362 citations · 891 across the 18 of their papers we have counts for
5 papers · 1 filter
TENet: Triple Excitation Network for Video Salient Object Detection
Sucheng Ren, Chu Han, Xin Yang +2
In this paper, we propose a simple yet effective approach, named Triple Excitation Network, to reinforce the training of video salient object detection (VSOD) from three aspects, s…
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
Jiangliu Wang, Jianbo Jiao, Linchao Bao +3
This paper proposes a novel pretext task to address the self-supervised video representation learning problem. Specifically, given an unlabeled video clip, we compute a series of s…
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
Yuzhen Niu, Weifeng Shi, Wenxi Liu +3
In recent years, vision-based crowd analysis has been studied extensively due to its practical applications in real world. In this paper, we formulate a novel crowd analysis proble…
Context-aware and Scale-insensitive Temporal Repetition Counting
Huaidong Zhang, Xuemiao Xu, Guoqiang Han +1
Temporal repetition counting aims to estimate the number of cycles of a given repetitive action. Existing deep learning methods assume repetitive actions are performed in a fixed t…
Laplacian Denoising Autoencoder
Jianbo Jiao, Linchao Bao, Yunchao Wei +4
While deep neural networks have been shown to perform remarkably well in many machine learning tasks, labeling a large amount of ground truth data for supervised training is usuall…