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ORCIDMengyuan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j47]Shengbing Chen, Yong Sun
, Junjie Wang, Mengyuan Wan, Mengyuan Liu, Xiaofan Li:
A multi-scale dual-decoder autoencoder model for domain-shift machine sound anomaly detection. Digit. Signal Process. 156: 104813 (2025)- [j46]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A comprehensive overview from training to inference. Neurocomputing 620: 129190 (2025) - [j45]Wenhao Li, Mengyuan Liu, Hong Liu, Tianyu Guo, Ti Wang, Hao Tang, Nicu Sebe:
GraphMLP: A graph MLP-like architecture for 3D human pose estimation. Pattern Recognit. 158: 110925 (2025) - [j44]Wenhao Li, Mengyuan Liu, Hong Liu, Bin Ren, Xia Li, Yingxuan You, Nicu Sebe:
HYRE: Hybrid Regressor for 3D Human Pose and Shape Estimation. IEEE Trans. Image Process. 34: 235-246 (2025) - [c73]Mengyuan Liu:
Anatomy Segmentation in Lower MRI Using U-Net. SIGCSE (2) 2025: 1756 - [i59]Jiajie Liu, Mengyuan Liu, Hong Liu, Wenhao Li:
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation. CoRR abs/2501.01770 (2025) - [i58]Jialun Cai, Mengyuan Liu, Hong Liu, Wenhao Li, Shuheng Zhou:
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation. CoRR abs/2501.15763 (2025) - 2024
- [j43]Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Fanglue Zhang, Shen Zhao, Mengyuan Liu:
Explore human parsing modality for action recognition. CAAI Trans. Intell. Technol. 9(6): 1623-1633 (2024) - [j42]Weikuan Jia, Kai Cao, Mengyuan Liu, Yuqi Lu, Ze Ji, Guoliang Liu, Xiang Yin, Xinting Ge:
FCOS-EAM: An accurate segmentation method for overlapping green fruits. Comput. Electron. Agric. 226: 109392 (2024) - [j41]Zhongbin Fang, Xia Li, Xiangtai Li, Shen Zhao, Mengyuan Liu:
ModelNet-O: A large-scale synthetic dataset for occlusion-aware point cloud classification. Comput. Vis. Image Underst. 246: 104060 (2024) - [j40]Zixuan Tang, Bin Chen, An Zeng, Mengyuan Liu, Shen Zhao:
Progressive deep snake for instance boundary extraction in medical images. Expert Syst. Appl. 249: 123590 (2024) - [j39]Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu:
A gated cross-domain collaborative network for underwater object detection. Pattern Recognit. 149: 110222 (2024) - [j38]Tianyu Guo, Mengyuan Liu, Hong Liu, Guoquan Wang, Wenhao Li:
Improving self-supervised action recognition from extremely augmented skeleton sequences. Pattern Recognit. 150: 110333 (2024) - [j37]Guoquan Wang, Mengyuan Liu, Hong Liu, Peini Guo, Ti Wang, Jingwen Guo, Ruijia Fan:
Augmented skeleton sequences with hypergraph network for self-supervised group activity recognition. Pattern Recognit. 152: 110478 (2024) - [j36]Xin Du, Yong Wang, Zongying Li, Sheng Yan, Mengyuan Liu:
TFAN: Twin-Flow Axis Normalization for Human Motion Prediction. IEEE Signal Process. Lett. 31: 486-490 (2024) - [j35]Wanying Zhang, Mengyuan Liu, Xinshun Wang, Shen Zhao, Can Wang:
CHAMP: A Large-Scale Dataset for Skeleton-Based Composite HumAn Motion Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10063-10076 (2024) - [j34]Sheng Yan, Mengyuan Liu, Yong Wang, Yang Liu, Hong Liu:
MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11535-11550 (2024) - [j33]Mengyuan Liu, Hong Liu, Tianyu Guo:
Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition. IEEE Trans. Hum. Mach. Syst. 54(6): 743-752 (2024) - [j32]Xinshun Wang, Wanying Zhang, Can Wang, Yuan Gao, Mengyuan Liu:
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction. IEEE Trans. Image Process. 33: 1-15 (2024) - [j31]Yi Zhang, Xinhua Xu, Youjun Zhao, Yuhang Wen, Zixuan Tang, Mengyuan Liu:
Facial Prior Guided Micro-Expression Generation. IEEE Trans. Image Process. 33: 525-540 (2024) - [j30]Jinfu Liu, Xinshun Wang, Can Wang, Yuan Gao, Mengyuan Liu:
Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition. IEEE Trans. Multim. 26: 811-823 (2024) - [j29]Jianbing Wu, Hong Liu, Wei Shi, Mengyuan Liu, Wenhao Li:
Style-Agnostic Representation Learning for Visible-Infrared Person Re-Identification. IEEE Trans. Multim. 26: 2263-2275 (2024) - [j28]Tao Wang, Mengyuan Liu, Hong Liu, Wenhao Li, Miaoju Ban, Tianyu Guo, Yidi Li:
Feature Completion Transformer for Occluded Person Re-Identification. IEEE Trans. Multim. 26: 8529-8542 (2024) - [j27]Yang Liu, Hong Liu, Huaqiu Wang, Fanyang Meng, Mengyuan Liu:
BCAN: Bidirectional Correct Attention Network for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14247-14258 (2024) - [c72]Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang:
Expressive Forecasting of 3D Whole-Body Human Motions. AAAI 2024: 1537-1545 - [c71]Xinshun Wang, Qiongjie Cui, Chen Chen, Mengyuan Liu:
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction. AAAI 2024: 5642-5650 - [c70]Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning. ACCV (7) 2024: 56-75 - [c69]Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe:
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. CVPR 2024: 604-613 - [c68]Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu:
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning. CVPR 2024: 2436-2446 - [c67]Xuan Wang, Mengyuan Liu:
Eye Motion Matters for 3D Face Reconstruction. ICASSP 2024: 3835-3839 - [c66]Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe:
Denoising Diffusion Probabilistic Models for Action-Conditioned 3D Motion Generation. ICASSP 2024: 4225-4229 - [c65]Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang:
Diffusion-Based Pose Refinement and Multi-Hypothesis Generation for 3D Human Pose Estimation. ICASSP 2024: 5130-5134 - [c64]Yue Li, Baiqiao Yin, Jinfu Liu, Jiajun Wen, Jiaying Lin, Mengyuan Liu:
SEMIPL: A Semi-Supervised Method for Event Sound Source Localization. ICME Workshops 2024: 1-6 - [c63]Jiaying Lin, Jiajun Wen, Mengyuan Liu, L. Yue, Jinfu Liu, Baiqiao Yin:
SFMVIT: Slowfast Meet VIT in Chaotic World. ICME Workshops 2024: 1-6 - [c62]Jinfu Liu, Baiqiao Yin, Jiaying Lin, Jiajun Wen, Yue Li, Mengyuan Liu:
HDBN: A Novel Hybrid Dual-Branch Network for Robust Skeleton-Based Action Recognition. ICME Workshops 2024: 1-6 - [c61]Zixuan Tang, Youjun Zhao, Yuhang Wen, Mengyuan Liu:
A Survey on Backbones for Deep Video Action Recognition. ICME Workshops 2024: 1-6 - [c60]Yongxin Li, Mengyuan Liu, You Wu, Xucheng Wang, Xiangyang Yang, Shuiwang Li:
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking. ICML 2024 - [c59]Zhichao Deng, Xiangtai Li, Xia Li, Yunhai Tong, Shen Zhao, Mengyuan Liu:
VG4D: Vision-Language Model Goes 4D Video Recognition. ICRA 2024: 5014-5020 - [c58]Peiming Li, Ziyi Wang, Mengyuan Liu, Hong Liu, Chen Chen:
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models. ACM Multimedia 2024: 273-281 - [c57]Jinyan Zhang, Mengyuan Liu, Hong Liu, Guoquan Wang, Wenhao Li:
APP: Adaptive Pose Pooling for 3D Human Pose Estimation from Videos. ACM Multimedia 2024: 1672-1681 - [c56]Jinfu Liu, Chen Chen, Mengyuan Liu:
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition. ACM Multimedia 2024: 4909-4918 - [c55]Wenshuo Chen, Hongru Xiao, Erhang Zhang, Lijie Hu, Lei Wang, Mengyuan Liu, Chen Chen:
SATO: Stable Text-to-Motion Framework. ACM Multimedia 2024: 6989-6997 - [c54]Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding:
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition. NeurIPS 2024 - [c53]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. NeurIPS 2024 - [i57]Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge:
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR abs/2401.02038 (2024) - [i56]Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Shen Zhao, Mengyuan Liu:
Explore Human Parsing Modality for Action Recognition. CoRR abs/2401.02138 (2024) - [i55]Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Xinlin Yuan, Wenming Yang:
Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton. CoRR abs/2401.04921 (2024) - [i54]Zhongbin Fang, Xia Li, Xiangtai Li, Shen Zhao, Mengyuan Liu:
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification. CoRR abs/2401.08210 (2024) - [i53]Xuan Wang, Mengyuan Liu:
Eye Motion Matters for 3D Face Reconstruction. CoRR abs/2401.09677 (2024) - [i52]Ti Wang, Mengyuan Liu, Hong Liu, Bin Ren, Yingxuan You, Wenhao Li, Nicu Sebe, Xia Li:
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation. CoRR abs/2402.02339 (2024) - [i51]Mengyuan Liu, Chen Chen, Songtao Wu, Fanyang Meng, Hong Liu:
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition. CoRR abs/2402.02431 (2024) - [i50]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024) - [i49]Peini Guo, Mengyuan Liu, Hong Liu, Ruijia Fan, Guoquan Wang, Bin He:
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification. CoRR abs/2403.08270 (2024) - [i48]Zhichao Deng, Xiangtai Li, Xia Li, Yunhai Tong, Shen Zhao, Mengyuan Liu:
VG4D: Vision-Language Model Goes 4D Video Recognition. CoRR abs/2404.11605 (2024) - [i47]Mengyuan Liu, Zhongbin Fang, Xia Li, Joachim M. Buhmann, Xiangtai Li, Chen Change Loy:
Point-In-Context: Understanding Point Cloud via In-Context Learning. CoRR abs/2404.12352 (2024) - [i46]Sheng Yan, Mengyuan Liu, Yong Wang, Yang Liu, Chen Chen, Hong Liu:
MLP: Motion Label Prior for Temporal Sentence Localization in Untrimmed 3D Human Motions. CoRR abs/2404.13657 (2024) - [i45]Jinfu Liu, Baiqiao Yin, Jiaying Lin, Jiajun Wen, Yue Li, Mengyuan Liu:
HDBN: A Novel Hybrid Dual-branch Network for Robust Skeleton-based Action Recognition. CoRR abs/2404.15719 (2024) - [i44]Jiaying Lin, Jiajun Wen, Mengyuan Liu, Jinfu Liu, Baiqiao Yin, Yue Li:
SFMViT: SlowFast Meet ViT in Chaotic World. CoRR abs/2404.16609 (2024) - [i43]Yue Li, Baiqiao Yin, Jinfu Liu, Jiajun Wen, Jiaying Lin, Mengyuan Liu:
SemiPL: A Semi-supervised Method for Event Sound Source Localization. CoRR abs/2404.19615 (2024) - [i42]Wenshuo Chen, Hongru Xiao, Erhang Zhang, Lijie Hu, Lei Wang, Mengyuan Liu, Chen Chen:
SATO: Stable Text-to-Motion Framework. CoRR abs/2405.01461 (2024) - [i41]Sheng Yan, Xin Du, Zongying Li, Yi Wang, Hongcang Jin, Mengyuan Liu:
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training. CoRR abs/2405.05523 (2024) - [i40]Zixuan Tang, Youjun Zhao, Yuhang Wen, Mengyuan Liu:
A Survey on Backbones for Deep Video Action Recognition. CoRR abs/2405.05584 (2024) - [i39]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024) - [i38]Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning. CoRR abs/2407.05862 (2024) - [i37]Jinfu Liu, Chen Chen, Mengyuan Liu:
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition. CoRR abs/2407.15706 (2024) - [i36]Peiming Li, Ziyi Wang, Mengyuan Liu, Hong Liu, Chen Chen:
ClickDiff: Click to Induce Semantic Contact Map for Controllable Grasp Generation with Diffusion Models. CoRR abs/2407.19370 (2024) - [i35]Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - [i34]Renliang Sun, Mengyuan Liu, Shiping Yang, Rui Wang, Junqing He, Jiaxing Zhang:
Fostering Natural Conversation in Large Language Models with NICO: a Natural Interactive COnversation dataset. CoRR abs/2408.09330 (2024) - [i33]Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding:
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition. CoRR abs/2410.07153 (2024) - [i32]Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini:
Hierarchical Information Flow for Generalized Efficient Image Restoration. CoRR abs/2411.18588 (2024) - [i31]Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu:
FlexPose: Pose Distribution Adaptation with Limited Guidance. CoRR abs/2412.13463 (2024) - [i30]You Wu, Yongxin Li, Mengyuan Liu, Xucheng Wang, Xiangyang Yang, Hengzhou Ye, Dan Zeng, Qijun Zhao, Shuiwang Li:
Learning Adaptive and View-Invariant Vision Transformer with Multi-Teacher Knowledge Distillation for Real-Time UAV Tracking. CoRR abs/2412.20002 (2024) - 2023
- [j26]Wei Liu, Mengyuan Liu, Bao Jin, Yixin Zhu, Qi Gao, Jiayang Sun:
Bidirectional Model-Based Policy Optimization Based on Adaptive Gaussian Noise and Improved Confidence Weights. IEEE Access 11: 90254-90268 (2023) - [j25]Hui Hu, Chaofeng Chen, Mengyuan Liu, Yihan Fu, Jiao Zhao, Zhiyu Feng:
Corrigendum to "Two-Stage emergency material scheduling based on benders decomposition considering traffic congestion after a disaster" [Comput. Ind. Eng. 174 (2022) 108571]. Comput. Ind. Eng. 179: 109204 (2023) - [j24]Wenju Du, Nini Rao, Jiahao Yong, Prince Ebenezer Adjei, Xiaoming Hu, Xiaotong Wang, Tao Gan, Linlin Zhu, Bing Zeng, Mengyuan Liu, Yongxue Xu:
Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet. Comput. Methods Programs Biomed. 231: 107397 (2023) - [j23]Ying Liu, Mengyuan Liu, Junhui Xing, Yixin Ye:
Dual-Parameter Simultaneous Full Waveform Inversion of Ground-Penetrating Radar for Arctic Sea Ice. Remote. Sens. 15(14): 3614 (2023) - [j22]Xiaohong Yang, Weijun Sun, Jiake Wu, Jiahang Che, Mengyuan Liu, Qinglin Zhang, Yingshan Wang, Baojuan Huai, Yuzhe Wang, Lei Wang:
Evaluation and Projection of Precipitation in CMIP6 Models over the Qilian Mountains, China. Remote. Sens. 15(17): 4350 (2023) - [j21]Mengyuan Liu, Shouxian Zhu, Shanling Cheng, Wenjing Zhang, Guangsong Cao:
Nearshore Depth Estimation Using Fine-Resolution Remote Sensing of Ocean Surface Waves. Sensors 23(23): 9316 (2023) - [j20]Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang, Wenming Yang:
Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation. IEEE Trans. Multim. 25: 1282-1293 (2023) - [c52]Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition. AAAI 2023: 1701-1709 - [c51]Chang Liu, Mengyi Zhao, Bin Ren, Mengyuan Liu, Nicu Sebe:
Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation. BMVC 2023: 722-729 - [c50]Runwei Ding, Yuhang Wen, Jinfu Liu, Nan Dai, Fanyang Meng, Mengyuan Liu:
Integrating Human Parsing and Pose Network for Human Action Recognition. CICAI (1) 2023: 182-194 - [c49]Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen:
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation. CVPR 2023: 8877-8886 - [c48]Qianshuo Hu, Hong Liu, Huaqiu Wang, Mengyuan Liu:
Body Prior Guided Graph Convolutional Neural Network for Skeleton-Based Action Recognition. ICASSP 2023: 1-5 - [c47]Baichuan Zhang, Fanyang Meng, Runwei Ding, Mengyuan Liu:
Multi-Stream Facial Adaptive Network for Expression Recognition from a Single Image. ICASSP 2023: 1-5 - [c46]Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Liefeng Bo, Mengyuan Liu, Chen Chen:
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation. ICCV 2023: 20338-20348 - [c45]Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu:
Part Aware Contrastive Learning for Self-Supervised Action Recognition. IJCAI 2023: 855-863 - [c44]Yuhang Wen, Zixuan Tang, Yunsheng Pang, Beichen Ding, Mengyuan Liu:
Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition. IROS 2023: 7886-7892 - [c43]Yang Liu, Chen Chen, Can Wang, Xulin King, Mengyuan Liu:
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning. ACM Multimedia 2023: 1738-1749 - [c42]Wanying Zhang, Shen Zhao, Fanyang Meng, Songtao Wu, Mengyuan Liu:
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction. ACM Multimedia 2023: 2856-2864 - [c41]Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu:
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction. MMAsia 2023: 15:1-15:8 - [c40]Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu:
Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction. MMAsia 2023: 17:1-17:7 - [c39]Sheng Yan, Yang Liu, Haoqiang Wang, Xin Du, Mengyuan Liu, Hong Liu:
Cross-Modal Retrieval for Motion and Text via DropTriple Loss. MMAsia 2023: 83:1-83:7 - [c38]Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu:
Explore In-Context Learning for 3D Point Cloud Understanding. NeurIPS 2023 - [c37]Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen:
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation. NeurIPS 2023 - [i29]Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe:
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models. CoRR abs/2301.03949 (2023) - [i28]Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen:
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation. CoRR abs/2303.17472 (2023) - [i27]Xinshun Wang, Shen Zhao, Chen Chen, Mengyuan Liu:
A Mixer Layer is Worth One Graph Convolution: Unifying MLP-Mixers and GCNs for Human Motion Prediction. CoRR abs/2304.03532 (2023) - [i26]Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu:
Part Aware Contrastive Learning for Self-Supervised Action Recognition. CoRR abs/2305.00666 (2023) - [i25]Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M. Buhmann, Chen Change Loy, Mengyuan Liu:
Explore In-Context Learning for 3D Point Cloud Understanding. CoRR abs/2306.08659 (2023) - [i24]Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu:
A Gated Cross-domain Collaborative Network for Underwater Object Detection. CoRR abs/2306.14141 (2023) - [i23]Yuhang Wen, Zixuan Tang, Yunsheng Pang, Beichen Ding, Mengyuan Liu:
Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition. CoRR abs/2307.07469 (2023) - [i22]Tianyu Guo, Mengyuan Liu, Hong Liu, Wenhao Li, Jingwen Guo, Tao Wang, Yidi Li:
Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition. CoRR abs/2307.07791 (2023) - [i21]Runwei Ding, Yuhang Wen, Jinfu Liu, Nan Dai, Fanyang Meng, Mengyuan Liu:
Integrating Human Parsing and Pose Network for Human Action Recognition. CoRR abs/2307.07977 (2023) - [i20]Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu:
Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction. CoRR abs/2307.14006 (2023) - [i19]Yi Zhang, Youjun Zhao, Yuhang Wen, Zixuan Tang, Xinhua Xu, Mengyuan Liu:
Facial Prior Based First Order Motion Model for Micro-expression Generation. CoRR abs/2308.04536 (2023) - [i18]Hongbo Kang, Yong Wang, Mengyuan Liu, Doudou Wu, Peng Liu, Wenming Yang:
Double-chain Constraints for 3D Human Pose Estimation in Images and Videos. CoRR abs/2308.05298 (2023) - [i17]Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Mengyuan Liu, Chen Chen:
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation. CoRR abs/2309.09301 (2023) - [i16]Yang Liu, Chen Chen, Can Wang, Xulin King, Mengyuan Liu:
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning. CoRR abs/2310.03670 (2023) - [i15]Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen:
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation. CoRR abs/2311.03312 (2023) - [i14]Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Jialun Cai, Nicu Sebe:
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation. CoRR abs/2311.12028 (2023) - [i13]Wanying Zhang, Shen Zhao, Fanyang Meng, Songtao Wu, Mengyuan Liu:
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction. CoRR abs/2311.13781 (2023) - [i12]Xinshun Wang, Wanying Zhang, Can Wang, Yuan Gao, Mengyuan Liu:
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction. CoRR abs/2311.17408 (2023) - [i11]Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu:
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning. CoRR abs/2312.03703 (2023) - [i10]Xinshun Wang, Qiongjie Cui, Chen Chen, Mengyuan Liu:
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction. CoRR abs/2312.11850 (2023) - [i9]Pengxiang Ding, Qiongjie Cui, Min Zhang, Mengyuan Liu, Haofan Wang, Donglin Wang:
Expressive Forecasting of 3D Whole-body Human Motions. CoRR abs/2312.11972 (2023) - 2022
- [j19]Xuan Wang, Minghong Zhong, Hoiyuen Cheng, Junjie Xie, Yingchu Zhou, Jun Ren, Mengyuan Liu:
SpikeGoogle: Spiking Neural Networks with GoogLeNet-like inception module. CAAI Trans. Intell. Technol. 7(3): 492-502 (2022) - [j18]Hui Hu, Chaofeng Chen, Mengyuan Liu, Yihan Fu, Jiao Zhao, Zhiyu Feng:
Two-Stage emergency material scheduling based on benders decomposition considering traffic congestion after a disaster. Comput. Ind. Eng. 174: 108751 (2022) - [j17]Mengyuan Liu, Weikuan Jia, Zhifen Wang, Yi Niu, Xinbo Yang, Chengzhi Ruan:
An accurate detection and segmentation model of obscured green fruits. Comput. Electron. Agric. 197: 106984 (2022) - [j16]Wei Shi, Hong Liu, Mengyuan Liu:
IRANet: Identity-relevance aware representation for cloth-changing person re-identification. Image Vis. Comput. 117: 104335 (2022) - [j15]Wei Shi, Hong Liu, Mengyuan Liu:
Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning. Pattern Recognit. 122: 108314 (2022) - [j14]Mengyuan Liu, Youneng Bao, Yongsheng Liang, Fanyang Meng:
Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning. IEEE Signal Process. Lett. 29: 632-636 (2022) - [j13]Yang Liu, Hong Liu, Huaqiu Wang, Mengyuan Liu:
Regularizing Visual Semantic Embedding With Contrastive Learning for Image-Text Matching. IEEE Signal Process. Lett. 29: 1332-1336 (2022) - [c36]Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding:
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition. AAAI 2022: 762-770 - [c35]Mengyuan Liu, Yuelong Wang, Qiangyu Sun, Shuiwang Li:
Global Filter Pruning with Self-Attention for Real-Time UAV Tracking. BMVC 2022: 861 - 2021
- [c34]Yang Liu, Huaqiu Wang, Fanyang Meng, Mengyuan Liu, Hong Liu:
Attend, Correct And Focus: A Bidirectional Correct Attention Network For Image-Text Matching. ICIP 2021: 2673-2677 - [c33]Honggang Wang, Mengyuan Liu, Junying Jia, Ruoyu Pan:
Research and Implementation of the Method of Perceiving Distance between UHF Band Passive RFID and Tag Groups Indoors. ISKE 2021: 439-443 - [c32]Yi Zhang, Youjun Zhao, Yuhang Wen, Zixuan Tang, Xinhua Xu, Mengyuan Liu:
Facial Prior Based First Order Motion Model for Micro-expression Generation. ACM Multimedia 2021: 4755-4759 - [i8]Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen, Mengyuan Liu:
Consistency-based Active Learning for Object Detection. CoRR abs/2103.10374 (2021) - [i7]Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang:
Lifting Transformer for 3D Human Pose Estimation in Video. CoRR abs/2103.14304 (2021) - [i6]Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding:
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition. CoRR abs/2112.03590 (2021) - 2020
- [j12]Wei Shi, Hong Liu, Mengyuan Liu:
Identity-sensitive loss guided and instance feature boosted deep embedding for person search. Neurocomputing 415: 1-14 (2020) - [c31]Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju:
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices. CVPR Workshops 2020: 2997-3007 - [c30]Hong Liu, Linlin Zhang, Lisi Guan, Mengyuan Liu:
GFNet: A Lightweight Group Frame Network for Efficient Human Action Recognition. ICASSP 2020: 2583-2587 - [c29]Hong Liu, Bin Ren, Mengyuan Liu, Runwei Ding:
Grouped Temporal Enhancement Module for Human Action Recognition. ICIP 2020: 1801-1805 - [i5]Bin Ren, Mengyuan Liu, Runwei Ding, Hong Liu:
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method. CoRR abs/2002.05907 (2020)
2010 – 2019
- 2019
- [j11]Runwei Ding, Qinqin He, Hong Liu, Mengyuan Liu:
Combining Adaptive Hierarchical Depth Motion Maps With Skeletal Joints for Human Action Recognition. IEEE Access 7: 5597-5608 (2019) - [j10]Fanyang Meng, Hong Liu, Yongsheng Liang, Juanhui Tu, Mengyuan Liu:
Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition. IEEE Trans. Image Process. 28(11): 5281-5295 (2019) - [c28]Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos. AAAI 2019: 8762-8769 - [c27]Mengyuan Liu, Jian Yang:
Design and Implementation of Burmese Speech Synthesis System Based on HMM-DNN. IALP 2019: 79-83 - [c26]Hong Liu, Hanrong Ye, Xia Li, Wei Shi, Mengyuan Liu, Qianru Sun:
Self-Refining Deep Symmetry Enhanced Network for Rain Removal. ICIP 2019: 2786-2790 - [c25]Renyuan Liu, Jian Yang, Mengyuan Liu:
A New End-to-End Long-Time Speech Synthesis System Based on Tacotron2. SSPS 2019: 46-50 - [i4]Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju:
RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices. CoRR abs/1911.08855 (2019) - [i3]Songtao Wu, Sheng-hua Zhong, Yan Liu, Mengyuan Liu:
CIS-Net: A Novel CNN Model for Spatial Image Steganalysis via Cover Image Suppression. CoRR abs/1912.06540 (2019) - 2018
- [j9]Mengyuan Liu, Hong Liu, Chen Chen:
3D Action Recognition Using Multiscale Energy-Based Global Ternary Image. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1824-1838 (2018) - [j8]Mengyuan Liu, Hong Liu, Chen Chen:
Robust 3D Action Recognition Through Sampling Local Appearances and Global Distributions. IEEE Trans. Multim. 20(8): 1932-1947 (2018) - [c24]Mengyuan Liu, Junsong Yuan:
Recognizing Human Actions as the Evolution of Pose Estimation Maps. CVPR 2018: 1159-1168 - [c23]Junwu Weng, Mengyuan Liu, Xudong Jiang, Junsong Yuan:
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition. ECCV (7) 2018: 142-157 - [c22]Hong Liu, Juanhui Tu, Mengyuan Liu, Runwei Ding:
Learning Explicit Shape and Motion Evolution Maps for Skeleton-Based Human Action Recognition. ICASSP 2018: 1333-1337 - [c21]Mengyuan Liu, Yibo Huan, Qixun Zhang, Wei Lu, Wei Li, T. Aaron Gulliver:
Multiple Attribute Handover in 5G HetNets Based on an Intuitionistic Trapezoidal Fuzzy Algorithm. ICCC Workshops 2018: 261-266 - [c20]Juanhui Tu, Hong Liu, Fanyang Meng, Mengyuan Liu, Runwei Ding:
Spatial-Temporal Data Augmentation Based on LSTM Autoencoder Network for Skeleton-Based Human Action Recognition. ICIP 2018: 3478-3482 - [c19]Fanyang Meng, Hong Liu, Yongsheng Liang, Mengyuan Liu, Wei Liu:
Hierarchical Dropped Convolutional Neural Network for Speed Insensitive Human Action Recognition. ICME 2018: 1-6 - [c18]Juanhui Tu, Mengyuan Liu, Hong Liu:
Skeleton-Based Human Action Recognition Using Spatial Temporal 3D Convolutional Neural Networks. ICME 2018: 1-6 - 2017
- [j7]Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasser Kehtarnavaz:
Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition. IEEE Access 5: 22590-22604 (2017) - [j6]Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang:
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features. Multim. Tools Appl. 76(3): 4651-4669 (2017) - [j5]Mengyuan Liu, Hong Liu, Chen Chen:
Enhanced skeleton visualization for view invariant human action recognition. Pattern Recognit. 68: 346-362 (2017) - [c17]Fenglin Dai, Qixun Zhang, Yuhang Sun, Mengyuan Liu:
LTE-WLAN Integrated Virtualization Network Architecture. 5GWN 2017: 517-528 - [c16]Hong Liu, Qinqin He, Mengyuan Liu:
Human action recognition using Adaptive Hierarchical Depth Motion Maps and Gabor filter. ICASSP 2017: 1432-1436 - [c15]Mengyuan Liu, Qinqin He, Hong Liu:
Fusing shape and motion matrices for view invariant action recognition using 3D skeletons. ICIP 2017: 3670-3674 - [c14]Mengyuan Liu, Chen Chen, Fanyang Meng, Hong Liu:
3D action recognition using multi-temporal skeleton visualization. ICME Workshops 2017: 623-626 - [c13]Mengyuan Liu, Chen Chen, Hong Liu:
Time-ordered spatial-temporal interest points for human action classification. ICME 2017: 655-660 - [c12]Mengyuan Liu, Chen Chen, Hong Liu:
Learning informative pairwise joints with energy-based temporal pyramid for 3D action recognition. ICME 2017: 901-906 - [c11]Mengyuan Liu, Chen Chen, Hong Liu:
3D action recognition using data visualization and convolutional neural networks. ICME 2017: 925-930 - [c10]Mengyuan Liu, Steven P. Miller, Vann Chau, Colin Studholme:
Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI. MICCAI (1) 2017: 789-797 - [i2]Hong Liu, Juanhui Tu, Mengyuan Liu:
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition. CoRR abs/1705.08106 (2017) - [i1]Mengyuan Liu, Hong Liu, Chen Chen:
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions. CoRR abs/1712.01090 (2017) - 2016
- [j4]Mengyuan Liu, Hong Liu, Qianru Sun, Tianwei Zhang, Runwei Ding:
Salient pairwise spatio-temporal interest points for real-time activity recognition. CAAI Trans. Intell. Technol. 1(1): 14-29 (2016) - [j3]Mengyuan Liu, Hong Liu:
Depth Context: a new descriptor for human activity recognition by using sole depth sequences. Neurocomputing 175: 747-758 (2016) - [j2]Qianru Sun, Hong Liu, Mengyuan Liu, Tianwei Zhang:
Human activity prediction by mapping grouplets to recurrent Self-Organizing Map. Neurocomputing 177: 427-440 (2016) - [j1]Mengyuan Liu, Averi Kitsch, Steven P. Miller, Vann Chau, Kenneth J. Poskitt, François Rousseau, Dennis Shaw, Colin Studholme:
Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birth. NeuroImage 127: 387-408 (2016) - [c9]Mengyuan Liu, Hong Liu, Chen Chen, Maryam Najafian:
Energy-Based Global Ternary Image for Action Recognition Using Sole Depth Sequences. 3DV 2016: 47-55 - [c8]Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu:
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector. IJCAI 2016: 3331-3337 - [c7]Xue Wang, Hong Liu, Mengyuan Liu:
A novel multi-cue integration system for efficient human fall detection. ROBIO 2016: 1319-1324 - 2015
- [c6]Ningxuan He, Mengyuan Liu, Fang Zhao:
A Chinese dishes recommendation algorithm based on personal taste. CYBCONF 2015: 277-280 - [c5]Hong Liu, Lu Tian, Mengyuan Liu, Hao Tang:
SDM-BSM: A fusing depth scheme for human action recognition. ICIP 2015: 4674-4678 - 2014
- [c4]Hong Liu, Mengyuan Liu, Qianru Sun:
Learning directional co-occurrence for human action classification. ICASSP 2014: 1235-1239 - [c3]Mengyuan Liu, Hong Liu, Qianru Sun:
Action classification by exploring directional co-occurrence of weighted stips. ICIP 2014: 1460-1464 - [c2]Mengyuan Liu, Sharmishtaa Seshamani, Lisa Harrylock, Averi Kitsch, Steven P. Miller, Vann Chau, Kenneth J. Poskitt, François Rousseau, Colin Studholme:
Spatially adapted augmentation of age-specific atlas-based segmentation using patch-based priors. Image Processing 2014: 90341H - 2013
- [c1]Baolong Zhao, Zehui Li, Mengyuan Liu, Wen Cao, Hong Liu:
Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems. ROBIO 2013: 1083-1088
Coauthor Index
[j45] [j44] [i59] [j39] [j38] [j37] [j34] [j33] [j29] [j28] [j27] [c69] [c58] [c57] [i51] [i49] [i46] [i36] [j20] [c48] [c39] [i24] [i22] [j16] [j15] [j13] [c36] [c34] [i7] [i6] [j12] [c30] [c29] [i5] [j11] [j10] [c26] [j9] [j8] [c22] [c20] [c19] [c18] [j7] [j5] [c16] [c15] [c14] [c13] [c12] [c11] [i2] [i1] [j4] [j3] [j2] [c9] [c8] [c7] [c5] [c4] [c3] [c1]
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