289 citations · 917 across the 73 of their papers we have counts for
11 papers · 1 filter
Deep Temporal Linear Encoding Networks
Ali Diba, Vivek Sharma, Luc Van Gool
The CNN-encoding of features from entire videos for the representation of human actions has rarely been addressed. Instead, CNN work has focused on approaches to fuse spatial and t…
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification
Ali Diba, Ali Mohammad Pazandeh, Luc Van Gool
The video and action classification have extremely evolved by deep neural networks specially with two stream CNN using RGB and optical flow as inputs and they present outstanding p…
Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images
Limin Wang, Zhe Wang, Yu Qiao +1
Event recognition in still images is an intriguing problem and has potential for real applications. This paper addresses the problem of event recognition by proposing a convolution…
Does V-NIR based Image Enhancement Come with Better Features?
Vivek Sharma, Luc Van Gool
Image enhancement using the visible (V) and near-infrared (NIR) usually enhances useful image details. The enhanced images are evaluated by observers perception, instead of quantit…
Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition
Zhiwu Huang, Ruiping Wang, Xianqiu Li +4
Symmetric Positive Definite (SPD) matrices have been widely used for data representation in many visual recognition tasks. The success mainly attributes to learning discriminative…
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez +1
We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neur…