TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3147032
Abstract: Video self-supervised learning is a challenging task, which requires significant expressive power from the model to leverage rich spatial-temporal knowledge and generate effective supervisory signals from large amounts of unlabeled videos. However, existing methods fail… read more here.
Keywords: self supervised; representation; unlabeled videos; temporal contrastive ... See more keywords
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3525718
Abstract: Analyzing and comprehending check-in sequences is crucial for various applications in smart cities. However, publicly available check-in datasets are often limited in scale due to privacy concerns. This poses a significant obstacle to academic research… read more here.
Keywords: check sequences; temporal contrastive; model; spatio temporal ... See more keywords
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3127040
Abstract: In this paper, we propose a simple yet effective self-supervised method called spatio-temporal contrastive learning (ST-CL) for 3D skeleton-based action recognition. ST-CL acquires action-specific features by regarding the spatio-temporal continuity of motion tendency as the… read more here.
Keywords: temporal contrastive; action; contrastive learning; learning skeleton ... See more keywords