Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Daniel Maurer 0003

dblp:292/8400 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
3D vision · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › motion estimation
optical flow
0.512021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping · CVPR 2021
Computer vision › 3D vision › motion estimation › optical flow
unsupervised optical flow
0.512021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping · CVPR 2021
Computer vision › 3D vision › motion estimation › optical flow
multi-frame optical flow
0.112021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping · CVPR 2021

Methods — techniques the papers use, named apart from their topics

self-teaching · 0.5full-image warping · 0.5RAFT · 0.5
YearPublicationVenuePosition
2021 SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping
Austin Stone, Daniel Maurer 0003, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
CVPR2