31 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.CV2016★ 12 cited
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…
cs.CV2016★ 31 cited
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…
cs.CV2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
Ali Diba, Ali Mohammad Pazandeh, Hamed Pirsiavash +1
The recognition of human actions and the determination of human attributes are two tasks that call for fine-grained classification. Indeed, often rather small and inconspicuous obj…