Point cloud classification is an essential component in many
security-cr...
Classifiers in supervised learning have various security and privacy iss...
Contrastive learning (CL) pre-trains general-purpose encoders using an
u...
Contrastive learning pre-trains an image encoder using a large amount of...
Pre-trained encoders are general-purpose feature extractors that can be ...
With soft robotics being increasingly employed in settings demanding hig...
Self-supervised learning has achieved revolutionary progress in the past...
Given a set of unlabeled images or (image, text) pairs, contrastive lear...
3D point cloud classification has many safety-critical applications such...
Top-k predictions are used in many real-world applications such as machi...
Street view images have been increasingly used in tasks like urban land ...
Differentially private machine learning trains models while protecting
p...
Nasopharyngeal (NP) swab sampling is an effective approach for the diagn...
In this work we address limitations in state-of-the-art ultrasound robot...
The development of robotic-assisted extracorporeal ultrasound systems ha...
For humans, both the proprioception and touch sensing are highly utilize...
Touch sensing can help robots understand their sur- rounding environment...
This paper presents a successful application of deep learning for object...