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ORCIDMengyuan Liu 0001
Person information
- affiliation: Tencent, Shenzhen, China
Other persons with the same name
- Mengyuan Liu — disambiguation page
- Mengyuan Liu 0002
![[0009-0005-2114-3371]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0005-2114-3371")
— Northeastern University, Boston, MA, USA - Mengyuan Liu 0003 — Liaoning Technical University, Fuxin, Liaoning, China
- Mengyuan Liu 0004 — Peking University, Shenzhen Graduate School, Shenzhen, China
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2020 – today
- 2025
[j29]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)- [j28]Guoquan Wang, Mengyuan Liu, Hong Liu, Jinyan Zhang, Peini Guo, Ruijia Fan, Siyu Chen:
Frequency-Aware Self-Supervised Group Activity Recognition with skeleton sequences. Pattern Recognit. 167: 111710 (2025) - [j27]Mengyuan Liu, Chen Chen, Songtao Wu, Fanyang Meng, Hong Liu:
Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition. IEEE Trans. Hum. Mach. Syst. 55(2): 134-143 (2025) - [j26]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) - [j25]Jialun Cai, Mengyuan Liu, Hong Liu, Shuheng Zhou, Wenhao Li:
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation. IEEE Trans. Image Process. 34: 6655-6668 (2025) - [i38]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) - [i37]Yawei Li, Bin Ren, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Nicu Sebe, Ming-Hsuan Yang, Luca Benini:
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration. CoRR abs/2503.17825 (2025) - [i36]Bin Ren, Xiaoshui Huang, Mengyuan Liu, Hong Liu, Fabio Poiesi, Nicu Sebe, Guofeng Mei:
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training. CoRR abs/2508.08910 (2025) - [i35]Mengyuan Liu, Xinshun Wang, Zhongbin Fang, Deheng Ye, Xia Li, Tao Tang, Songtao Wu, Xiangtai Li, Ming-Hsuan Yang:
Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning. CoRR abs/2508.10897 (2025) - [i34]Wenhao Li, Mengyuan Liu, Hong Liu, Pichao Wang, Shijian Lu, Nicu Sebe:
H2OT: Hierarchical Hourglass Tokenizer for Efficient Video Pose Transformers. CoRR abs/2509.06956 (2025) - [i33]Mengyuan Liu, Sheng Yan, Yong Wang, Yingjie Li, Gui-Bin Bian, Hong Liu:
MoSa: Motion Generation with Scalable Autoregressive Modeling. CoRR abs/2511.01200 (2025) - 2024
- [j24]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) - [j23]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) - [j22]Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu:
A gated cross-domain collaborative network for underwater object detection. Pattern Recognit. 149: 110222 (2024) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c34]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 - [c33]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 - [c32]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 - [c31]Mengyi Zhao, Mengyuan Liu, Bin Ren, Shuling Dai, Nicu Sebe:
Denoising Diffusion Probabilistic Models for Action-Conditioned 3D Motion Generation. ICASSP 2024: 4225-4229 - [c30]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 - [c29]Zixuan Tang, Youjun Zhao, Yuhang Wen, Mengyuan Liu:
A Survey on Backbones for Deep Video Action Recognition. ICME Workshops 2024: 1-6 - [c28]Zhichao Deng, Xiangtai Li, Xia Li, Yunhai Tong, Shen Zhao, Mengyuan Liu:
VG4D: Vision-Language Model Goes 4D Video Recognition. ICRA 2024: 5014-5020 - [c27]Jinfu Liu, Chen Chen, Mengyuan Liu:
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition. ACM Multimedia 2024: 4909-4918 - [c26]Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding:
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition. NeurIPS 2024 - [c25]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 - [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Zixuan Tang, Youjun Zhao, Yuhang Wen, Mengyuan Liu:
A Survey on Backbones for Deep Video Action Recognition. CoRR abs/2405.05584 (2024) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - 2023
- [j10]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) - [c24]Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu:
Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition. AAAI 2023: 1701-1709 - [c23]Chang Liu, Mengyi Zhao, Bin Ren, Mengyuan Liu, Nicu Sebe:
Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation. BMVC 2023: 722-729 - [c22]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 - [c21]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 - [c20]Baichuan Zhang, Fanyang Meng, Runwei Ding, Mengyuan Liu:
Multi-Stream Facial Adaptive Network for Expression Recognition from a Single Image. ICASSP 2023: 1-5 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen:
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation. NeurIPS 2023 - [i18]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) - [i17]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) - [i16]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) - [i15]Linhui Dai, Hong Liu, Pinhao Song, Mengyuan Liu:
A Gated Cross-domain Collaborative Network for Underwater Object Detection. CoRR abs/2306.14141 (2023) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - 2022
- [j9]Wei Shi, Hong Liu, Mengyuan Liu:
IRANet: Identity-relevance aware representation for cloth-changing person re-identification. Image Vis. Comput. 117: 104335 (2022) - [j8]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) - [j7]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) - [j6]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) - [c11]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 - 2021
- [c10]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 - [c9]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 - [i4]Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang:
Lifting Transformer for 3D Human Pose Estimation in Video. CoRR abs/2103.14304 (2021) - [i3]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
- [j5]Wei Shi, Hong Liu, Mengyuan Liu:
Identity-sensitive loss guided and instance feature boosted deep embedding for person search. Neurocomputing 415: 1-14 (2020) - [c8]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 - [c7]Hong Liu, Bin Ren, Mengyuan Liu, Runwei Ding:
Grouped Temporal Enhancement Module for Human Action Recognition. ICIP 2020: 1801-1805 - [i2]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
- [j4]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) - [c6]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 - [c5]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 - [i1]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) - 2018
- [j3]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) - [j2]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) - [c4]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 - [c3]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 - 2017
- [c2]Mengyuan Liu, Chen Chen, Fanyang Meng, Hong Liu:
3D action recognition using multi-temporal skeleton visualization. ICME Workshops 2017: 623-626 - 2016
- [j1]Mengyuan Liu, Hong Liu:
Depth Context: a new descriptor for human activity recognition by using sole depth sequences. Neurocomputing 175: 747-758 (2016) - 2015
- [c1]Hong Liu, Lu Tian, Mengyuan Liu, Hao Tang:
SDM-BSM: A fusing depth scheme for human action recognition. ICIP 2015: 4674-4678
Coauthor Index
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