30 citations · 82 across the 5 of their papers we have counts for
5 papers
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…
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…