# Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos

arXiv: https://arxiv.org/abs/2007.02632 · HTML: https://mlsanity.com/paper/2007.02632/

## Key facts

- Cited by 39 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Jul 2020.

## Built on by (most cited first, 30 of 39)

- [GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer](https://mlsanity.com/paper/2108.12630/) (2021)
- [JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection](https://mlsanity.com/paper/2106.08827/) (2021)
- [Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition](https://mlsanity.com/paper/2204.02148/) (2022)
- [Hunting Group Clues with Transformers for Social Group Activity Recognition](https://mlsanity.com/paper/2207.05254/) (2022)
- [Detector-Free Weakly Supervised Group Activity Recognition](https://mlsanity.com/paper/2204.02139/) (2022)
- [COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality](https://mlsanity.com/paper/2112.05892/) (2021)
- [Pose is all you need: The pose only group activity recognition system (POGARS)](https://mlsanity.com/paper/2108.04186/) (2021)
- [SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition](https://mlsanity.com/paper/2303.12149/) (2023)
- [Panoramic Human Activity Recognition](https://mlsanity.com/paper/2203.03806/) (2022)
- [JRDB-Social: A Multifaceted Robotic Dataset for Understanding of Context and Dynamics of Human Interactions Within Social Groups](https://mlsanity.com/paper/2404.04458/) (2024)
- [A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision](https://mlsanity.com/paper/2307.03353/) (2023)
- [Towards More Practical Group Activity Detection: A New Benchmark and Model](https://mlsanity.com/paper/2312.02878/) (2023)
- [SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition](https://mlsanity.com/paper/2305.06310/) (2023)
- [Self-supervised Social Relation Representation for Human Group Detection](https://mlsanity.com/paper/2203.03843/) (2022)
- [Interaction-aware Joint Attention Estimation Using People Attributes](https://mlsanity.com/paper/2308.05382/) (2023)
- [Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph](https://mlsanity.com/paper/2407.19497/) (2024)
- [REACT: Recognize Every Action Everywhere All At Once](https://mlsanity.com/paper/2312.00188/) (2023)
- [Real-time Trajectory-based Social Group Detection](https://mlsanity.com/paper/2304.05678/) (2023)
- [Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition](https://mlsanity.com/paper/2405.18012/) (2024)
- [SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic](https://mlsanity.com/paper/2503.06522/) (2025)
- [Dynamic Group Detection using VLM-augmented Temporal Groupness Graph](https://mlsanity.com/paper/2509.04758/) (2025)
- [Knowledge Augmented Relation Inference for Group Activity Recognition](https://mlsanity.com/paper/2302.14350/) (2023)
- [DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image](https://mlsanity.com/paper/2303.06439/) (2023)
- [Learning Group Activity Features Through Person Attribute Prediction](https://mlsanity.com/paper/2403.02753/) (2024)
- [Self-supervised Multi-actor Social Activity Understanding in Streaming Videos](https://mlsanity.com/paper/2406.14472/) (2024)
- [Birds Eye View Social Distancing Analysis System](https://mlsanity.com/paper/2112.07159/) (2021)
- [MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition](https://mlsanity.com/paper/2304.08803/) (2023)
- [Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition](https://mlsanity.com/paper/2403.14113/) (2024)
- [Design and Analysis of Efficient Attention in Transformers for Social Group Activity Recognition](https://mlsanity.com/paper/2404.09964/) (2024)
- [LiGAR: LiDAR-Guided Hierarchical Transformer for Multi-Modal Group Activity Recognition](https://mlsanity.com/paper/2410.21108/) (2024)

## Abstract (arXiv)

The state-of-the art solutions for human activity understanding from a video stream formulate the task as a spatio-temporal problem which requires joint localization of all individuals in the scene and classification of their actions or group activity over time. Who is interacting with whom, e.g. not everyone in a queue is interacting with each other, is often not predicted. There are scenarios where people are best to be split into sub-groups, which we call social groups, and each social group may be engaged in a different social activity. In this paper, we solve the problem of simultaneously grouping people by their social interactions, predicting their individual actions and the social activity of each social group, which we call the social task. Our main contributions are: i) we propose an end-to-end trainable framework for the social task; ii) our proposed method also sets the state-of-the-art results on two widely adopted benchmarks for the traditional group activity recognition task (assuming individuals of the scene form a single group and predicting a single group activity label for the scene); iii) we introduce new annotations on an existing group activity dataset, re-purposing it for the social task.