790 citations · 1.7k across the 23 of their papers we have counts for
3 papers · 2 filters
ResFeats: Residual Network Based Features for Image Classification
Ammar Mahmood, Mohammed Bennamoun, Senjian An +1
Deep residual networks have recently emerged as the state-of-the-art architecture in image segmentation and object detection. In this paper, we propose new image features (called R…
Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
Qiuhong Ke, Mohammed Bennamoun, Senjian An +2
Predicting an interaction before it is fully executed is very important in applications such as human-robot interaction and video surveillance. In a two-human interaction scenario,…
Learning deep structured network for weakly supervised change detection
Salman H Khan, Xuming He, Fatih Porikli +3
Conventional change detection methods require a large number of images to learn background models or depend on tedious pixel-level labeling by humans. In this paper, we present a w…