147 citations · 351 across the 22 of their papers we have counts for
3 papers · 1 filter
On the Integration of Optical Flow and Action Recognition
Laura Sevilla-Lara, Yiyi Liao, Fatma Guney +3
Most of the top performing action recognition methods use optical flow as a "black box" input. Here we take a deeper look at the combination of flow and action recognition, and inv…
Sparsity Invariant CNNs
Jonas Uhrig, Nick Schneider, Lukas Schneider +3
In this paper, we consider convolutional neural networks operating on sparse inputs with an application to depth upsampling from sparse laser scan data. First, we show that traditi…
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder +2
The success of deep learning in computer vision is based on availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have r…