84 citations · 554 across the 60 of their papers we have counts for
60 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…
Word Embedding with Neural Probabilistic Prior
Shaogang Ren, Dingcheng Li, Ping Li
To improve word representation learning, we propose a probabilistic prior which can be seamlessly integrated with word embedding models. Different from previous methods, word embed…
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…
Empirical Risk Minimization for Losses without Variance
Guanhua Fang, Ping Li, Gennady Samorodnitsky
This paper considers an empirical risk minimization problem under heavy-tailed settings, where data does not have finite variance, but only has -th moment with . In…