17.1.3.4 Human Motion Prediction

Zhou, L.Y.[Liu-Yang], Lu, Z.W.[Zhi-Wu], Leung, H.[Howard], Shang, L.F.[Li-Feng],
Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval,
VC(30), No. 6-8, June 2014, pp. 845-854.
WWW Link. 1407
BibRef

Chao, X.J.[Xian-Jin], Bin, Y.R.[Yan-Rui], Chu, W.Q.[Wen-Qing], Cao, X.[Xuan], Ge, Y.H.[Yan-Hao], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue], Leung, H.[Howard],
Adversarial Refinement Network for Human Motion Prediction,
ACCV20(II:454-469).
Springer DOI 2103
BibRef

Wang, H.S.[Hong-Song], Dong, J.[Jian], Cheng, B.[Bin], Feng, J.S.[Jia-Shi],
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction,
IP(30), 2021, pp. 6096-6106.
IEEE DOI 2107
Hidden Markov models, Quaternions, Predictive models, Decoding, Dynamics, Recurrent neural networks, Human motion prediction, quaternion transformation BibRef

Wang, H.S.[Hong-Song], Wang, L.[Liang], Feng, J.S.[Jia-Shi], Zhou, D.Q.[Da-Quan],
Velocity-to-velocity human motion forecasting,
PR(124), 2022, pp. 108424.
Elsevier DOI 2203
Human motion prediction, Action anticipation BibRef

Men, Q.H.[Qian-Hui], Ho, E.S.L.[Edmond S. L.], Shum, H.P.H.[Hubert P. H.], Leung, H.[Howard],
A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction,
CirSysVideo(31), No. 9, September 2021, pp. 3417-3432.
IEEE DOI 2109
Dynamics, Predictive models, Adaptation models, Hidden Markov models, Computational modeling, bi-directional predictor BibRef

Xu, Q.[Qing], Wu, H.R.[Hao-Ran], Wang, J.Q.[Jian-Qiang], Xiong, H.[Hui], Liu, J.X.[Jin-Xin], Li, K.Q.[Ke-Qiang],
Roadside pedestrian motion prediction using Bayesian methods and particle filter,
IET-ITS(15), No. 9, 2021, pp. 1167-1182.
DOI Link 2108
BibRef

Li, B., Tian, J., Zhang, Z., Feng, H., Li, X.,
Multitask Non-Autoregressive Model for Human Motion Prediction,
IP(30), 2021, pp. 2562-2574.
IEEE DOI 2102
Skeleton, Decoding, Predictive models, Task analysis, Image color analysis, Image coding, Discrete cosine transforms, multitask learning BibRef

Dai, J.[Ju], Li, H.[Hao], Zeng, R.[Rui], Bai, J.X.[Jun-Xuan], Zhou, F.[Feng], Pan, J.J.[Jun-Jun],
KD-Former: Kinematic and dynamic coupled transformer network for 3D human motion prediction,
PR(143), 2023, pp. 109806.
Elsevier DOI 2310
Human motion prediction, Motion kinematics, Motion dynamics, Transformer BibRef

Jin, X.[Xin], Guo, J.[Jia],
Regressive Gaussian Process Latent Variable Model for Few-Frame Human Motion Prediction,
IEICE(E106-D), No. 10, October 2023, pp. 1621-1626.
WWW Link. 2310
BibRef

Chen, H.P.[Hai-Peng], Hu, J.H.[Jia-Hui], Zhang, W.[Wenyin], Su, P.X.[Peng-Xiang],
Spatiotemporal Consistency Learning from Momentum Cues for Human Motion Prediction,
CirSysVideo(33), No. 9, September 2023, pp. 4577-4587.
IEEE DOI 2310
BibRef

Yu, H.[Hua], Fan, X.[Xuanzhe], Hou, Y.Q.[Ya-Qing], Pei, W.B.[Wen-Bin], Ge, H.W.[Hong-Wei], Yang, X.[Xin], Zhou, D.S.[Dong-Sheng], Zhang, Q.[Qiang], Zhang, M.J.[Meng-Jie],
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach,
CirSysVideo(33), No. 10, October 2023, pp. 5707-5720.
IEEE DOI 2310
BibRef

Xing, H.Q.[Hui-Qin], Zhou, Y.C.[Yi-Cong], Yang, J.Y.[Jian-Yu], Xiao, Y.[Yang],
Learning full context feature for human motion prediction,
JVCIR(97), 2023, pp. 103955.
Elsevier DOI 2312
Human motion prediction, Context feature, Motion constraint, Dictionary BibRef

Tang, J.[Jin], Zhang, J.[Jin], Ding, R.[Rui], Gu, B.[Baoxuan], Yin, J.Q.[Jian-Qin],
Collaborative Multi-Dynamic Pattern Modeling for Human Motion Prediction,
CirSysVideo(33), No. 8, August 2023, pp. 3689-3700.
IEEE DOI 2308
Trajectory, Computational modeling, Feature extraction, Dynamics, Integrated circuit modeling, Task analysis, Predictive models, human motion prediction BibRef

Lee, M.L.[Meng-Lun], Liu, W.[Wansong], Behdad, S.[Sara], Liang, X.[Xiao], Zheng, M.H.[Ming-Hui],
Robot-Assisted Disassembly Sequence Planning With Real-Time Human Motion Prediction,
SMCS(53), No. 1, January 2023, pp. 438-450.
IEEE DOI 2301
Task analysis, Robots, Planning, Safety, Costs, Real-time systems, Collaboration, Disassembly sequence planning, receding horizon BibRef

Zhong, J.Q.[Jian-Qi], Cao, W.M.[Wen-Ming],
Geometric algebra-based multiview interaction networks for 3D human motion prediction,
PR(138), 2023, pp. 109427.
Elsevier DOI 2303
Human motion prediction, Geometric algebra, Motion generation BibRef

Chen, Y.[Yang], Liu, H.[Hong], Song, P.[Pinhao], Li, W.H.[Wen-Hao],
Neural ordinary differential equation for irregular human motion prediction,
PRL(178), 2024, pp. 76-83.
Elsevier DOI 2402
Human motion prediction, Neural ordinary differential equation, Irregular time series BibRef

Gao, X.H.[Xue-Hao], Yang, Y.[Yang], Wu, Y.[Yang], Du, S.Y.[Shao-Yi], Qi, G.J.[Guo-Jun],
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction,
IP(33), 2024, pp. 3907-3920.
IEEE DOI 2407
Feature extraction, Task analysis, Context modeling, Trajectory, Proposals, Probabilistic logic, 3D human motion prediction, multi-condition inference BibRef

Yang, S.[Shubo], Li, H.[Haolun], Pun, C.M.[Chi-Man], Du, C.[Chun], Gao, H.[Hao],
Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction,
SPLetters(31), 2024, pp. 1244-1248.
IEEE DOI 2405
Skeleton, Feature extraction, Convolution, Topology, Correlation, Prediction algorithms, Adaptive systems, Adaptive learning, graph convolution BibRef

Du, X.[Xin], Wang, Y.[Yong], Li, Z.Y.[Zong-Ying], Yan, S.[Sheng], Liu, M.Y.[Meng-Yuan],
TFAN: Twin-Flow Axis Normalization for Human Motion Prediction,
SPLetters(31), 2024, pp. 486-490.
IEEE DOI 2402
Bones, Hidden Markov models, Joints, Predictive models, Discrete cosine transforms, Data models, Motion prediction, normalization method BibRef

Deng, T.H.[Teng-Hao], Sun, Y.[Yan],
Recent advances in deterministic human motion prediction: A review,
IVC(143), 2024, pp. 104926.
Elsevier DOI 2403
Survey, Human Motion. Survey, Human motion prediction, Deep learning BibRef

Lovanshi, M.[Mayank], Tiwari, V.[Vivek], Ingle, R.[Rajesh], Jain, S.[Swati],
Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction,
HMS(54), No. 6, December 2024, pp. 788-797.
IEEE DOI 2412
Predictive models, Discrete cosine transforms, Transformers, Skeleton, Feature extraction, Motion capture, temporal transformer (T-Transformer) BibRef

Zhu, L.[Lanyun], Chen, T.R.[Tian-Run], Ji, D.[Deyi], Ye, J.P.[Jie-Ping], Liu, J.[Jun],
Not Every Patch is Needed: Toward a More Efficient and Effective Backbone for Video-Based Person Re-Identification,
IP(34), 2025, pp. 785-800.
IEEE DOI 2502
Feature extraction, Transformers, Computational efficiency, Data mining, Costs, Residual neural networks, Optical flow, efficient network BibRef

Fernando, T.[Tharindu], Gammulle, H.[Harshala], Sridharan, S.[Sridha], Denman, S.[Simon], Fookes, C.[Clinton],
Remembering What is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction,
PAMI(47), No. 3, March 2025, pp. 1941-1957.
IEEE DOI 2502
Feature extraction, Predictive models, Transformers, Training, Adaptation models, Skeleton, Recurrent neural networks, memory stabilisation BibRef

Nguyen, H.[Huy], Nguyen, K.[Kien], Pemasiri, A.[Akila], Sridharan, S.[Sridha], Fookes, C.[Clinton],
Beyond geometry: The power of texture in interpretable 3D person ReID,
CVIU(261), 2025, pp. 104517.
Elsevier DOI 2511
3D person re-identification, Texture UV mapping, 3D explainability BibRef

Ding, R.[Rui], Qu, K.[KeHua], Tang, J.[Jin],
KSOF: Leveraging kinematics and spatio-temporal optimal fusion for human motion prediction,
PR(161), 2025, pp. 111206.
Elsevier DOI Code:
WWW Link. 2502
Human motion prediction, Kinematic constraints, Spatio-temporal optimal fusion BibRef

Lang, L.T.[Lang-Tian], Sun, Y.S.[Yin-Shuo], Ni, B.[Bowen], Zhang, R.N.[Ruo-Nan], An, G.Y.[Gao-Yun],
Human motion prediction model with decoupled behavior and pose,
PRL(189), 2025, pp. 78-84.
Elsevier DOI 2503
Motion prediction, Generative model, Diffusion model, Latent diffusion space BibRef

Yu, H.[Hua], Hou, Y.Q.[Ya-Qing], Pei, W.B.[Wen-Bin], Ong, Y.S.[Yew-Soon], Zhang, Q.[Qiang],
DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction,
MultMed(27), 2025, pp. 1848-1859.
IEEE DOI 2504
Predictive models, Noise reduction, Accuracy, Transformers, Noise, Discrete cosine transforms, Stochastic processes, transformer BibRef

Shen, Z.W.[Zhong-Wei], Wu, X.J.[Xiao-Jun], Li, H.[Hui], Xu, T.Y.[Tian-Yang], Wu, C.[Cong],
I Know How You Move: Explicit Motion Estimation for Human Action Recognition,
MultMed(27), 2025, pp. 1665-1676.
IEEE DOI 2504
Training, Feature extraction, Computational modeling, Spatiotemporal phenomena, Costs, Convolutional neural networks, action recognition BibRef

Delussu, R.[Rita], Putzu, L.[Lorenzo], Boutros, F.[Fadi], Bisogni, C.[Carmen], Damer, N.[Naser], Fumera, G.[Giorgio],
Synthetic data sets for person Re-Identification: A critical analysis,
IVC(163), 2025, pp. 105753.
Elsevier DOI 2511
Person Re-Identification, Generalisation capability, Synthetic training data, Visual variations, Photorealism BibRef

Jiang, Z.[Zihan], Qin, C.X.[Cheng-Xuan], Yang, R.[Rui], Shi, B.[Bingyu], Alsaadi, F.E.[Fuad E.], Wang, Z.D.[Zi-Dong],
Social Entropy Informer: A Multi-Scale Model-Data Dual-Driven Approach for Pedestrian Trajectory Prediction,
ITS(26), No. 10, October 2025, pp. 16438-16453.
IEEE DOI 2511
Pedestrians, Trajectory, Predictive models, Analytical models, Information entropy, Accuracy, Stochastic processes, informer model BibRef

Yu, H.[Hua], Hou, Y.Q.[Ya-Qing], Gui, X.[Xu], Feng, S.S.[Shan-Shan], Zhou, D.S.[Dong-Sheng], Zhang, Q.[Qiang],
A Spatio-Temporal Continuous Network for Stochastic 3D Human Motion Prediction,
CirSysVideo(35), No. 11, November 2025, pp. 11502-11513.
IEEE DOI 2511
Stochastic processes, Dynamics, Generative adversarial networks, Diffusion models, Decoding, Accuracy, Uncertainty, Transforms, smooth human motion sequences BibRef

Zhang, F.[Fuzeng], Firkat, E.[Eksan], Ma, H.B.[Hong-Bing], Zhu, J.H.[Ji-Hong], Zhu, B.[Bin], Hamdulla, A.[Askar],
DARI: Transformer-Based Data Augmentation and Rotation Invariance for UAV Person Re-Identification,
MultMed(27), 2025, pp. 8436-8448.
IEEE DOI 2511
Feature extraction, Autonomous aerial vehicles, Cameras, Data augmentation, Convolution, Transformers, invariant constraints BibRef

Shao, C.L.[Cheng-Long], Si, T.Z.[Tong-Zhen], Yang, X.H.[Xiao-Hui], Yuan, H.[Hui],
Dependability Feature Learning Based on Sample Generation for Unsupervised Text-to-Image Person Re-Identification,
CirSysVideo(36), No. 1, January 2026, pp. 1003-1014.
IEEE DOI Code:
WWW Link. 2602
Pedestrians, Identification of persons, Reliability, Training, Representation learning, Feature extraction, Databases, deep learning BibRef

Lin, Y.[Yi], Xia, W.J.[Wang-Jie], Yu, T.[Ting],
HuMo3D: Intention-Driven Dual-Branch Multimodal Human Motion Prediction in 3D Scenes,
SPLetters(33), 2026, pp. 614-618.
IEEE DOI 2602
Trajectory, Dynamics, Pose estimation, Forecasting, Semantics, Standards, Vehicle dynamics, Predictive models, Accuracy, human gaze BibRef

Deng, H.[Hao], Li, J.[Jinkai], Li, J.X.[Jin-Xing], Wen, J.[Jie], Xu, Y.[Yong],
IMPRESS: Incomplete Human Motion Prediction via Motion Recovery and Structural-Semantic Fusion,
IP(35), 2026, pp. 2393-2406.
IEEE DOI 2603
Semantics, Wavelet transforms, Joints, Dynamics, Accuracy, Discrete cosine transforms, Torso, Robustness, feature fusion BibRef

Tang, J.W.[Jian-Wei], Hu, J.F.[Jian-Fang], Liang, T.M.[Tian-Ming], Lin, X.T.[Xiao-Tong], Sun, J.X.[Jiang-Xin], Zheng, W.S.[Wei-Shi], Lai, J.H.[Jian-Huang],
Human Motion Prediction via Continual Prior Compensation,
PAMI(48), No. 5, May 2026, pp. 5131-5146.
IEEE DOI 2604
Training, Predictive models, Loss measurement, Transformers, Random variables, Optimization, Mathematical models, Upper bound, continual prior compensation BibRef

Chen, H.C.[Hao-Chong], Zhao, Z.J.[Zhen-Jie], Wang, R.[Runhua], Yu, H.[Hang], He, C.[Cheng], Zhang, X.[Xuebo],
SMRNet: Stacked motion residual learning with spatiotemporal modeling in diffusion models for human motion prediction,
PR(177), 2026, pp. 113281.
Elsevier DOI 2605
Human motion prediction, Diffusion model, Spatiotemporal modeling BibRef

Wu, Y.H.[Ying-Hao], Guo, S.H.[Shi-Hui], Qin, Y.P.[Yi-Peng],
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis,
CVPR25(27771-27781)
IEEE DOI 2508
Systematics, Measurement units, Pose estimation, Inertial navigation, Semisupervised learning, Data augmentation, Motion analysis BibRef

Liu, X.P.[Xin-Peng], Liang, J.[Junxuan], Zhang, C.[Chenshuo], Cai, Z.X.[Zi-Xuan], Lu, C.[Cewu], Li, Y.L.[Yong-Lu],
Homogeneous Dynamics Space for Heterogeneous Humans,
CVPR25(27782-27793)
IEEE DOI Code:
WWW Link. 2508
Training, Biomechanics, Dynamics, Kinematics, Reinforcement learning, Production, human motion analysis, inverse dynamics, human motion understanding BibRef

Zhang, Y.H.[Yu-Hong], Wu, G.[Guanlin], Chen, L.H.[Ling-Hao], Zhao, Z.[Zhuokai], Lin, J.[Jing], Jiang, X.[Xiaoke], Wu, J.[Jiamin], Li, Z.[Zhuoheng], Yang, H.F.[Hao Frank], Wang, H.Q.[Hao-Qian], Zhang, L.[Lei],
HumanMM: Global Human Motion Recovery from Multi-shot Videos,
CVPR25(1973-1983)
IEEE DOI 2508
Accuracy, Pose estimation, Dynamics, Detectors, Cameras, Robustness, Trajectory, Videos, human motion, motion capture BibRef

Jiang, J.Y.[Jia-Yu], Ding, C.X.[Chang-Xing], Tan, W.T.[Wen-Tao], Wang, J.[Junhong], Tao, J.[Jin], Xu, X.M.[Xiang-Min],
Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification,
CVPR25(9220-9230)
IEEE DOI Code:
WWW Link. 2508
Pedestrians, Costs, Databases, Computational modeling, Large language models, Text to image, Prototypes, Identification of persons BibRef

Yu, T.[Ting], Lin, Y.[Yi], Yu, J.[Jun], Lou, Z.Y.[Zhen-Yu], Cui, Q.J.[Qiong-Jie],
Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes,
CVPR25(12335-12346)
IEEE DOI 2508
Measurement, Solid modeling, Visualization, Accuracy, Affordances, Semantics, Predictive models, Trajectory BibRef

Sun, X.N.[Xiao-Ning], Wei, D.[Dong], Sun, H.[Huaijiang], Hu, S.X.[Sheng-Xiang],
LAL: Enhancing 3D Human Motion Prediction with Latency-aware Auxiliary Learning,
CVPR25(7105-7114)
IEEE DOI 2508
Accuracy, Delay effects, Computational modeling, Predictive models, Data processing, Planning, Testing, human motion prediction, response latency BibRef

Tang, J.W.[Jian-Wei], Yang, H.[Hong], Chen, T.Y.[Teng-Yue], Hu, J.F.[Jian-Fang],
Stochastic Human Motion Prediction with Memory of Action Transition and Action Characteristic,
CVPR25(1883-1893)
IEEE DOI Code:
WWW Link. 2508
Adaptation models, Codes, Computational modeling, Stochastic processes, Boosting, human motion prediction, soft-transition action bank BibRef

Curreli, C.[Cecilia], Muhle, D.[Dominik], Saroha, A.[Abhishek], Ye, Z.Z.[Zhen-Zhang], Marin, R.[Riccardo], Cremers, D.[Daniel],
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction,
CVPR25(1871-1882)
IEEE DOI 2508
Measurement, Training, Limbs, Stochastic processes, Kinematics, Diffusion models, Probabilistic logic, Skeleton, 3d human motion prediction BibRef

Guo, J.Q.[Jia-Qi], Reibman, A.R.[Amy R.], Delp, E.J.[Edward J.],
Illumination Correction for Unsupervised Person Re-Identification,
Southwest24(105-108)
IEEE DOI 2503
Training, Adaptation models, Image analysis, Surveillance, Neural networks, Lighting, Benchmark testing, Person Re-ID, synthetic Agumentation BibRef

Guo, J.Q.[Jia-Qi], Reibman, A.R.[Amy R.], Delp, E.J.[Edward J.],
Uli-Ri: A Benchmark for Person Re-Identification With Quantitative Annotations,
Southwest24(109-112)
IEEE DOI 2503
Image analysis, Annotations, Surveillance, Neural networks, Lighting, Benchmark testing, Cameras, Person Re-ID, Synthetic Augmentation, Annotated Dataset BibRef

Li, J.F.[Jie-Feng], Yuan, Y.[Ye], Rempe, D.[Davis], Zhang, H.T.[Hao-Tian], Molchanov, P.[Pavlo], Lu, C.[Cewu], Kautz, J.[Jan], Iqbal, U.[Umar],
Coin: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation,
ECCV24(XVI: 426-446).
Springer DOI 2412
human motion from moving cameras. BibRef

Kim, S.[Sanghwan], Huang, D.[Daoji], Xian, Y.Q.[Yong-Qin], Hilliges, O.[Otmar], Van Gool, L.J.[Luc J.], Wang, X.[Xi],
PALM: Predicting Actions through Language Models,
ECCV24(LXXXII: 140-158).
Springer DOI 2412
BibRef

Cheng, K.[Keyang], Zou, W.X.[Wen-Xuan], Gu, H.J.[Hong-Jian], Ouyang, A.[Anxiang],
BAMG: Text-based Person Re-identification via Bottlenecks Attention and Masked Graph Modeling,
ACCV24(VIII: 384-401).
Springer DOI 2412
BibRef

Cui, Q.J.[Qiong-Jie], Sun, H.J.[Huai-Jiang], Li, W.Q.[Wei-Qing], Lu, J.F.[Jian-Feng], Li, B.[Bin],
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework,
ECCV24(XXXI: 435-453).
Springer DOI 2412
BibRef

Xing, C.Y.[Chao-Yue], Mao, W.[Wei], Liu, M.M.[Miao-Miao],
Scene-aware Human Motion Forecasting via Mutual Distance Prediction,
ECCV24(XXXIX: 128-144).
Springer DOI 2412
BibRef

Wei, D.[Dong], Sun, X.N.[Xiao-Ning], Gao, X.Z.[Xi-Zhan], Hu, S.X.[Sheng-Xiang], Sun, H.J.[Huai-Jiang],
ALIEN: Implicit Neural Representations for Human Motion Prediction under Arbitrary Latency,
CVPR25(1861-1870)
IEEE DOI 2508
BibRef
Earlier: A1, A5, A2, A4, Only:
Nermo: Learning Implicit Neural Representations for 3d Human Motion Prediction,
ECCV24(XLIV: 409-427).
Springer DOI 2412
Adaptation models, Delay effects, Computational modeling, Neural networks, Modulation, Predictive models, Multitasking, hyper-networks BibRef

Zhang, H.S.[Hao-Song], Leong, M.C.[Mei Chee], Li, L.Y.[Li-Yuan], Lin, W.S.[Wei-Si],
RD-DIFF: Rltransformer-Based Diffusion Model with Diversity-inducing Modulator for Human Motion Prediction,
ACCV24(I: 203-224).
Springer DOI 2412
BibRef

Sun, J.R.[Jia-Rui], Chowdhary, G.[Girish],
Comusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion,
ECCV24(LXIII: 18-36).
Springer DOI 2412
BibRef

Xu, G.W.[Guo-Wei], Tao, J.[Jiale], Li, W.[Wen], Duan, L.X.[Li-Xin],
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction,
ECCV24(XXI: 56-73).
Springer DOI 2412
BibRef

Zheng, Z.Y.[Zi-Yang], Ren, Z.L.[Zi-Liang], Liang, Z.H.[Zhan-Hao], Wang, G.[Gulin], Zhang, Q.S.[Qie-Shi],
MSGAT: Multi-Stage Graph Attention Network for Human Motion Prediction,
ICIP24(2306-2312)
IEEE DOI Code:
WWW Link. 2411
Convolutional codes, Solid modeling, Distributed processing, Attention mechanisms, Graph convolutional networks, Attention Mechanism BibRef

Yue, J.[Jiangbei], Li, B.[Baiyi], Petrré, J.[Julien], Seyfried, A.[Armin], Wang, H.[He],
Human Motion Prediction Under Unexpected Perturbation,
CVPR24(1501-1511)
IEEE DOI 2410
Deep learning, Adaptation models, Accuracy, Perturbation methods, Closed box, Artificial neural networks, Human Motion Prediction, Unexpected Perturbation BibRef

Sun, X.N.[Xiao-Ning], Sun, H.[Huaijiang], Li, B.[Bin], Wei, D.[Dong], Li, W.Q.[Wei-Qing], Lu, J.F.[Jian-Feng],
MoML: Online Meta Adaptation for 3D Human Motion Prediction,
CVPR24(1042-1051)
IEEE DOI 2410
Adaptation models, Accuracy, Closed-form solutions, Transforms, Predictive models, Real-time systems, Human motion modeling, meta-learning BibRef

Chen, H.P.[Hai-Peng], Lyu, K.[Kedi], Liu, Z.G.[Zhen-Guang], Yin, Y.F.[Yi-Fang], Yang, X.[Xun], Lyu, Y.[Yingda],
Rethinking Human Motion Prediction with Symplectic Integral,
CVPR24(2134-2143)
IEEE DOI 2410
Solid modeling, Accuracy, Predictive models, Prediction algorithms, Stability analysis, Numerical models, Human motion prediction BibRef

Zhang, J.H.[Jian-Hua], Zhou, H.Y.[Hui-Yu], Lv, N.[Na],
Adaptive Spatial-Temporal Modelling for Human Motion Prediction,
ICIP24(3580-3586)
IEEE DOI 2411
Adaptation models, Adaptive systems, Filters, Convolution, Time series analysis, Predictive models, Feature extraction, self-attention BibRef

Nakatsuka, C.[Chihiro], Komorita, S.[Satoshi],
Consistent and Diverse Human Motion Prediction Using Conditional Variational Autoencoder with Context-Aware Latent Space,
ICIP23(1965-1969)
IEEE DOI 2312
BibRef

Engilberge, M.[Martin], Liu, W.Z.[Wei-Zhe], Fua, P.[Pascal],
Multi-view Tracking Using Weakly Supervised Human Motion Prediction,
WACV23(1582-1592)
IEEE DOI 2302
Tracking, Computational modeling, Algorithms: Video recognition and understanding (tracking BibRef

de Almeida, T.R.[Tiago Rodrigues], Rudenko, A.[Andrey], Schreiter, T.[Tim], Zhu, Y.F.[Yu-Fei], Maestro, E.G.[Eduardo Gutierrez], Morillo-Mendez, L.[Lucas], Kucner, T.P.[Tomasz P.], Mozos, O.M.[Oscar Martinez], Magnusson, M.[Martin], Palmieri, L.[Luigi], Arras, K.O.[Kai O.], Lilienthal, A.J.[Achim J.],
THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Motion Prediction,
JRDB23(2192-2201)
IEEE DOI 2401
BibRef

Gao, X.H.[Xue-Hao], Du, S.Y.[Shao-Yi], Wu, Y.[Yang], Yang, Y.[Yang],
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction,
CVPR23(6451-6460)
IEEE DOI 2309
BibRef

Chen, L.H.[Ling-Hao], Zhang, J.W.[Jia-Wei], Li, Y.[Yewen], Pang, Y.R.[Yi-Ren], Xia, X.B.[Xiao-Bo], Liu, T.L.[Tong-Liang],
HumanMAC: Masked Motion Completion for Human Motion Prediction,
ICCV23(9510-9521)
IEEE DOI Code:
WWW Link. 2401
BibRef

Guo, W.[Wen], Du, Y.M.[Yu-Ming], Shen, X.[Xi], Lepetit, V.[Vincent], Alameda-Pineda, X.[Xavier], Moreno-Noguer, F.[Francesc],
Back to MLP: A Simple Baseline for Human Motion Prediction,
WACV23(4798-4808)
IEEE DOI 2302
Training, Recurrent neural networks, Deep architecture, Transformers, Discrete cosine transforms, 3D computer vision BibRef

Mao, W.[Wei], Liu, M.M.[Miao-Miao], Salzmann, M.[Mathieu],
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction,
CVPR22(8141-8150)
IEEE DOI 2210
Training, Stochastic processes, Training data, Predictive models, Transformers, Encoding, Trajectory, Motion and tracking, Action and event recognition BibRef

Medjaouri, O.[Omar], Desai, K.[Kevin],
HR-STAN: High-Resolution Spatio-Temporal Attention Network for 3D Human Motion Prediction,
Precognition22(2539-2548)
IEEE DOI 2210
Costs, Dynamics, Predictive models BibRef

Maeda, T.[Takahiro], Ukita, N.[Norimichi],
MotionAug: Augmentation with Physical Correction for Human Motion Prediction,
CVPR22(6417-6426)
IEEE DOI 2210
Training, Convolutional codes, Recurrent neural networks, Tracking, Force, Graphics processing units, Kinematics, Motion and tracking BibRef

Ma, T.Z.[Tie-Zheng], Nie, Y.W.[Yong-Wei], Long, C.J.[Cheng-Jiang], Zhang, Q.[Qing], Li, G.Q.[Gui-Qing],
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction,
CVPR22(6427-6436)
IEEE DOI 2210
Convolutional codes, Smoothing methods, Tracking, Face recognition, Performance gain, Feature extraction, Spatiotemporal phenomena, Face and gestures BibRef

Xu, S.[Sirui], Wang, Y.X.[Yu-Xiong], Gui, L.Y.[Liang-Yan],
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors,
ECCV22(XXII:251-269).
Springer DOI 2211
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Ma, H.[Hengbo], Li, J.C.[Jia-Chen], Hosseini, R.[Ramtin], Tomizuka, M.[Masayoshi], Choi, C.[Chiho],
Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation,
CVPR22(8151-8161)
IEEE DOI 2210
Training, Service robots, Machine vision, Predictive models, Transformers, Graph neural networks, Vision applications and systems BibRef

Zhong, C.Y.[Chong-Yang], Hu, L.[Lei], Zhang, Z.H.[Zi-Hao], Ye, Y.J.[Yong-Jing], Xia, S.H.[Shi-Hong],
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction,
CVPR22(6437-6446)
IEEE DOI 2210
Graphics, Adaptation models, Adaptive systems, Tracking, Computational modeling, Instruments, Motion and tracking, Vision + graphics BibRef

Cui, Q.J.[Qiong-Jie], Sun, H.J.[Huai-Jiang],
Towards Accurate 3D Human Motion Prediction from Incomplete Observations,
CVPR21(4799-4808)
IEEE DOI 2111
Graphics, Solid modeling, Predictive models, Prediction algorithms BibRef

Aksan, E.[Emre], Kaufmann, M.[Manuel], Cao, P.[Peng], Hilliges, O.[Otmar],
A Spatio-temporal Transformer for 3D Human Motion Prediction,
3DV21(565-574)
IEEE DOI 2201
Solid modeling, Codes, Frequency-domain analysis, Dynamics, Predictive models, Transformers, 3D human motion modelling, Self attention BibRef

Aksan, E., Kaufmann, M., Hilliges, O.,
Structured Prediction Helps 3D Human Motion Modelling,
ICCV19(7143-7152)
IEEE DOI 2004
Code, Human Motion.
WWW Link. feature extraction, graph theory, image motion analysis, learning (artificial intelligence), Kinematics BibRef

Aliakbarian, S.[Sadegh], Saleh, F.[Fatemeh], Petersson, L.[Lars], Gould, S.[Stephen], Salzmann, M.[Mathieu],
Contextually Plausible and Diverse 3D Human Motion Prediction,
ICCV21(11313-11322)
IEEE DOI 2203
Tracking, Semantics, Forecasting, Task analysis, Gestures and body pose, BibRef

Chopin, B.[Baptiste], Otberdout, N.[Naima], Daoudi, M.[Mohamed], Bartolo, A.[Angela],
Human Motion Prediction Using Manifold-Aware Wasserstein GAN,
FG21(1-8)
IEEE DOI 2303
Training, Manifolds, Solid modeling, Face recognition, Gesture recognition BibRef

Aliakbarian, S.[Sadegh], Saleh, F.S.[Fatemeh Sadat], Salzmann, M.[Mathieu], Petersson, L.[Lars], Gould, S.[Stephen],
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction,
CVPR20(5222-5231)
IEEE DOI 2008
Perturbation methods, Stochastic processes, Decoding, Training, Predictive models, Task analysis, Diversity reception BibRef

Yuan, Y.[Ye], Kitani, K.M.[Kris M.],
DLOW: Diversifying Latent Flows for Diverse Human Motion Prediction,
ECCV20(IX:346-364).
Springer DOI 2011
BibRef

Cao, Z.[Zhe], Gao, H.[Hang], Mangalam, K.[Karttikeya], Cai, Q.Z.[Qi-Zhi], Vo, M.[Minh], Malik, J.[Jitendra],
Long-term Human Motion Prediction with Scene Context,
ECCV20(I:387-404).
Springer DOI 2011
BibRef

Cai, Y.J.[Yu-Jun], Huang, L.[Lin], Wang, Y.W.[Yi-Wei], Cham, T.J.[Tat-Jen], Cai, J.F.[Jian-Fei], Yuan, J.S.[Jun-Song], Liu, J.[Jun], Yang, X.[Xu], Zhu, Y.H.[Yi-Heng], Shen, X.H.[Xiao-Hui], Liu, D.[Ding], Liu, J.[Jing], Magnenat-Thalmann, N.[Nadia],
Learning Progressive Joint Propagation for Human Motion Prediction,
ECCV20(VII:226-242).
Springer DOI 2011
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Mao, W., Liu, M., Salzmann, M., Li, H.,
Learning Trajectory Dependencies for Human Motion Prediction,
ICCV19(9488-9496)
IEEE DOI 2004
Code, Human Motion.
WWW Link. graph theory, image motion analysis, image representation, learning (artificial intelligence), pose estimation, Hidden Markov models BibRef

Gopalakrishnan, A.[Anand], Mali, A.[Ankur], Kifer, D.[Dan], Giles, L.[Lee], Ororbia, A.G.[Alexander G.],
A Neural Temporal Model for Human Motion Prediction,
CVPR19(12108-12117).
IEEE DOI 2002
BibRef

Xu, Y.T.[Yi Tian], Li, Y.Q.[Ya-Qiao], Meger, D.[David],
Human Motion Prediction Via Pattern Completion in Latent Representation Space,
CRV19(57-64)
IEEE DOI 1908
Decoding, Task analysis, Predictive models, Encoding, Standards, Cognitive science, Representation Learning BibRef

Barsoum, E., Kender, J., Liu, Z.,
HP-GAN: Probabilistic 3D Human Motion Prediction via GAN,
Joint18(1499-149909)
IEEE DOI 1812
Predictive models, Generative adversarial networks, Probabilistic logic, Generators, Prediction algorithms BibRef

Gui, L.Y.[Liang-Yan], Wang, Y.X.[Yu-Xiong], Ramanan, D.[Deva], Moura, J.M.F.[José M. F.],
Few-Shot Human Motion Prediction via Meta-learning,
ECCV18(VIII: 441-459).
Springer DOI 1810
BibRef

Gui, L.Y.[Liang-Yan], Wang, Y.X.[Yu-Xiong], Liang, X.D.[Xiao-Dan], Moura, J.M.F.[José M. F.],
Adversarial Geometry-Aware Human Motion Prediction,
ECCV18(II: 823-842).
Springer DOI 1810
BibRef

Martinez, J., Black, M.J., Romero, J.,
On Human Motion Prediction Using Recurrent Neural Networks,
CVPR17(4674-4683)
IEEE DOI 1711
Hidden Markov models, Mathematical model, Predictive models, Recurrent neural networks, Training, Visualization BibRef

Bütepage, J., Black, M.J., Kragic, D.[Danica], Kjellström, H.[Hedvig],
Deep Representation Learning for Human Motion Prediction and Classification,
CVPR17(1591-1599)
IEEE DOI 1711
Computational modeling, Correlation, Decoding, Encoding, Feature extraction, Hidden, Markov, models BibRef

Kjellstrom, H.[Hedvig], Kragic, D.[Danica], Black, M.J.[Michael J.],
Tracking people interacting with objects,
CVPR10(747-754).
IEEE DOI 1006
BibRef

Ardiyanto, I.[Igi], Miura, J.[Jun],
Human motion prediction considering environmental context,
MVA15(390-393)
IEEE DOI 1507
Context BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Tracking People, Human Tracking, Pedestrian Tracking .