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Temporal Action Localization (TAL) is a challenging task in video understanding that aims to identify and localize actions within a video sequence.
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A theoretical analysis of feature pooling in visual recognition
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton · 2016
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Daps: Deep action proposals for action understanding
Victor Escorcia, Fabian Caba Heilbron, Juan Carlos Niebles, and Bernard Ghanem · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Fast temporal activity proposals for efficient detection of human actions in untrimmed videos
Fabian Caba Heilbron, Juan Carlos Niebles, and Bernard Ghanem · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
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Sst: Single-stream temporal action proposals
Shyamal Buch, Victor Escorcia, Chuanqi Shen, Bernard Ghanem, and Juan Carlos Niebles · 2017
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Snapshot ensembles: Train 1, get m for free
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E Hopcroft, and Kilian Q Weinberger · 2017
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The thumos challenge on action recognition for videos “in the wild”
Haroon Idrees, Amir R Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, and Mubarak Shah · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Learning spatio-temporal representation with pseudo-3d residual networks
Zhaofan Qiu, Ting Yao, and Tao Mei · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Deep learning using rectified linear units (relu)
Abien Fred Agarap · 2018
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Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
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A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
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Every moment counts: Dense detailed labeling of actions in complex videos
Serena Yeung, Olga Russakovsky, Ning Jin, Mykhaylo Andriluka, Greg Mori, and Li Fei-Fei · 2018
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Ms-tcn: Multi-stage temporal convolutional network for action segmentation
Yazan Abu Farha and Jurgen Gall · 2019
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Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
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Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
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Gaussian temporal awareness networks for action localization
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, and Tao Mei · 2019
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Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan · 2019
Multi-shot temporal event localization: a benchmark
Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, and Philip HS Torr · 2021
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Activity graph transformer for temporal action localization
Megha Nawhal and Greg Mori · 2021
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Temporal context aggregation network for temporal action proposal refinement
Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, and Nong Sang · 2021
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Class semantics-based attention for action detection
Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, and Juwei Lu · 2021
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Relaxed transformer decoders for direct action proposal generation
Jing Tan, Jiaqi Tang, Limin Wang, and Gangshan Wu · 2021
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Boundary content graph neural network for temporal action proposal generation
Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, and Junhui Liu · 2020
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Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Accurate temporal action proposal generation with relation-aware pyramid network
Jialin Gao, Zhixiang Shi, Guanshuo Wang, Jiani Li, Yufeng Yuan, Shiming Ge, and Xi Zhou · 2020
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Scale matters: Temporal scale aggregation network for precise action localization in untrimmed videos
Guoqiang Gong, Liangfeng Zheng, and Yadong Mu · 2020
Cited alongside, same era.
Fast learning of temporal action proposal via dense boundary generator
Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, and Rongrong Ji · 2020
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Modeling multi-label action dependencies for temporal action localization
Praveen Tirupattur, Kevin Duarte, Yogesh S Rawat, and Mubarak Shah · 2021
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Mlp-mixer: An all-mlp architecture for vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, et al · 2021
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Temporal action proposal generation with transformers
Lining Wang, Haosen Yang, Wenhao Wu, Hongxun Yao, and Hujie Huang · 2021
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Video self-stitching graph network for temporal action localization
Chen Zhao, Ali K Thabet, and Bernard Ghanem · 2021
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Actionness-guided transformer for anchor-free temporal action localization
Peisen Zhao, Lingxi Xie, Ya Zhang, and Qi Tian · 2021
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Enriching local and global contexts for temporal action localization
Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, and Gang Hua · 2021
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Ms-tct: multi-scale temporal convtransformer for action detection
Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S Ryoo, and François Brémond · 2022
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Glformer: Global and local context aggregation network for temporal action detection
Yilong He, Yong Zhong, Lishun Wang, and Jiachen Dang · 2022
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Htnet: Anchor-free temporal action localization with hierarchical transformers
Tae-Kyung Kang, Gun-Hee Lee, and Seong-Whan Lee · 2022
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End-to-end temporal action detection with transformer
Xiaolong Liu, Qimeng Wang, Yao Hu, Xu Tang, Shiwei Zhang, Song Bai, and Xiang Bai · 2022
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Post-processing temporal action detection
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang · 2022
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Proposal-free temporal action detection via global segmentation mask learning
Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, and Tao Xiang · 2022
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Pointtad: Multi-label temporal action detection with learnable query points
Jing Tan, Xiaotong Zhao, Xintian Shi, Bing Kang, and Limin Wang · 2022
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Structured attention composition for temporal action localization
Le Yang, Junwei Han, Tao Zhao, Nian Liu, and Dingwen Zhang · 2022
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Metaformer is actually what you need for vision
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, and Shuicheng Yan · 2022
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Actionformer: Localizing moments of actions with transformers
Chen-Lin Zhang, Jianxin Wu, and Yin Li · 2022
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Learning disentangled classification and localization representations for temporal action localization
Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, and Gang Hua · 2022
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