Mengyuan Liu

According to our database, Mengyuan Liu authored at least 82 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MoSa: Motion Generation with Scalable Autoregressive Modeling.

Mengyuan Liu, Sheng Yan, Yong Wang, Yingjie Li, Gui-Bin Bian, Hong Liu

CoRR, November, 2025

H₂OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers.

Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Shijian Lu, Nicu Sebe

CoRR, September, 2025

Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning.

Mengyuan Liu, Xinshun Wang, Zhongbin Fang, Deheng Ye, Xia Li, Tao Tang, Songtao Wu, Xiangtai Li, Ming-Hsuan Yang

CoRR, August, 2025

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training.

Bin Ren, Xiaoshui Huang, Mengyuan Liu, Hong Liu, Fabio Poiesi, Nicu Sebe, Guofeng Mei

CoRR, August, 2025

Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition.

Mengyuan Liu, Chen Chen, Songtao Wu, Fanyang Meng, Hong Liu

IEEE Trans. Hum. Mach. Syst., April, 2025

Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration.

Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini

CoRR, March, 2025

HYRE: Hybrid Regressor for 3D Human Pose and Shape Estimation.

Wenhao Li, Mengyuan Liu, Hong Liu, Bin Ren, Xia Li, Yingxuan You, Nicu Sebe

IEEE Trans. Image Process., 2025

NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation.

Jialun Cai, Mengyuan Liu, Hong Liu, Shuheng Zhou, Wenhao Li

IEEE Trans. Image Process., 2025

Frequency-Aware Self-Supervised Group Activity Recognition with skeleton sequences.

Guoquan Wang, Mengyuan Liu, Hong Liu, Jinyan Zhang, Peini Guo, Ruijia Fan, Siyu Chen

Pattern Recognit., 2025

GraphMLP: A graph MLP-like architecture for 3D human pose estimation.

Wenhao Li, Mengyuan Liu, Hong Liu, Tianyu Guo, Ti Wang, Hao Tang, Nicu Sebe

Pattern Recognit., 2025

2024

Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition.

Mengyuan Liu, Hong Liu, Tianyu Guo

IEEE Trans. Hum. Mach. Syst., December, 2024

MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions.

Sheng Yan, Mengyuan Liu, Yong Wang, Yang Liu, Hong Liu

IEEE Trans. Circuits Syst. Video Technol., November, 2024

BCAN: Bidirectional Correct Attention Network for Cross-Modal Retrieval.

Yang Liu, Hong Liu, Huaqiu Wang, Fanyang Meng, Mengyuan Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

CHAMP: A Large-Scale Dataset for Skeleton-Based Composite HumAn Motion Prediction.

Wanying Zhang, Mengyuan Liu, Xinshun Wang, Shen Zhao, Can Wang

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Style-Agnostic Representation Learning for Visible-Infrared Person Re-Identification.

Jianbing Wu, Hong Liu, Wei Shi, Mengyuan Liu, Wenhao Li

IEEE Trans. Multim., 2024

Feature Completion Transformer for Occluded Person Re-Identification.

Tao Wang, Mengyuan Liu, Hong Liu, Wenhao Li, Miaoju Ban, Tianyu Guo, Yidi Li

IEEE Trans. Multim., 2024

Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition.

Jinfu Liu, Xinshun Wang, Can Wang, Yuan Gao, Mengyuan Liu

IEEE Trans. Multim., 2024

Facial Prior Guided Micro-Expression Generation.

Yi Zhang, Xinhua Xu, Youjun Zhao, Yuhang Wen, Zixuan Tang, Mengyuan Liu

IEEE Trans. Image Process., 2024

Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction.

Xinshun Wang, Wanying Zhang, Can Wang, Yuan Gao, Mengyuan Liu

IEEE Trans. Image Process., 2024

TFAN: Twin-Flow Axis Normalization for Human Motion Prediction.

Xin Du, Yong Wang, Zongying Li, Sheng Yan, Mengyuan Liu

IEEE Signal Process. Lett., 2024

Improving self-supervised action recognition from extremely augmented skeleton sequences.

Tianyu Guo, Mengyuan Liu, Hong Liu, Guoquan Wang, Wenhao Li

Pattern Recognit., 2024

A gated cross-domain collaborative network for underwater object detection.

Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu

Pattern Recognit., 2024

ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification.

Zhongbin Fang, Xia Li, Xiangtai Li, Shen Zhao, Mengyuan Liu

Comput. Vis. Image Underst., 2024

Hierarchical Information Flow for Generalized Efficient Image Restoration.

Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini

CoRR, 2024

MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions.

Sheng Yan, Mengyuan Liu, Yong Wang, Yang Liu, Chen Chen, Hong Liu

CoRR, 2024

Point-In-Context: Understanding Point Cloud via In-Context Learning.

Mengyuan Liu, Zhongbin Fang, Xia Li, Joachim M. Buhmann, Xiangtai Li, Chen Change Loy

CoRR, 2024

Key-Graph Transformer for Image Restoration.

Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe

CoRR, 2024

Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition.

Mengyuan Liu, Chen Chen, Songtao Wu, Fanyang Meng, Hong Liu

CoRR, 2024

Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation.

Ti Wang, Mengyuan Liu, Hong Liu, Bin Ren, Yingxuan You, Wenhao Li, Nicu Sebe, Xia Li

CoRR, 2024

Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton.

Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang

CoRR, 2024

Explore Human Parsing Modality for Action Recognition.

Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Shen Zhao, Mengyuan Liu

CoRR, 2024

Explore human parsing modality for action recognition.

Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Fanglue Zhang, Shen Zhao, Mengyuan Liu

CAAI Trans. Intell. Technol., 2024

Sharing Key Semantics in Transformer Makes Efficient Image Restoration.

Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition.

Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition.

Jinfu Liu, Chen Chen, Mengyuan Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VG4D: Vision-Language Model Goes 4D Video Recognition.

Zhichao Deng, Xiangtai Li, Xia Li, Yunhai Tong, Shen Zhao, Mengyuan Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Survey on Backbones for Deep Video Action Recognition.

Zixuan Tang, Youjun Zhao, Yuhang Wen, Mengyuan Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Denoising Diffusion Probabilistic Models for Action-Conditioned 3D Motion Generation.

Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe

Proceedings of the IEEE International Conference on Acoustics, 2024

Diffusion-Based Pose Refinement and Multi-Hypothesis Generation for 3D Human Pose Estimation.

Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang

Proceedings of the IEEE International Conference on Acoustics, 2024

Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning.

Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation.

Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning.

Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation.

Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang, Wenming Yang

IEEE Trans. Multim., 2023

Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation.

Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe

CoRR, 2023

Double-chain Constraints for 3D Human Pose Estimation in Images and Videos.

Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Wenming Yang

CoRR, 2023

Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition.

Tianyu Guo, Mengyuan Liu, Hong Liu, Wenhao Li, Jingwen Guo, Tao Wang, Yidi Li

CoRR, 2023

Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models.

Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe

CoRR, 2023

A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation.

Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explore In-Context Learning for 3D Point Cloud Understanding.

Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Modal Retrieval for Motion and Text via DropTriple Loss.

Sheng Yan, Yang Liu, Haoqiang Wang, Xin Du, Mengyuan Liu, Hong Liu

Proceedings of the ACM Multimedia Asia 2023, 2023

Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction.

Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu

Proceedings of the ACM Multimedia Asia 2023, 2023

Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction.

Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu

Proceedings of the ACM Multimedia Asia 2023, 2023

Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction.

Wanying Zhang, Shen Zhao, Fanyang Meng, Songtao Wu, Mengyuan Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning.

Yang Liu, Chen Chen, Can Wang, Xulin King, Mengyuan Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition.

Yuhang Wen, Zixuan Tang, Yunsheng Pang, Beichen Ding, Mengyuan Liu

IROS, 2023

Multi-Stream Facial Adaptive Network for Expression Recognition from a Single Image.

Baichuan Zhang, Fanyang Meng, Runwei Ding, Mengyuan Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation.

Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Integrating Human Parsing and Pose Network for Human Action Recognition.

Runwei Ding, Yuhang Wen, Jinfu Liu, Nan Dai, Fanyang Meng, Mengyuan Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation.

Chang Liu, Mengyi Zhao, Bin Ren, Mengyuan Liu, Nicu Sebe

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition.

Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Regularizing Visual Semantic Embedding With Contrastive Learning for Image-Text Matching.

Yang Liu, Hong Liu, Huaqiu Wang, Mengyuan Liu

IEEE Signal Process. Lett., 2022

Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning.

Mengyuan Liu, Youneng Bao, Yongsheng Liang, Fanyang Meng

IEEE Signal Process. Lett., 2022

Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning.

Wei Shi, Hong Liu, Mengyuan Liu

Pattern Recognit., 2022

IRANet: Identity-relevance aware representation for cloth-changing person re-identification.

Wei Shi, Hong Liu, Mengyuan Liu

Image Vis. Comput., 2022

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition.

Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Lifting Transformer for 3D Human Pose Estimation in Video.

Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang

CoRR, 2021

Facial Prior Based First Order Motion Model for Micro-expression Generation.

Yi Zhang, Youjun Zhao, Yuhang Wen, Zixuan Tang, Xinhua Xu, Mengyuan Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Attend, Correct And Focus: A Bidirectional Correct Attention Network For Image-Text Matching.

Yang Liu, Huaqiu Wang, Fanyang Meng, Mengyuan Liu, Hong Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Identity-sensitive loss guided and instance feature boosted deep embedding for person search.

Wei Shi, Hong Liu, Mengyuan Liu

Neurocomputing, 2020

A Survey on 3D Skeleton-Based Action Recognition Using Learning Method.

Bin Ren, Mengyuan Liu, Runwei Ding, Hong Liu

CoRR, 2020

Grouped Temporal Enhancement Module for Human Action Recognition.

Hong Liu, Bin Ren, Mengyuan Liu, Runwei Ding

Proceedings of the IEEE International Conference on Image Processing, 2020

RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices.

Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition.

Fanyang Meng, Hong Liu, Yongsheng Liang, Juanhui Tu, Mengyuan Liu

IEEE Trans. Image Process., 2019

Self-Refining Deep Symmetry Enhanced Network for Rain Removal.

Hong Liu, Hanrong Ye, Xia Li, Wei Shi, Mengyuan Liu, Qianru Sun

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos.

Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Robust 3D Action Recognition Through Sampling Local Appearances and Global Distributions.

Mengyuan Liu, Hong Liu, Chen Chen

IEEE Trans. Multim., 2018

3D Action Recognition Using Multiscale Energy-Based Global Ternary Image.

Mengyuan Liu, Hong Liu, Chen Chen

IEEE Trans. Circuits Syst. Video Technol., 2018

Hierarchical Dropped Convolutional Neural Network for Speed Insensitive Human Action Recognition.

Fanyang Meng, Hong Liu, Yongsheng Liang, Mengyuan Liu, Wei Liu

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Spatial-Temporal Data Augmentation Based on LSTM Autoencoder Network for Skeleton-Based Human Action Recognition.

Juanhui Tu, Hong Liu, Fanyang Meng, Mengyuan Liu, Runwei Ding

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

3D action recognition using multi-temporal skeleton visualization.

Mengyuan Liu, Chen Chen, Fanyang Meng, Hong Liu

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016

Depth Context: a new descriptor for human activity recognition by using sole depth sequences.

Mengyuan Liu, Hong Liu

Neurocomputing, 2016

2015

SDM-BSM: A fusing depth scheme for human action recognition.

Hong Liu, Lu Tian, Mengyuan Liu, Hao Tang

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015