36 citations · 74 across the 12 of their papers we have counts for
4 papers · 1 filter
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
Sen He, Ali Borji, Yang Mi +1
Deep convolutional neural networks have demonstrated high performances for fixation prediction in recent years. How they achieve this, however, is less explored and they remain to…
Aggregated Sparse Attention for Steering Angle Prediction
Sen He, Dmitry Kangin, Yang Mi +1
In this paper, we apply the attention mechanism to autonomous driving for steering angle prediction. We propose the first model, applying the recently introduced sparse attention m…
Salient Region Segmentation
Sen He, Nicolas Pugeault
Saliency prediction is a well studied problem in computer vision. Early saliency models were based on low-level hand-crafted feature derived from insights gained in neuroscience an…
Deep saliency: What is learnt by a deep network about saliency?
Sen He, Nicolas Pugeault
Deep convolutional neural networks have achieved impressive performance on a broad range of problems, beating prior art on established benchmarks, but it often remains unclear what…