On the public citation graph
Bidirectional Transformer GAN for Long-term Human Motion Prediction
0 signed · 58 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00221-008-1355-3openalex-snapshot
The statistics of natural hand movements
inferredcites →https://doi.org/10.1016/j.jmsy.2017.04.009openalex-snapshot
Human motion prediction for human-robot collaboration
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.573openalex-snapshot
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
inferredcites →https://doi.org/10.1109/cvpr.2017.18openalex-snapshot
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.497openalex-snapshot
On Human Motion Prediction Using Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00548openalex-snapshot
Convolutional Sequence to Sequence Model for Human Dynamics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00029openalex-snapshot
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/tpami.2013.248openalex-snapshot
Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
inferredcites →https://doi.org/10.1109/tpami.2015.2430335openalex-snapshot
Anticipating Human Activities Using Object Affordances for Reactive Robotic Response
inferredcites →https://doi.org/10.1145/3394171.3413932openalex-snapshot
Self-supervised Dance Video Synthesis Conditioned on Music
inferredcites →https://doi.org/10.1145/3449359openalex-snapshot
Where Are They Going? Predicting Human Behaviors in Crowded Scenes
inferredcites →https://doi.org/10.1145/3451390openalex-snapshot
Fine-Grained Visual Textual Alignment for Cross-Modal Retrieval Using Transformer Encoders
inferredcites →https://doi.org/10.1145/3474085.3475237openalex-snapshot
Motion Prediction via Joint Dependency Modeling in Phase Space
inferredcites →https://doi.org/10.1145/3474085.3475630openalex-snapshot
Learning Human Motion Prediction via Stochastic Differential Equations
inferredcites →https://doi.org/10.1145/3474085.3479231openalex-snapshot
Video Relation Detection via Tracklet based Visual Transformer
inferredcites →https://doi.org/10.1145/3503927openalex-snapshot
Scenario-Aware Recurrent Transformer for Goal-Directed Video Captioning
inferredcites →https://doi.org/10.24963/ijcai.2018/130openalex-snapshot
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics
inferredcites →https://doi.org/10.48550/arxiv.1906.08237openalex-snapshot
XLNet: Generalized Autoregressive Pretraining for Language Understanding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-96-9964-3_23openalex-snapshot
NeuroSync: A Dual-Path Dynamically Modulated Framework with Spatiotemporal Compression for Human Action Recognition
inferred← citeshttps://doi.org/10.1007/s10791-026-09971-5openalex-snapshot
Self-evolution asset generation in native cloud VR game runtime using adversarial procedural action synthesis factory
inferred← citeshttps://doi.org/10.1007/s11801-025-4119-4openalex-snapshot
Robust human motion prediction via integration of spatial and temporal cues
inferred← citeshttps://doi.org/10.1007/s13042-025-02646-5openalex-snapshot
Enhanced spatio-temporal motion prediction using transformer-augmented graph convolutional networks
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113676openalex-snapshot
Adaptive self-correction network for human motion prediction
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113909openalex-snapshot
Multi-granularity spatiotemporal fusion neural network with denoising reconstruction for human motion prediction
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131877openalex-snapshot
Improving long-term human motion prediction for physical exercise actions using a lightweight approach
inferred← citeshttps://doi.org/10.1016/j.imavis.2024.104926openalex-snapshot
Recent advances in deterministic human motion prediction: A review
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122887openalex-snapshot
Bidirectional motion-aware GAN for future frame prediction in autonomous driving
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110948openalex-snapshot
A human-like action learning process: Progressive pose generation for motion prediction
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127683openalex-snapshot
Simplified neural architecture for efficient human motion prediction in human-robot interaction
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134377openalex-snapshot
A systematic literature review on 3-dimensional video generation: Representation, techniques, applications, and challenges
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106153openalex-snapshot
AMHGCN: Adaptive multi-level hypergraph convolution network for human motion prediction
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113281openalex-snapshot
SMRNet: Stacked motion residual learning with spatiotemporal modeling in diffusion models for human motion prediction
inferred← citeshttps://doi.org/10.1038/s44387-026-00083-5openalex-snapshot
Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction
inferred← citeshttps://doi.org/10.1109/access.2024.3434695openalex-snapshot
Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00208openalex-snapshot
Rethinking Human Motion Prediction with Symplectic Integral
inferred← citeshttps://doi.org/10.1109/icip51287.2024.10648098openalex-snapshot
Motion-Lie Transformer: Geometric Attention For 3D Human Pose Motion Prediction
inferred← citeshttps://doi.org/10.1109/rait65068.2025.11089203openalex-snapshot
Future Frame Prediction Using a U-Net-Based Wasserstein Generative Adversarial Network (WGAN) Approach
inferred← citeshttps://doi.org/10.1109/tai.2024.3404910openalex-snapshot
Transformer-Based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/tcds.2025.3577118openalex-snapshot
Towards Diverse and Natural Stochastic Human Motion Prediction With a Novel Multiobjective Optimization Framework
inferred← citeshttps://doi.org/10.1109/tetci.2024.3386840openalex-snapshot
Multilevel Joint Association Networks for Diverse Human Motion Prediction
inferred← citeshttps://doi.org/10.1109/tip.2024.3414935openalex-snapshot
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction
inferred← citeshttps://doi.org/10.1109/tmm.2023.3242152openalex-snapshot
Interaction Transformer for Human Reaction Generation
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3583597openalex-snapshot
Highly Condensed All-MLP Architecture for Long-Term Human Motion Prediction
inferred← citeshttps://doi.org/10.1115/1.4072731openalex-snapshot
LongGen-HMP: A Generative Real-Time Framework for Human Motion Prediction Via Residual Refinement
inferred← citeshttps://doi.org/10.1142/s0219519426400373openalex-snapshot
TRANSFORMER FOR INDIVIDUALIZED SPORTS MOTION ANALYSIS AND HEALTH-RELATED ACTIVITY RECOGNITION BASED ON MULTIMODAL DEEP LEARNING METHOD
inferred← citeshttps://doi.org/10.1142/s0219519426400968openalex-snapshot
A SMART HEALTH EVALUATION SYSTEM AND OPTIMIZATION MECHANISM FOR SPORTS ACTIONS INCORPORATING BigGAN
inferred← citeshttps://doi.org/10.1145/3633781openalex-snapshot
Efficient Video Transformers via Spatial-temporal Token Merging for Action Recognition
inferred← citeshttps://doi.org/10.1145/3703935.3704064openalex-snapshot
Multi-space Behavior-sensitive Feature Learning for 3D skeleton-based Human Motion Prediction
inferred← citeshttps://doi.org/10.1145/3847665openalex-snapshot
Pose Magic++: Integrating Mamba and HyperGCN for Efficient and Temporally Consistent 3D Human Pose Estimation
inferred← citeshttps://doi.org/10.1145/3856803openalex-snapshot
SE-Former: Skeleton-Enhanced Learning Framework for 3D Human Motion Prediction
inferred← citeshttps://doi.org/10.1177/14727978251380798openalex-snapshot
Generative adversarial network-driven dynamic motion generation and optimization for labor roles
inferred← citeshttps://doi.org/10.1609/aaai.v38i3.27979openalex-snapshot
Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling
inferred← citeshttps://doi.org/10.3390/ai5040139openalex-snapshot
Dynamic Differencing-Based Hybrid Network for Improved 3D Skeleton-Based Motion Prediction
inferred← citeshttps://doi.org/10.3390/sym17091489openalex-snapshot
Transformer-Driven GAN for High-Fidelity Edge Clutter Generation with Spatiotemporal Joint Perception
inferred← citeshttps://doi.org/10.70675/ee87bea2z8f86z484bz9ce6z0a61e051a7c4openalex-snapshot
Context-aware pedestrian behavior agentification using innovative deep learning methods on video and 3D data
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.