978 citations · 7k across the 148 of their papers we have counts for
7 papers · 1 filter
Learning Motion Patterns in Videos
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
The problem of determining whether an object is in motion, irrespective of camera motion, is far from being solved. We address this challenging task by learning motion patterns in…
Areas of Attention for Image Captioning
Marco Pedersoli, Thomas Lucas, Cordelia Schmid +1
We propose "Areas of Attention", a novel attention-based model for automatic image captioning. Our approach models the dependencies between image regions, caption words, and the st…
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
Grégory Rogez, Cordelia Schmid
This paper addresses the problem of 3D human pose estimation in the wild. A significant challenge is the lack of training data, i.e., 2D images of humans annotated with 3D poses. S…
Human Action Localization with Sparse Spatial Supervision
Philippe Weinzaepfel, Xavier Martin, Cordelia Schmid
We introduce an approach for spatio-temporal human action localization using sparse spatial supervision. Our method leverages the large amount of annotated humans available today a…
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…
Weakly-Supervised Semantic Segmentation using Motion Cues
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid
Fully convolutional neural networks (FCNNs) trained on a large number of images with strong pixel-level annotations have become the new state of the art for the semantic segmentati…