activity
20202023
most citedSelf-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

23 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2023

Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion

Jianrong Wang, Jinyu Liu, Li Liu +4

Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters of articulators from speech audio. There are two common challenges in AAI, which are the limited data and t…

cs.SD2022

Residual-guided Personalized Speech Synthesis based on Face Image

Jianrong Wang, Zixuan Wang, Xiaosheng Hu +3

Previous works derive personalized speech features by training the model on a large dataset composed of his/her audio sounds. It was reported that face information has a strong lin…

cs.MM2021

An Attention Self-supervised Contrastive Learning based Three-stage Model for Hand Shape Feature Representation in Cued Speech

Jianrong Wang, Nan Gu, Mei Yu +3

Cued Speech (CS) is a communication system for deaf people or hearing impaired people, in which a speaker uses it to aid a lipreader in phonetic level by clarifying potentially amb…

cs.MM2021★ 2 cited

Cross-Modal Knowledge Distillation Method for Automatic Cued Speech Recognition

Jianrong Wang, Ziyue Tang, Xuewei Li +3

Cued Speech (CS) is a visual communication system for the deaf or hearing impaired people. It combines lip movements with hand cues to obtain a complete phonetic repertoire. Curren…

cs.CV2020★ 23 cited

Self-Supervised Joint Learning Framework of Depth Estimation via Implicit Cues

Jianrong Wang, Ge Zhang, Zhenyu Wu +2

In self-supervised monocular depth estimation, the depth discontinuity and motion objects' artifacts are still challenging problems. Existing self-supervised methods usually utiliz…