978 citations · 4.5k across the 70 of their papers we have counts for
5 papers · 1 filter
Context-aware CNNs for person head detection
Tuan-Hung Vu, Anton Osokin, Ivan Laptev
Person detection is a key problem for many computer vision tasks. While face detection has reached maturity, detecting people under a full variation of camera view-points, human po…
Unsupervised Learning from Narrated Instruction Videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal +3
We address the problem of automatically learning the main steps to complete a certain task, such as changing a car tire, from a set of narrated instruction videos. The contribution…
P-CNN: Pose-based CNN Features for Action Recognition
Guilhem Chéron, Ivan Laptev, Cordelia Schmid
This work targets human action recognition in video. While recent methods typically represent actions by statistics of local video features, here we argue for the importance of a r…
Unsupervised Object Discovery and Tracking in Video Collections
Suha Kwak, Minsu Cho, Ivan Laptev +2
This paper addresses the problem of automatically localizing dominant objects as spatio-temporal tubes in a noisy collection of videos with minimal or even no supervision. We formu…
Weakly-Supervised Alignment of Video With Text
Piotr Bojanowski, Rémi Lajugie, Edouard Grave +4
Suppose that we are given a set of videos, along with natural language descriptions in the form of multiple sentences (e.g., manual annotations, movie scripts, sport summaries etc.…