Neural Visibility Field for Uncertainty-Driven Active Mapping

no code implementations • CVPR 2024 • Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu

This paper presents Neural Visibility Field (NVF), a novel uncertainty quantification method for Neural Radiance Fields (NeRF) applied to active mapping.

NeRF Position +1

Neural Field Dynamics Model for Granular Object Piles Manipulation

no code implementations • 1 Nov 2023 • Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu

We present a learning-based dynamics model for granular material manipulation.

Object Zero-shot Generalization

Tetris-inspired detector with neural network for radiation mapping

1 code implementation • 7 Feb 2023 • Ryotaro Okabe, Shangjie Xue, Jiankai Yu, Tongtong Liu, Benoit Forget, Stefanie Jegelka, Gordon Kohse, Lin-wen Hu, Mingda Li

Here we present a computational framework using Tetris-inspired detector pixels and machine learning for radiation mapping.

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

no code implementations • CVPR 2021 • Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

Scalable sensor simulation is an important yet challenging open problem for safety-critical domains such as self-driving.

Data Augmentation Synthetic Data Generation