Structural-RNN: Deep Learning on Spatio-Temporal Graphs
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Abstract (arXiv)
Deep Recurrent Neural Network architectures, though remarkably capable at modeling sequences, lack an intuitive high-level spatio-temporal structure. That is while many problems in computer vision inherently have an underlying high-level structure and can benefit from it. Spatio-temporal graphs are a popular tool for imposing such high-level intuitions in the formulation of real world problems. In this paper, we propose an approach for combining the power of high-level spatio-temporal graphs and sequence learning success of Recurrent Neural Networks~(RNNs). We develop a scalable method for casting an arbitrary spatio-temporal graph as a rich RNN mixture that is feedforward, fully differentiable, and jointly trainable. The proposed method is generic and principled as it can be used for transforming any spatio-temporal graph through employing a certain set of well defined steps. The evaluations of the proposed approach on a diverse set of problems, ranging from modeling human motion to object interactions, shows improvement over the state-of-the-art with a large margin. We expect this method to empower new approaches to problem formulation through high-level spatio-temporal graphs and Recurrent Neural Networks.
Key facts. Cited by 234 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2015.
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Citing papers per year: 2019: 1; 2020: 0; 2021: 71; 2022: 48; 2023: 47; 2024: 31; 2025: 22; 2026: 14.
234 papers.
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50 most cited of 234 All 234 (JSON)
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50 newest of 234 All 234 (JSON)
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- 2023Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Modelscited by 43
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- 2024MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty4 Oct 2024
- 2024Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification22 Sep 2024
- 2024COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation29 Aug 2024
- 2024Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction16 Jul 2024
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- 2023TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction30 Jul 2023
- 2023Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model17 Apr 2023
- 2023Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?28 Feb 2023
- 2022BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction25 Nov 2022
- 2022A generic diffusion-based approach for 3D human pose prediction in the wild11 Oct 2022
- 2024Enhancing Human-Centered Dynamic Scene Understanding via Multiple LLMs Collaborated Reasoning15 Mar 2024
- 2022Visual Abductive Reasoning26 Mar 2022
- 2025VTD-CLIP: Video-to-Text Discretization via Prompting CLIP24 Mar 2025
- 2019Imitation Learning for Human Pose Predictioncited by 44
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- 2021Robust Motion In-betweeningcited by 229
- 2022Vision GNN: An Image is Worth Graph of Nodescited by 186
- 2021GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Camerascited by 153
- 2023CG-HOI: Contact-Guided 3D Human-Object Interaction Generationcited by 138
- 2021Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoderscited by 109
- 20213D AffordanceNet: A Benchmark for Visual Object Affordance Understandingcited by 100
- 2022Back to MLP: A Simple Baseline for Human Motion Predictioncited by 100
- 2023EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoningcited by 97
- 2021SAGA: Stochastic Whole-Body Grasping with Contactcited by 91
- 2021Space-Time-Separable Graph Convolutional Network for Pose Forecastingcited by 84
- 2022ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generationcited by 77
12 most cited of 216 All 216 (JSON)
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- 2026KOALA: Koopman Operator Learning for WiFi-Based Anticipatory Hum16 Aug 2026
- 2026Autonomous Telerehabilitation via Skeletal Motion Prediction and Joint-Level Performance Assessment12 Aug 2026
- 2026Capturing Uncertainty in Human Motion for Representation Learning in Soccer11 Aug 2026
- 2026Recurrent Neural Networks Beyond Time: Learning from Multiple Ordered Projections10 Aug 2026
- 2026Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms1 Aug 2026
- 2026SAGE: Synchronized Action-Gaze Recognition and Anticipation for Human Behavior Understanding4 Jul 2026
- 2026A Point Cloud Transformer for Remote Monitoring and Automated Assessment of Physical Rehabilitation Exercises29 Jun 2026
- 2026Zero-Gated Language-conditioned Human Motion Prediction28 Jun 2026
- 2026CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems28 May 2026
- 2026Diffusion Path Alignment for Long-Range Motion Generation and Domain Transitions31 Mar 2026
12 newest of 216 All 216 (JSON)