Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
May 30, 2019 · In this paper, we propose a fast weakly supervised deep learning architecture for collective activity recognition. For fast inference, we ...
In this paper, we propose a fast weakly supervised deep learning architecture for collective activity recognition. For fast inference, we propose to make the ...
A fast weakly supervised deep learning architecture for collective activity recognition and a latent embedding scheme for mining person-group interactive ...
People also ask
In this paper, we propose a fast weakly supervised deep learning architecture for collective activity recognition. For fast inference, we ...
In this paper, we propose a detector-free model for WS-. GAR that depends neither on ground-truth bounding boxes nor on object detector. It bypasses explicit ...
This paper presents a weakly supervised approach for group activity recognition by exploiting the local relative motion and global correlations among ...
Fast Collective Activity Recognition Under Weak Supervision. IEEE ... Learning Person-Person Interaction in Collective Activity Recognition. IEEE ...
2013. Fast collective activity recognition under weak supervision. P Zhang, Y Tang, JF Hu, WS Zheng. IEEE Transactions on Image Processing 29, 29-43, 2019. 41 ...
Aug 28, 2023 · In this paper, we propose a new, simple, and effective. Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity ...
Jul 15, 2024 · This paper explores the context and position information in the scene for group activity understanding. Firstly, previous group activity ...