978 citations · 4.5k across the 70 of their papers we have counts for
5 papers · 1 filter
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov, Maxime Oquab, Minsu Cho +1
We aim to localize objects in images using image-level supervision only. Previous approaches to this problem mainly focus on discriminative object regions and often fail to locate…
Much Ado About Time: Exhaustive Annotation of Temporal Data
Gunnar A. Sigurdsson, Olga Russakovsky, Ali Farhadi +2
Large-scale annotated datasets allow AI systems to learn from and build upon the knowledge of the crowd. Many crowdsourcing techniques have been developed for collecting image anno…
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang +4
Automatically recognizing and localizing wide ranges of human actions has crucial importance for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013…
Long-term Temporal Convolutions for Action Recognition
Gül Varol, Ivan Laptev, Cordelia Schmid
Typical human actions last several seconds and exhibit characteristic spatio-temporal structure. Recent methods attempt to capture this structure and learn action representations w…
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar A. Sigurdsson, Gül Varol, Xiaolong Wang +3
Computer vision has a great potential to help our daily lives by searching for lost keys, watering flowers or reminding us to take a pill. To succeed with such tasks, computer visi…