13 citations · 27 across the 11 of their papers we have counts for
8 papers · 1 filter
TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation
Xize Cheng, Rongjie Huang, Linjun Li +7
Direct speech-to-speech translation achieves high-quality results through the introduction of discrete units obtained from self-supervised learning. This approach circumvents delay…
Language Model is a Branch Predictor for Simultaneous Machine Translation
Aoxiong Yin, Tianyun Zhong, Haoyuan Li +2
The primary objective of simultaneous machine translation (SiMT) is to minimize latency while preserving the quality of the final translation. Drawing inspiration from CPU branch p…
TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System
Haoyuan Li, Hao Jiang, Tianke Zhang +6
Training AI models has always been challenging, especially when there is a need for custom models to provide personalized services. Algorithm engineers often face a lengthy process…
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
Zehan Wang, Haifeng Huang, Yang Zhao +5
3D visual grounding aims to localize the target object in a 3D point cloud by a free-form language description. Typically, the sentences describing the target object tend to provid…
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
Zehan Wang, Haifeng Huang, Yang Zhao +5
3D visual grounding involves finding a target object in a 3D scene that corresponds to a given sentence query. Although many approaches have been proposed and achieved impressive p…
Gloss Attention for Gloss-free Sign Language Translation
Aoxiong Yin, Tianyun Zhong, Li Tang +3
Most sign language translation (SLT) methods to date require the use of gloss annotations to provide additional supervision information, however, the acquisition of gloss is not ea…
Connecting Multi-modal Contrastive Representations
Zehan Wang, Yang Zhao, Xize Cheng +8
Multi-modal Contrastive Representation learning aims to encode different modalities into a semantically aligned shared space. This paradigm shows remarkable generalization ability…
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
Xize Cheng, Linjun Li, Tao Jin +7
Multi-media communications facilitate global interaction among people. However, despite researchers exploring cross-lingual translation techniques such as machine translation and a…