activity
20142025
most citedHowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

926 citations · 2.2k across the 54 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Detecting unseen visual relations using analogies

Julia Peyre, Ivan Laptev, Cordelia Schmid +1

We seek to detect visual relations in images of the form of triplets t = (subject, predicate, object), such as "person riding dog", where training examples of the individual entiti…

cs.CV2018★ 151 cited

Neighbourhood Consensus Networks

Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović +3

We address the problem of finding reliable dense correspondences between a pair of images. This is a challenging task due to strong appearance differences between the corresponding…

cs.CV2018

Localizing Moments in Video with Temporal Language

Lisa Anne Hendricks, Oliver Wang, Eli Shechtman +3

Localizing moments in a longer video via natural language queries is a new, challenging task at the intersection of language and video understanding. Though moment localization wit…

cs.CV2018★ 46 cited

InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

Hajime Taira, Masatoshi Okutomi, Torsten Sattler +5

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop…

cs.CV2018★ 171 cited

Learning a Text-Video Embedding from Incomplete and Heterogeneous Data

Antoine Miech, Ivan Laptev, Josef Sivic

Joint understanding of video and language is an active research area with many applications. Prior work in this domain typically relies on learning text-video embeddings. One diffi…