4 citations · 4 across the 1 of their papers we have counts for
5 papers · 1 filter
Understanding and Visualizing Deep Visual Saliency Models
Sen He, Hamed R. Tavakoli, Ali Borji +2
Recently, data-driven deep saliency models have achieved high performance and have outperformed classical saliency models, as demonstrated by results on datasets such as the MIT300…
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…
Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion
Weiyao Lin, Yang Mi, Jianxin Wu +2
Action recognition is an important yet challenging task in computer vision. In this paper, we propose a novel deep-based framework for action recognition, which improves the recogn…
A diffusion and clustering-based approach for finding coherent motions and understanding crowd scenes
Weiyao Lin, Yang Mi, Weiyue Wang +3
This paper addresses the problem of detecting coherent motions in crowd scenes and presents its two applications in crowd scene understanding: semantic region detection and recurre…