activity
20202022
most citedTouch and Go: Learning from Human-Collected Vision and Touch

20 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD20221 cited

Improve Bilingual TTS Using Dynamic Language and Phonology Embedding

Fengyu Yang, Jian Luan, Yujun Wang

In most cases, bilingual TTS needs to handle three types of input scripts: first language only, second language only, and second language embedded in the first language. In the lat…

cs.CV202220 cited

Touch and Go: Learning from Human-Collected Vision and Touch

Fengyu Yang, Chenyang Ma, Jiacheng Zhang +3

The ability to associate touch with sight is essential for tasks that require physically interacting with objects in the world. We propose a dataset with paired visual and tactile…

cs.CV2022

RBC: Rectifying the Biased Context in Continual Semantic Segmentation

Hanbin Zhao, Fengyu Yang, Xinghe Fu +1

Recent years have witnessed a great development of Convolutional Neural Networks in semantic segmentation, where all classes of training images are simultaneously available. In pra…

eess.AS2021

Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion

Zhichao Wang, Xinyong Zhou, Fengyu Yang +6

Current voice conversion (VC) methods can successfully convert timbre of the audio. As modeling source audio's prosody effectively is a challenging task, there are still limitation…

eess.AS2020

Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis

Fengyu Yang, Shan Yang, Qinghua Wu +2

Attention-based seq2seq text-to-speech systems, especially those use self-attention networks (SAN), have achieved state-of-art performance. But an expressive corpus with rich proso…