444 citations · 1.6k across the 80 of their papers we have counts for
8 papers · 1 filter
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
Amir Ghodrati, Ali Diba, Marco Pedersoli +2
In this paper, a new method for generating object and action proposals in images and videos is proposed. It builds on activations of different convolutional layers of a pretrained…
Dynamic Filter Networks
Bert De Brabandere, Xu Jia, Tinne Tuytelaars +1
In a traditional convolutional layer, the learned filters stay fixed after training. In contrast, we introduce a new framework, the Dynamic Filter Network, where filters are genera…
Low-Cost Scene Modeling using a Density Function Improves Segmentation Performance
Vivek Sharma, Sule Yildirim-Yayilgan, Luc Van Gool
We propose a low cost and effective way to combine a free simulation software and free CAD models for modeling human-object interaction in order to improve human & object segmentat…
Image-level Classification in Hyperspectral Images using Feature Descriptors, with Application to Face Recognition
Vivek Sharma, Luc Van Gool
In this paper, we proposed a novel pipeline for image-level classification in the hyperspectral images. By doing this, we show that the discriminative spectral information at image…
Actionness Estimation Using Hybrid Fully Convolutional Networks
Limin Wang, Yu Qiao, Xiaoou Tang +1
Actionness was introduced to quantify the likelihood of containing a generic action instance at a specific location. Accurate and efficient estimation of actionness is important in…
Direction matters: hand pose estimation from local surface normals
Chengde Wan, Angela Yao, Luc Van Gool
We present a hierarchical regression framework for estimating hand joint positions from single depth images based on local surface normals. The hierarchical regression follows the…