Search Results for author:
Found 3 papers, 1 papers with code
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking
Monocular image-based 3D perception has become an active research area in recent years owing to its applications in autonomous driving.
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks by $36\%$ to $40\%$ (over the prior best method UFlow) and even outperforms several supervised approaches such as PWC-Net and FlowNet2.
Occlusion Detection and Motion Estimation with Convex Optimization
We tackle the problem of simultaneously detecting occlusions and estimating optical flow.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
