no code implementations • Findings (EMNLP) 2021 • Bo Ouyang, Wenbing Huang, Runfa Chen, Zhixing Tan, Yang Liu, Maosong Sun, Jihong Zhu
Knowledge representation learning (KRL) has been used in plenty of knowledge-driven tasks.
no code implementations • 1 Apr 2024 • Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang
Based on the assumption of local rigidity, one solution for reducing complexity is to decompose the overall shape into independent local regions using Local Reference Frames (LRFs) that are invariant to SE(3) transformations.
1 code implementation • 30 May 2023 • Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang
Learning a shared policy that guides the locomotion of different agents is of core interest in Reinforcement Learning (RL), which leads to the study of morphology-agnostic RL.
1 code implementation • 15 Mar 2022 • Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang
After the great success of Vision Transformer variants (ViTs) in computer vision, it has also demonstrated great potential in domain adaptive semantic segmentation.
Ranked #7 on Semantic Segmentation on SYNTHIA-to-Cityscapes
1 code implementation • 17 Feb 2022 • Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
In this survey, we provide a comprehensive review of various Graph Transformer models from the architectural design perspective.
2 code implementations • CVPR 2020 • Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang
The proposed architecture, termed as NICE-GAN, exhibits two advantageous patterns over previous approaches: First, it is more compact since no independent encoding component is required; Second, this plug-in encoder is directly trained by the adversary loss, making it more informative and trained more effectively if a multi-scale discriminator is applied.