Fetching the paper…
Reading the bibliography…
Temporal action proposal generation aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet important task in the video understanding field.
Thumos challenge: Action recognition with a large number of classes
YG Jiang, Jingen Liu, A Roshan Zamir, G Toderici, I Laptev, Mubarak Shah, and Rahul Sukthankar · 2014
Earlier work this paper cites.
Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
Earlier work this paper cites.
Action recognition using visual attention
Shikhar Sharma, Ryan Kiros, and Ruslan Salakhutdinov · 2015
Earlier work this paper cites.
Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Earlier work this paper cites.
Towards good practices for very deep two-stream convnets
Limin Wang, Yuanjun Xiong, Zhe Wang, and Yu Qiao · 2015
Earlier work this paper cites.
Towards good practices for very deep two-stream convnets
Limin Wang, Yuanjun Xiong, Zhe Wang, and Yu Qiao · 2015
Earlier work this paper cites.
Convolutional two-stream network fusion for video action recognition
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2016
Earlier work this paper cites.
Temporal action localization in untrimmed videos via multi-stage cnns
Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016
Earlier work this paper cites.
Untrimmed video classification for activity detection: submission to activitynet challenge
Gurkirt Singh and Fabio Cuzzolin · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Cuhk & ethz & siat submission to activitynet challenge 2016
Yuanjun Xiong, Limin Wang, Zhe Wang, Bowen Zhang, Hang Song, Wei Li, Dahua Lin, Yu Qiao, Luc Van Gool, and Xiaoou Tang · 2016
Earlier work this paper cites.
Soft-nms–improving object detection with one line of code
Navaneeth Bodla, Bharat Singh, Rama Chellappa, and Larry S Davis · 2017
Earlier work this paper cites.
Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
Earlier work this paper cites.
Turn tap: Temporal unit regression network for temporal action proposals
Jiyang Gao, Zhenheng Yang, Kan Chen, Chen Sun, and Ram Nevatia · 2017
Earlier work this paper cites.
Attentional pooling for action recognition
Rohit Girdhar and Deva Ramanan · 2017
Earlier work this paper cites.
Single shot temporal action detection
Tianwei Lin, Xu Zhao, and Zheng Shou · 2017
Cited alongside, same era.
Learning spatio-temporal representation with pseudo-3d residual networks
Zhaofan Qiu, Ting Yao, and Tao Mei · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Untrimmednets for weakly supervised action recognition and detection
Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool · 2017
Cited alongside, same era.
Rethinking spatiotemporal feature learning for video understanding (2017). arxiv preprint
S Xie, C Sun, J Huang, Z Tu, and K Murphy · 2017
Cited alongside, same era.
Tsm: Temporal shift module for efficient video understanding
Ji Lin, Chuang Gan, and Song Han · 2019
Later among the works it cites.
Bmn: Boundary-matching network for temporal action proposal generation
Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, and Shilei Wen · 2019
Later among the works it cites.
Multi-granularity generator for temporal action proposal
Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, and Shih-Fu Chang · 2019
Later among the works it cites.
Long-term feature banks for detailed video understanding
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krahenbuhl, and Ross Girshick · 2019
Later among the works it cites.
Graph convolutional networks for temporal action localization
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, and Chuang Gan · 2019
Later among the works it cites.
Learning sparse 2d temporal adjacent networks for temporal action localization
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
Cited alongside, same era.
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
Cited alongside, same era.
Ctap: Complementary temporal action proposal generation
Jiyang Gao, Kan Chen, and Ram Nevatia · 2018
Cited alongside, same era.
Bsn: Boundary sensitive network for temporal action proposal generation
Tianwei Lin, Xu Zhao, Haisheng Su, Chongjing Wang, and Ming Yang · 2018
Cited alongside, same era.
Cascaded pyramid mining network for weakly supervised temporal action localization
Haisheng Su, Xu Zhao, and Tianwei Lin · 2018
Cited alongside, same era.
A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Cited alongside, same era.
Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
Cited alongside, same era.
Songyang Zhang, Houwen Peng, Le Yang, Jianlong Fu, and Jiebo Luo · 2019
Later among the works it cites.
Hacs: Human action clips and segments dataset for recognition and temporal localization
Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
Later among the works it cites.
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
Later among the works it cites.
Actor-transformers for group activity recognition
Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, and Cees GM Snoek · 2020
Later among the works it cites.
Tea: Temporal excitation and aggregation for action recognition
Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, and Limin Wang · 2020
Later among the works it cites.
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
Later among the works it cites.
Haisheng Su, Weihao Gan, Wei Wu, Junjie Yan, and Yu Qiao · 2020
Later among the works it cites.
Collaborative distillation in the parameter and spectrum domains for video action recognition
Haisheng Su, Jing Su, Dongliang Wang, Weihao Gan, Wei Wu, Mengmeng Wang, Junjie Yan, and Yu Qiao · 2020
Later among the works it cites.
Transferable knowledge-based multi-granularity fusion network for weakly supervised temporal action detection
Haisheng Su, Xu Zhao, Tianwei Lin, Shuming Liu, and Zhilan Hu · 2020
Later among the works it cites.
G-tad: Sub-graph localization for temporal action detection
Mengmeng Xu, Chen Zhao, David S Rojas, Ali Thabet, and Bernard Ghanem · 2020
Later among the works it cites.