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Temporal action proposal generation is an important and challenging task in video understanding, which aims at detecting all temporal segments containing action instances of interest.
Modeling the temporal extent of actions
Scott Satkin and Martial Hebert · 2010
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Slow feature analysis for human action recognition
Zhang Zhang and Dacheng Tao · 2012
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THUMOS challenge: Action recognition with a large number of classes
Y.-G. Jiang, J. Liu, A. Roshan Zamir, G. Toderici, I. Laptev, M. Shah, and R. Sukthankar · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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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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Convolutional two-stream network fusion for video action recognition
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 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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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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End-to-end, single-stream temporal action detection in untrimmed videos
Shyamal Buch, Victor Escorcia, Bernard Ghanem, Li Fei-Fei, and Juan Carlos Niebles · 2017
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Quo vadis, action recognition? A new model and the kinetics dataset
João Carreira and Andrew Zisserman · 2017
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TURN TAP: temporal unit regression network for temporal action proposals
Jiyang Gao, Zhenheng Yang, Chen Sun, Kan Chen, and Ram Nevatia · 2017
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SCC: semantic context cascade for efficient action detection
Fabian Caba Heilbron, Wayner Barrios, Victor Escorcia, and Bernard Ghanem · 2017
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Action tubelet detector for spatio-temporal action localization
Vicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari, and Cordelia Schmid · 2017
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Temporal convolution based action proposal: Submission to activitynet 2017
Tianwei Lin, Xu Zhao, and Zheng Shou · 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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CDC: convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Untrimmednets for weakly supervised action recognition and detection
Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool · 2017
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R-C3D: region convolutional 3d network for temporal activity detection
Huijuan Xu, Abir Das, and Kate Saenko · 2017
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Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
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Diagnosing error in temporal action detectors
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Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, and Junzhou Huang · 2019
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HACS: human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
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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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End-to-end object detection with transformers
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On the relationship between self-attention and convolutional layers
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Humam Alwassel, Fabian Caba Heilbron, Victor Escorcia, and Bernard Ghanem · 2018
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Rethinking the faster R-CNN architecture for temporal action localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, and Rahul Sukthankar · 2018
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CTAP: complementary temporal action proposal generation
Jiyang Gao, Kan Chen, and Ram Nevatia · 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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Image transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran · 2018
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Appearance-and-relation networks for video classification
Limin Wang, Wei Li, Wen Li, and Luc Van Gool · 2018
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, and Ruslan Salakhutdinov · 2019
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Jean-Baptiste Cordonnier, Andreas Loukas, and Martin Jaggi · 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, Jakob Uszkoreit, and Neil Houlsby · 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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Actions as moving points
Yixuan Li, Zixu Wang, Limin Wang, and Gangshan Wu · 2020
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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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TDN: temporal difference networks for efficient action recognition
Limin Wang, Zhan Tong, Bin Ji, and Gangshan Wu · 2020
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G-TAD: sub-graph localization for temporal action detection
Mengmeng Xu, Chen Zhao, David S. Rojas, Ali K. Thabet, and Bernard Ghanem · 2020
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Dense regression network for video grounding
Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, and Chuang Gan · 2020
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Learning 2d temporal adjacent networks for moment localization with natural language
Songyang Zhang, Houwen Peng, Jianlong Fu, and Jiebo Luo · 2020
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Mgsampler: An explainable sampling strategy for video action recognition
Yuan Zhi, Zhan Tong, Limin Wang, and Gangshan Wu · 2021
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Object detection made simpler by eliminating heuristic NMS
Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, and Hao Li · 2021
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