4 citations · 4 across the 1 of their papers we have counts for
3 papers
Hierarchical Residual Attention Network for Single Image Super-Resolution
Parichehr Behjati, Pau Rodriguez, Armin Mehri +3
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, and attention mechanisms have further improved…
Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
Germán Barquero, Carles Fernández, Isabelle Hupont
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that do not operate in real-time, often making them impractical for video…
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Parichehr Behjati, Pau Rodriguez, Armin Mehri +3
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the depth and width of the networks increase, CNN-…