12 citations · 22 across the 6 of their papers we have counts for
6 papers
Symmetric Entropy-Constrained Video Coding for Machines
Yuxiao Sun, Meiqin Liu, Chao Yao +5
As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…
FF2: A Feature Fusion Two-Stream Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao +3
To accomplish punctuation restoration, most existing methods focus on introducing extra information (e.g., part-of-speech) or addressing the class imbalance problem. Recently, larg…
A Context-Aware Feature Fusion Framework for Punctuation Restoration
Yangjun Wu, Kebin Fang, Yao Zhao
To accomplish the punctuation restoration task, most existing approaches focused on leveraging extra information (e.g., part-of-speech tags) or addressing the class imbalance probl…
Multi-modal Graph Learning for Disease Prediction
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu +4
Benefiting from the powerful expressive capability of graphs, graph-based approaches have been popularly applied to handle multi-modal medical data and achieved impressive performa…
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Jiacheng Huang, Yao Zhao, Wei Hu +5
Knowledge graphs (KGs) have become a valuable asset for many AI applications. Although some KGs contain plenty of facts, they are widely acknowledged as incomplete. To address this…
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation
Bingfeng Zhang, Jimin Xiao, Yao Zhao
We focus on tackling weakly supervised semantic segmentation with scribble-level annotation. The regularized loss has been proven to be an effective solution for this task. However…