The ability to leverage heterogeneous robotic experience from different
...
Assessing student answers and providing valuable feedback is crucial for...
Recent works have shown that large models pretrained on common visual
le...
Reinforcement learning (RL) has been shown to be effective at learning
c...
We study the problem of robotic stacking with objects of complex geometr...
Imitation learning is an effective tool for robotic learning tasks where...
The sense of touch is fundamental in several manipulation tasks, but rar...
Learning dexterous manipulation in high-dimensional state-action spaces ...
Typical Magnetic Resonance Imaging (MRI) scan may take 20 to 60 minutes....
Collecting and automatically obtaining reward signals from real robotic
...
Though tremendous strides have been made in uncontrolled face detection,...
3D Morphable Models (3DMMs) are statistical models that represent facial...
Generative Adversarial Networks (GANs) are currently the method of choic...
Recently proposed robust 3D face alignment methods establish either dens...
In this paper we present the results of the Unconstrained Ear Recognitio...