Constructing a high-quality dense map in real-time is essential for robo...
Existing knowledge distillation methods generally use a teacher-student
...
We investigate a practical domain adaptation task, called source-free do...
Thyroid nodule classification aims at determining whether the nodule is
...
UAVs (Unmanned Aerial Vehicles) dynamic encirclement is an emerging fiel...
The problem of multi-robot navigation of connectivity maintenance is
cha...
In this paper, a safe and learning-based control framework for model
pre...
Enforcing safety on precise trajectory tracking is critical for aerial
r...
Safety and tracking stability are crucial for safety-critical systems su...
In this paper, a novel deep reinforcement learning (DRL)-based method is...
Multi-Person Tracking (MPT) is often addressed within the
detection-to-a...
Data-driven approach for grasping shows significant advance recently. Bu...
Social relationships (e.g., friends, couple etc.) form the basis of the
...
3D human articulated pose recovery from monocular image sequences is ver...
This paper aims at task-oriented action prediction, i.e., predicting a
s...
Human pose estimation (i.e., locating the body parts / joints of a perso...
Semantic labeling of RGB-D scenes is crucial to many intelligent applica...
We propose a new zero-shot Event Detection method by Multi-modal
Distrib...