visual Categorization (FGVC) is a challenging topic in comp...
Haze can degrade the visibility and the image quality drastically, thus
...
Single image de-hazing is a challenging problem, and it is far from solv...
Drowsiness can put lives of many drivers and workers in danger. It is
im...
Hand keypoints detection and pose estimation has numerous applications i...
SSD is one of the state-of-the-art object detection algorithms, and it
c...
HTKS is a game-like cognitive assessment method, designed for children
b...
Supervised learning of convolutional neural networks (CNNs) can require ...
Human body pose estimation and hand detection are two important tasks fo...
This paper introduces principal motion components (PMC), a new method fo...