activity
20232026
most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 55 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.SD2023

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…

cs.CV2023

Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding

Haifeng Huang, Yang Zhao, Zehan Wang +2

Temporal Video Grounding (TVG) aims to localize the temporal boundary of a specific segment in an untrimmed video based on a given language query. Since datasets in this domain are…

cs.CV2023★ 5 cited

Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers

Haifeng Huang, Yilun Chen, Zehan Wang +8

Recent advancements in 3D Large Language Models (LLMs) have demonstrated promising capabilities for 3D scene understanding. However, previous methods exhibit deficiencies in genera…

cs.CV2023★ 2 cited

Extending Multi-modal Contrastive Representations

Zehan Wang, Ziang Zhang, Luping Liu +4

Multi-modal contrastive representation (MCR) of more than three modalities is critical in multi-modal learning. Although recent methods showcase impressive achievements, the high d…

cs.CV2023★ 7 cited

Chat-3D: Data-efficiently Tuning Large Language Model for Universal Dialogue of 3D Scenes

Zehan Wang, Haifeng Huang, Yang Zhao +2

3D scene understanding has gained significant attention due to its wide range of applications. However, existing methods for 3D scene understanding are limited to specific downstre…

cs.CV2023

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…

cs.CV2023★ 1 cited

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…

cs.LG2023★ 13 cited

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…

cs.CV2023★ 8 cited

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…