Autonomous navigation in off-road conditions requires an accurate estima...
Uncertainty in control and perception poses challenges for autonomous ve...
Image classification has improved with the development of training
techn...
In recent years, learning-based control in robotics has gained significa...
High-speed autonomous driving in off-road environments has immense poten...
In this paper, we tackle the challenging task of Panoramic Image-to-Imag...
Multi-resolution hash encoding has recently been proposed to reduce the
...
Traversability estimation in off-road environments requires a robust
per...
For the safe and successful navigation of autonomous vehicles in unstruc...
Non-holonomic vehicle motion has been studied extensively using physics-...
Neural networks have been increasingly employed in Model Predictive
Cont...
Here, we present a new approach to generate smooth control sequences in ...
Photometric consistency loss is one of the representative objective func...
Currently, mobile robots are developing rapidly and are finding numerous...
Although supervised person re-identification (Re-ID) methods have shown
...
Although unsupervised domain adaptation methods have been widely adopted...
Visible-infrared person re-identification (VI-ReID) is an important task...
Thesedays, Convolutional Neural Networks are widely used in semantic
seg...
Most video person re-identification (re-ID) methods are mainly based on
...
In this paper, we introduce a self-supervised approach for video object
...
Deep learning-based object detectors have shown remarkable improvements....
Deep learning-based semantic segmentation methods have an intrinsic
limi...
To learn target discriminative representations, using pseudo-labels is a...
We introduce a novel unsupervised domain adaptation approach for object
...