activity
20182022
most citedModeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval

15 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 1 cited

NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing

Chunyi Sun, Yanbin Liu, Junlin Han +1

We present NeRFEditor, an efficient learning framework for 3D scene editing, which takes a video captured over 360° as input and outputs a high-quality, identity-preserving stylize…

cs.LG2019

RLINK: Deep Reinforcement Learning for User Identity Linkage

Xiaoxue Li, Yanan Cao, Yanmin Shang +3

User identity linkage is a task of recognizing the identities of the same user across different social networks (SN). Previous works tackle this problem via estimating the pairwise…

cs.CL2019★ 1 cited

Joint Entity Linking with Deep Reinforcement Learning

Zheng Fang, Yanan Cao, Dongjie Zhang +3

Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base. Previous studies have highlighted the necessity for entity linking systems to c…

cs.MM2018★ 1 cited

Semantic Modeling of Textual Relationships in Cross-Modal Retrieval

Jing Yu, Chenghao Yang, Zengchang Qin +3

Feature modeling of different modalities is a basic problem in current research of cross-modal information retrieval. Existing models typically project texts and images into one em…

cs.IR2018★ 15 cited

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval

Jing Yu, Yuhang Lu, Zengchang Qin +4

Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…