38 citations · 94 across the 9 of their papers we have counts for
9 papers
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
Junhao Dong, Zhu Meng, Delong Liu +3
Semi-supervised semantic segmentation has attracted increasing attention in computer vision, aiming to leverage unlabeled data through latent supervision. To achieve this goal, pro…
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification
Ziqi He, Mengjia Xue, Yunhao Du +2
Unsupervised Re-ID methods aim at learning robust and discriminative features from unlabeled data. However, existing methods often ignore the relationship between module parameters…
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval
Yunhao Du, Binyu Zhang, Xiangning Ruan +3
Retrieving tracked-vehicles by natural language descriptions plays a critical role in smart city construction. It aims to find the best match for the given texts from a set of trac…
Cross-Platform Modeling of Users' Behavior on Social Media
Haiqian Gu, Jie Wang, Ziwen Wang +3
With the booming development and popularity of mobile applications, different verticals accumulate abundant data of user information and social behavior, which are spontaneous, gen…
Modeling of User Portrait Through Social Media
Haiqian Gu, Jie Wang, Ziwen Wang +2
Nowadays, massive useful data of user information and social behavior have been accumulated on the Internet, providing a possibility of profiling user's personality traits online.…
Automatic Conditional Generation of Personalized Social Media Short Texts
Ziwen Wang, Jie Wang, Haiqian Gu +2
Automatic text generation has received much attention owing to rapid development of deep neural networks. In general, text generation systems based on statistical language model wi…