We introduce a novel framework to track multiple objects in overhead cam...
Convolutional neural networks trained using manually generated labels ar...
This work proposes a novel framework for visual tracking based on the
in...
We introduce a novel tracking-by-detection framework to track multiple
o...
We propose an unsupervised learning approach using a convolutional and f...
We propose a novel particle filter for convolutional-correlation visual
...
Semantic segmentation with fine-grained pixel-level accuracy is a fundam...
Effective assisted living environments must be able to perform inference...
Camera network and multi-camera calibration for external parameters is a...
A key aspect to controlling and reducing the effects invasive insect spe...
Large-scale annotation of image segmentation datasets is often prohibiti...
In fruit production, critical crop management decisions are guided by bl...
To optimize fruit production, a portion of the flowers and fruitlets of ...
Despite recent improvements using fully convolutional networks, in gener...
We consider the problem of extracting curve skeletons of three-dimension...
Segmentation in dynamic outdoor environments can be difficult when the
i...