3 papers
cs.CV2022
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Longlong Jing, Ruichi Yu, Henrik Kretzschmar +11
Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving. Approaches to monocular 3D perception includ…
cs.CV2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Austin Stone, Daniel Maurer, Alper Ayvaci +2
We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks by to (over the prior best method UFlow) and eve…
cs.CV2011
Detachable Object Detection: Segmentation and Depth Ordering From Short-Baseline Video
Alper Ayvaci, Stefano Soatto
We describe an approach for segmenting an image into regions that correspond to surfaces in the scene that are partially surrounded by the medium. It integrates both appearance and…