Emerging tools bring forth fresh approaches to work, and the field of na...
Exploration systems are critical for enhancing the autonomy of robots. D...
This paper presents a novel approach to Bayesian nonparametric spectral
...
Federated Learning, as a popular paradigm for collaborative training, is...
The amount of data has growing significance in exploring cutting-edge
ma...
Previous contrastive learning methods for sentence representations often...
In dialogue state tracking, dialogue history is a crucial material, and ...
As the shared micromobility becomes a part of our daily life and environ...
Uncrewed autonomous vehicles (UAVs) have made significant contributions ...
Appropriate credit assignment for delay rewards is a fundamental challen...
This paper proposes a self-supervised learning method for the person
re-...
Modern multiple object tracking (MOT) systems usually follow the
trackin...
This paper addresses the problem of Monocular Depth Estimation (MDE).
Ex...