activity
20142023
most citedHiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

20 citations · 46 across the 16 of their papers we have counts for

collaborators

17 papers

cs.CV202313 cited

MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

Bang Yang, Fenglin Liu, Xian Wu +3

Supervised visual captioning models typically require a large scale of images or videos paired with descriptions in a specific language (i.e., the vision-caption pairs) for trainin…

cs.CV20234 cited

Customizing General-Purpose Foundation Models for Medical Report Generation

Bang Yang, Asif Raza, Yuexian Zou +1

Medical caption prediction which can be regarded as a task of medical report generation (MRG), requires the automatic generation of coherent and accurate captions for the given med…

cs.SD202320 cited

HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec

Dongchao Yang, Songxiang Liu, Rongjie Huang +3

Audio codec models are widely used in audio communication as a crucial technique for compressing audio into discrete representations. Nowadays, audio codec models are increasingly…

cs.CL2023

TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction

Hao An, Dongsheng Chen, Weiyuan Xu +2

Dialogue-based Relation Extraction (DRE) aims to predict the relation type of argument pairs that are mentioned in dialogue. The latest trigger-enhanced methods propose trigger pre…

cs.SD2023

Improving Text-Audio Retrieval by Text-aware Attention Pooling and Prior Matrix Revised Loss

Yifei Xin, Dongchao Yang, Yuexian Zou

In text-audio retrieval (TAR) tasks, due to the heterogeneity of contents between text and audio, the semantic information contained in the text is only similar to certain frames w…

cs.CV20238 cited

PoseRAC: Pose Saliency Transformer for Repetitive Action Counting

Ziyu Yao, Xuxin Cheng, Yuexian Zou

This paper presents a significant contribution to the field of repetitive action counting through the introduction of a new approach called Pose Saliency Representation. The propos…