activity
20202023
most citedStructured Multi-modal Feature Embedding and Alignment for Image-Sentence Retrieval

49 citations · 158 across the 25 of their papers we have counts for

collaborators

25 papers

cs.CV2023

Triplet Knowledge Distillation

Xijun Wang, Dongyang Liu, Meina Kan +3

In Knowledge Distillation, the teacher is generally much larger than the student, making the solution of the teacher likely to be difficult for the student to learn. To ease the mi…

cs.SD2022

FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition

Xingchen Song, Di Wu, Binbin Zhang +8

The recently proposed Conformer architecture which combines convolution with attention to capture both local and global dependencies has become the \textit{de facto} backbone model…

cs.CL2022

A Character-level Span-based Model for Mandarin Prosodic Structure Prediction

Xueyuan Chen, Changhe Song, Yixuan Zhou +4

The accuracy of prosodic structure prediction is crucial to the naturalness of synthesized speech in Mandarin text-to-speech system, but now is limited by widely-used sequence-to-s…

cs.CV2022★ 5 cited

Syntax-Aware Network for Handwritten Mathematical Expression Recognition

Ye Yuan, Xiao Liu, Wondimu Dikubab +4

Handwritten mathematical expression recognition (HMER) is a challenging task that has many potential applications. Recent methods for HMER have achieved outstanding performance wit…

cs.CL2022★ 14 cited

BERT-LID: Leveraging BERT to Improve Spoken Language Identification

Yuting Nie, Junhong Zhao, Wei-Qiang Zhang +1

Language identification is the task of automatically determining the identity of a language conveyed by a spoken segment. It has a profound impact on the multilingual interoperabil…

cs.CV2021

Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation

Yuxiang Wei, Yupeng Shi, Xiao Liu +4

Unsupervised disentanglement learning is a crucial issue for understanding and exploiting deep generative models. Recently, SeFa tries to find latent disentangled directions by per…