84 citations · 554 across the 60 of their papers we have counts for
7 papers · 1 filter
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
Ping Li, Yu Zhang, Li Yuan +3
Video object segmentation has been applied to various computer vision tasks, such as video editing, autonomous driving, and human-robot interaction. However, the methods based on d…
Triple-View Knowledge Distillation for Semi-Supervised Semantic Segmentation
Ping Li, Junjie Chen, Li Yuan +2
To alleviate the expensive human labeling, semi-supervised semantic segmentation employs a few labeled images and an abundant of unlabeled images to predict the pixel-level label m…
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation
Ping Li, Yu Zhang, Li Yuan +1
Referring Video Object Segmentation (RVOS) requires segmenting the object in video referred by a natural language query. Existing methods mainly rely on sophisticated pipelines to…
Efficient Long-Short Temporal Attention Network for Unsupervised Video Object Segmentation
Ping Li, Yu Zhang, Li Yuan +3
Unsupervised Video Object Segmentation (VOS) aims at identifying the contours of primary foreground objects in videos without any prior knowledge. However, previous methods do not…
A pruning method based on the dissimilarity of angle among channels and filters
Jiayi Yao, Ping Li, Xiatao Kang +1
Convolutional Neural Network (CNN) is more and more widely used in various fileds, and its computation and memory-demand are also increasing significantly. In order to make it appl…
Exploring global diverse attention via pairwise temporal relation for video summarization
Ping Li, Qinghao Ye, Luming Zhang +3
Video summarization is an effective way to facilitate video searching and browsing. Most of existing systems employ encoder-decoder based recurrent neural networks, which fail to e…