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20232025
most citedZero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization

24 citations · 28 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction

Jiexin Wang, Yiju Guo, Bing Su

Human motion prediction (HMP) involves forecasting future human motion based on historical data. Graph Convolutional Networks (GCNs) have garnered widespread attention in this fiel…

cs.CV202324 cited

Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization

Yujie Zhou, Wenwen Qiang, Anyi Rao +3

Zero-shot skeleton-based action recognition aims to recognize actions of unseen categories after training on data of seen categories. The key is to build the connection between vis…

cs.CV2023

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

Zhao Yang, Bing Su, Ji-Rong Wen

Text-to-motion generation has gained increasing attention, but most existing methods are limited to generating short-term motions that correspond to a single sentence describing a…

cs.CV2023

Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization

Zezhong Lv, Bing Su, Ji-Rong Wen

Video moment localization aims to retrieve the target segment of an untrimmed video according to the natural language query. Weakly supervised methods gains attention recently, as…

cs.CV2023

Toward Auto-evaluation with Confidence-based Category Relation-aware Regression

Jiexin Wang, Jiahao Chen, Bing Su

Auto-evaluation aims to automatically evaluate a trained model on any test dataset without human annotations. Most existing methods utilize global statistics of features extracted…