Continuum robots are promising candidates for interactive tasks in vario...
Camera pose estimation is a key step in standard 3D reconstruction pipel...
Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON...
Learned graph neural networks (GNNs) have recently been established as f...
Millions of images of human faces are captured every single day; but the...
Coordinate-based networks have emerged as a powerful tool for 3D
represe...
Neural representations have emerged as a new paradigm for applications i...
Numerical integration is a foundational technique in scientific computin...
Implicitly defined, continuous, differentiable signal representations
pa...
Non-line-of-sight (NLOS) imaging and tracking is an emerging paradigm th...