What will the future be? We wonder! In this survey, we explore the gap between current research in egocentric vision and the ever-anticipated future, where wearable computing …
This paper focuses on building object-centric representations for long-term action anticipation in videos. Our key motivation is that objects provide important cues to recognize …
P Huang, X Shu, R Yan, Z Tu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The discussion of compositional generalization in action recognition, ie., Compositional Action Recognition (CAR), has recently received increasing attention. CAR challenges …
Y Zhang, W Liu, D Xu, Z Zhou… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Current approaches in Group Activity Recognition (GAR) predominantly emphasize Human Relations (HRs) while often neglecting the impact of Human-Object Interactions …
Y Li, G Chen, B Abramowitz, S Anzellott… - arXiv preprint arXiv …, 2024 - arxiv.org
Few-shot action recognition aims at quickly adapting a pre-trained model to the novel data with a distribution shift using only a limited number of samples. Key challenges include how …
Transformer-based Single Image Deraining (SID) methods have achieved remarkable success, primarily attributed to their robust capability in capturing long-range interactions …
The goal of few-shot action recognition is to recognize actions in video sequences for which there exists only a few training samples. The challenge is to adapt a base model effectively …