1 citations · 1 across the 4 of their papers we have counts for
4 papers
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control
Salar Asayesh, Hossein Sheikhi Darani, Mo chen +2
Classical pixel-based Visual Servoing (VS) approaches offer high accuracy but suffer from a limited convergence area due to optimization nonlinearity. Modern deep learning-based VS…
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations
Sharath Girish, Abhinav Shrivastava, Kamal Gupta
Implicit Neural Representations (INR) or neural fields have emerged as a popular framework to encode multimedia signals such as images and radiance fields while retaining high-qual…
ASIC: Aligning Sparse in-the-wild Image Collections
Kamal Gupta, Varun Jampani, Carlos Esteves +4
We present a method for joint alignment of sparse in-the-wild image collections of an object category. Most prior works assume either ground-truth keypoint annotations or a large d…
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
Simon Odense, Kamal Gupta, William G. Macready
The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important…