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20232026
most citedTikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

9 citations · 19 across the 15 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs

Wenke Xia, Dong Wang, Xincheng Pang +4

Generalizable articulated object manipulation is essential for home-assistant robots. Recent efforts focus on imitation learning from demonstrations or reinforcement learning in si…

cs.CV2023★ 2 cited

Robust Cross-Modal Knowledge Distillation for Unconstrained Videos

Wenke Xia, Xingjian Li, Andong Deng +3

Cross-modal distillation has been widely used to transfer knowledge across different modalities, enriching the representation of the target unimodal one. Recent studies highly rela…

cs.CV2023★ 5 cited

Revisiting Pre-training in Audio-Visual Learning

Ruoxuan Feng, Wenke Xia, Di Hu

Pre-training technique has gained tremendous success in enhancing model performance on various tasks, but found to perform worse than training from scratch in some uni-modal situat…

cs.LG2023★ 1 cited

Balanced Audiovisual Dataset for Imbalance Analysis

Wenke Xia, Xu Zhao, Xincheng Pang +2

The imbalance problem is widespread in the field of machine learning, which also exists in multimodal learning areas caused by the intrinsic discrepancy between modalities of sampl…

cs.CL2023★ 9 cited

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World

Hongpeng Lin, Ludan Ruan, Wenke Xia +8

To facilitate the research on intelligent and human-like chatbots with multi-modal context, we introduce a new video-based multi-modal dialogue dataset, called TikTalk. We collect…