Pattern4Ego: Learning Egocentric Video Representation Using Cross-video Activity Patterns
Author:
Affiliation:
1. CFCS, School of CS, Peking University, Beijing, China
2. Peking University, Beijing, China
3. Peking University & Northeastern University, Beijing, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3652583.3658010
Reference85 articles.
1. Mehmet Ali Arabaci Elif Surer and Alptekin Temizel. 2023. Egocentric Activity Recognition Using Two-Stage Decision Fusion. (2023).
2. Object Level Visual Reasoning in Videos
3. SpeedNet: Learning the Speediness in Videos
4. Marius Bock, Michael Moeller, Kristof Van Laerhoven, and Hilde Kuehne. 2023. WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. arXiv preprint arXiv:2304.05088 (2023).
5. Understanding Hand-Object Manipulation with Grasp Types and Object Attributes
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