activity
20192023
most citedQuaternion-valued Correlation Learning for Few-Shot Semantic Segmentation

47 citations · 50 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 47 cited

Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation

Zewen Zheng, Guoheng Huang, Xiaochen Yuan +3

Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for FSS by leveraging semantic features learned fr…

cs.CV2023

Group Equivariant BEV for 3D Object Detection

Hongwei Liu, Jian Yang, Jianfeng Zhang +5

Recently, 3D object detection has attracted significant attention and achieved continuous improvement in real road scenarios. The environmental information is collected from a sing…

cs.CR2021

Fast and Secure Key Generation with Channel Obfuscation in Slowly Varying Environments

Guyue Li, Haiyu Yang, Junqing Zhang +2

The physical-layer secret key generation has emerged as a promising solution for establishing cryptographic keys by leveraging reciprocal and time-varying wireless channels. Howeve…

cs.LG2019★ 3 cited

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Yao Zhu, Hongzhi Liu, Zhonghai Wu +2

Incompleteness is a common problem for existing knowledge graphs (KGs), and the completion of KG which aims to predict links between entities is challenging. Most existing KG compl…

cs.CL2019

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion

Hao Sun, Xu Tan, Jun-Wei Gan +4

Grapheme-to-phoneme (G2P) conversion is an important task in automatic speech recognition and text-to-speech systems. Recently, G2P conversion is viewed as a sequence to sequence t…