Lune

CVPR2020Top-tier venue

Distilled Semantics for Comprehensive Scene Understanding from Videos

Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia

DOIPublisher
2020Year
17Top-tier citations

Abstract

a) (b) (c) (d) (e) (f) Figure 1. Given an input monocular video (a), our network can provide the following outputs in real-time: depth (b), optical flow (c), semantic labels (d), per-pixel motion probabilities (e), motion mask (f).

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Terminal

Install the CLI
lune papers fulltext 834dc5be-039b-4cff-94bc-fb1ba4a49a6b

Cited by top-tier papers17

Ask how each one uses it

Builds on9

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines