260 citations · 506 across the 15 of their papers we have counts for
21 papers
SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
Chris Choy, Junha Lee, Chunghyun Park +2
Open-vocabulary 3D instance segmentation is a core capability for robotics and AR/VR, but prior methods trade one bottleneck for another: multi-stage 2D+3D pipelines aggregate foun…
Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids
Wei Dong, Chris Choy, Charles Loop +3
Indoor scene reconstruction from monocular images has long been sought after by augmented reality and robotics developers. Recent advances in neural field representations and monoc…
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in A…
Neural Scene Representation for Locomotion on Structured Terrain
David Hoeller, Nikita Rudin, Christopher Choy +2
We propose a learning-based method to reconstruct the local terrain for locomotion with a mobile robot traversing urban environments. Using a stream of depth measurements from the…
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen, Zhenyu Jiang, Christopher Choy +4
Manipulating volumetric deformable objects in the real world, like plush toys and pizza dough, bring substantial challenges due to infinite shape variations, non-rigid motions, and…
Putting 3D Spatially Sparse Networks on a Diet
Junha Lee, Christopher Choy, Jaesik Park
3D neural networks have become prevalent for many 3D vision tasks including object detection, segmentation, registration, and various perception tasks for 3D inputs. However, due t…