Center-based 3D Object Detection and Tracking
Three-dimensional objects are commonly represented as 3D boxes in a point-cloud. This representation mimics the well-studied image-based 2D bounding-box detection but comes with...
Publications
3 shownBottom-Up Object Detection by Grouping Extreme and Center Points
With the advent of deep learning, object detection drifted from a bottom-up to a top-down recognition problem. State of the art algorithms enumerate a near-exhaustive list of ob...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 3,847
- Institution
- The University of Texas at Austin
External Links
Identifiers
- ORCID
- 0000-0002-0914-8525
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.