Recurrent Modeling of Interaction Context for Collective Activity Recognition

By Minsi Wang, Bingbing Ni, Xiaokang Yang. 2017

158 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kun Qian
2. Yunhao Liu
3. Guidong Zhang
4. Yue Zheng
5. Yi Zhang
6. Chenshu Wu
7. Zheng Yang

In Computer Vision and Pattern Recognition

1. Kun Qian
2. Yunhao Liu
3. Guidong Zhang
4. Yue Zheng
5. Yi Zhang
6. Chenshu Wu
7. Zheng Yang

Citations in the corpus

• Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates (2017, neutral): “[25], [26], [27], [28], [29], [30], and RGB-based activity recognition [31], [32], [33], [34], [35], [36].”
• Widar3.0: Zero-Effort Cross-Domain Gesture Recognition With Wi-Fi (2021, unknown): “Traditional approaches use cameras [1], [2], [3], wearable devices and phones [4], [5], [6] or sonar [7], [8], [9] as the sensing module.”
• Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi (2019, methodology): “Traditional approaches use cameras [16, 24, 42], wearable devices and phones [8, 17, 36] or sonar [22, 29, 48] as the sensing module.”
• Spatio-Temporal Dynamic Inference Network for Group Activity Recognition (2021, unknown): “We follow [42, 45, 46] to merge the class crossing and walking into moving .”