Actionformer: Localizing moments of actions with transformers

CL Zhang, J Wu, Y Li - European Conference on Computer Vision, 2022 - Springer
Self-attention based Transformer models have demonstrated impressive results for image
classification and object detection, and more recently for video understanding. Inspired by …

End-to-end temporal action detection with transformer

X Liu, Q Wang, Y Hu, X Tang, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Temporal action detection (TAD) aims to determine the semantic label and the temporal
interval of every action instance in an untrimmed video. It is a fundamental and challenging …

Physformer: Facial video-based physiological measurement with temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Physformer++: Facial video-based physiological measurement with slowfast temporal difference transformer

Z Yu, Y Shen, J Shi, H Zhao, Y Cui, J Zhang… - International Journal of …, 2023 - Springer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and
physiological signals from facial video without any contact, has great potential in many …

Proposal-free temporal action detection via global segmentation mask learning

S Nag, X Zhu, YZ Song, T Xiang - European Conference on Computer …, 2022 - Springer
Existing temporal action detection (TAD) methods rely on generating an overwhelmingly
large number of proposals per video. This leads to complex model designs due to proposal …

Difftad: Temporal action detection with proposal denoising diffusion

S Nag, X Zhu, J Deng, YZ Song… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose a new formulation of temporal action detection (TAD) with denoising diffusion,
DiffTAD in short. Taking as input random temporal proposals, it can yield action proposals …

Gatehub: Gated history unit with background suppression for online action detection

J Chen, G Mittal, Y Yu, Y Kong… - Proceedings of the …, 2022 - openaccess.thecvf.com
Online action detection is the task of predicting the action as soon as it happens in a
streaming video. A major challenge is that the model does not have access to the future and …

Temporalmaxer: Maximize temporal context with only max pooling for temporal action localization

TN Tang, K Kim, K Sohn - arXiv preprint arXiv:2303.09055, 2023 - arxiv.org
Temporal Action Localization (TAL) is a challenging task in video understanding that aims to
identify and localize actions within a video sequence. Recent studies have emphasized the …

Temporal action proposal generation with background constraint

H Yang, W Wu, L Wang, S Jin, B Xia, H Yao… - Proceedings of the …, 2022 - ojs.aaai.org
Temporal action proposal generation (TAPG) is a challenging task that aims to locate action
instances in untrimmed videos with temporal boundaries. To evaluate the confidence of …

Good practices and a strong baseline for traffic anomaly detection

Y Zhao, W Wu, Y He, Y Li, X Tan… - Proceedings of the …, 2021 - openaccess.thecvf.com
The detection of traffic anomalies is a critical component of the intelligent city transportation
management system. Previous works have proposed a variety of notable insights and taken …