LiDAR odometry estimation and 3D semantic segmentation are crucial for
a...
We present a lightweight post-processing method to refine the semantic
s...
Automated video-based assessment of surgical skills is a promising task ...
Deep learning models as an emerging topic have shown great progress in
v...
Feed-forward only convolutional neural networks (CNNs) may ignore intrin...
Recognizing objects and scenes are two challenging but essential tasks i...
This paper presents a novel semantic-based online extrinsic calibration
...
Various saliency detection algorithms from color images have been propos...
This paper presents a novel method for rare event detection from an imag...
This paper proposes a novel method of estimating the absolute scale of
m...
This paper presents an efficient object detection method from satellite
...
Many works have been done on salient object detection using supervised o...
This paper presents a novel method for detecting scene changes from a pa...
In this paper, we propose a method for cloud removal from visible light ...
The Earth observation satellites have been monitoring the earth's surfac...