2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
Gen Li, Varun Jampani, Deqing Sun +1
Humans excel at acquiring knowledge through observation. For example, we can learn to use new tools by watching demonstrations. This skill is fundamental for intelligent systems to…
cs.CV2023
Learning Action Changes by Measuring Verb-Adverb Textual Relationships
Davide Moltisanti, Frank Keller, Hakan Bilen +1
The goal of this work is to understand the way actions are performed in videos. That is, given a video, we aim to predict an adverb indicating a modification applied to the action…
cs.CV2022★ 2 cited
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
Shreyank N Gowda, Marcus Rohrbach, Frank Keller +1
We address the problem of data augmentation for video action recognition. Standard augmentation strategies in video are hand-designed and sample the space of possible augmented dat…