Fetching the paper…
Reading the bibliography…
The hungarian method for the assignment problem
H. Kuhn · 1955
Earlier work this paper cites.
A new approach to linear filtering and prediction problems” transaction of the asme journal of basic
R. Kálmán · 1960
Earlier work this paper cites.
Recognizing action at a distance
Alexei A Efros, Alexander C Berg, Greg Mori, and Jitendra Malik · 2003
Earlier work this paper cites.
Objects in action: An approach for combining action understanding and object perception
Abhinav Gupta and Larry S. Davis · 2007
Earlier work this paper cites.
Convolutional learning of spatio-temporal features
Graham W Taylor, Rob Fergus, Yann LeCun, and Christoph Bregler · 2010
Earlier work this paper cites.
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, A. Krizhevsky, Ilya Sutskever, and R. Salakhutdinov · 2012
Earlier work this paper cites.
Mid-level features improve recognition of interactive activities
Kate Saenko, Ben Packer, Chao-Yeh Chen, Sunil Bandla, Yong Jae Lee, Yangqing Jia, Juan Carlos Niebles, Daphne Koller, Li Fei-Fei, Kristen Grauman, and Trevor Darrell · 2012
Earlier work this paper cites.
3d convolutional neural networks for human action recognition
Shuiwang Ji, Wei Xu, Ming Yang, and Kai Yu · 2013
Earlier work this paper cites.
Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, M. Maire, Serge J. Belongie, James Hays, P. Perona, D. Ramanan, Piotr Dollár, and C. L. Zitnick · 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.
Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
Earlier work this paper cites.
Spatial transformer networks
Max Jaderberg, K. Simonyan, Andrew Zisserman, and K. Kavukcuoglu · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 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.
Beyond short snippets: Deep networks for video classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, and George Toderici · 2015
Earlier work this paper cites.
Simple online and realtime tracking
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, and Ben Upcroft · 2016
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.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Deep networks with stochastic depth
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian Q. Weinberger · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Earlier work this paper cites.
Learning activity progression in lstms for activity detection and early detection
S. Ma, L. Sigal, and S. Sclaroff · 2016
Earlier work this paper cites.
Temporal action detection using a statistical language model
A. Richard and J. Gall · 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.
A multi-stream bi-directional recurrent neural network for fine-grained action detection
Bharat Singh, Tim K. Marks, Michael Jones, Oncel Tuzel, and Ming Shao · 2016
Earlier work this paper cites.
End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2016
Earlier work this paper cites.
Sst: Single-stream temporal action proposals
S. Buch, V. Escorcia, C. Shen, B. Ghanem, and J. C. Niebles · 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.
Temporal context network for activity localization in videos
Xiyang Dai, Bharat Singh, Guyue Zhang, Larry S. Davis, and Yan Qiu Chen · 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.
The” something something” video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, et al · 2017
Earlier work this paper cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Earlier work this paper cites.
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
Earlier work this paper cites.
Temporal convolutional networks for action segmentation and detection
C. Lea, M. D. Flynn, R. Vidal, A. Reiter, and G. D. Hager · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
Cited alongside, same era.
A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, and Timothy Lillicrap · 2017
Cited alongside, same era.
R-c3d: Region convolutional 3d network for temporal activity detection
H. Xu, A. Das, and K. Saenko · 2017
Cited alongside, same era.
Temporal action localization by structured maximal sums
Zehuan Yuan, Jonathan C. Stroud, Tong Lu, and Jia Deng · 2017
Cited alongside, same era.
Temporal action detection with structured segment networks
Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Xiaoou Tang, and Dahua Lin · 2017
Lxmert: Learning cross-modality encoder representations from transformers
Hao Hao Tan and Mohit Bansal · 2019
Later among the works it cites.
Temporal segment networks for action recognition in videos
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 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 Krähenbühl, and Ross Girshick · 2019
Later among the works it cites.
Detectron2
Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick · 2019
Later among the works it cites.
Learning to detect human-object interactions with knowledge
Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, and M. Kankanhalli · 2019
Later among the works it cites.
Marginalized average attentional network for weakly-supervised learning
Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, and Dit-Yan Yeung · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Action search: Spotting targets in videos and its application to temporal action localization
Humam Alwassel, Fabian Caba Heilbron, and Bernard Ghanem · 2018
Cited alongside, same era.
Object level visual reasoning in videos
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, and Greg Mori · 2018
Cited alongside, same era.
Relational inductive biases, deep learning, and graph networks
Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, et al · 2018
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.
Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
Cited alongside, same era.
AVA: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, and Jitendra Malik · 2018
Cited alongside, same era.
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.
Cross-task weakly supervised learning from instructional videos
Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, and Josef Sivic · 2019
Later among the works it cites.
End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Later among the works it cites.
Uniter: Universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
Later among the works it cites.
Randaugment: Practical automated data augmentation with a reduced search space
Ekin Dogus Cubuk, Barret Zoph, Jon Shlens, and Quoc Le · 2020
Later among the works it cites.
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, , Antonino Furnari, Jian Ma, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2020
Later among the works it cites.
Drg: Dual relation graph for human-object interaction detection
Chen Gao, Jiarui Xu, Yuliang Zou, and Jia-Bin Huang · 2020
Later among the works it cites.
Learning canonical representations for scene graph to image generation
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, and Amir Globerson · 2020
Later among the works it cites.
Actionbytes: Learning from trimmed videos to localize actions
M. Jain, A. Ghodrati, and C. G. M. Snoek · 2020
Later among the works it cites.
Learning object detection from captions via textual scene attributes
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, and Amir Globerson · 2020
Later among the works it cites.
Oscar: Object-semantics aligned pre-training for vision-language tasks
Xiujun Li, Xi Yin, Chunyuan Li, Xiaowei Hu, Pengchuan Zhang, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, and Jianfeng Gao · 2020
Later among the works it cites.
Something-else: Compositional action recognition with spatial-temporal interaction networks
Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, and Trevor Darrell · 2020
Later among the works it cites.
Differentiable scene graphs
Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, and Amir Globerson · 2020
Later among the works it cites.
Weakly-supervised action localization by generative attention modeling
Baifeng Shi, Qi Dai, Yadong Mu, and Jingdong Wang · 2020
Later among the works it cites.
What can neural networks reason about?
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken ichi Kawarabayashi, and Stefanie Jegelka · 2020
Later among the works it cites.
Graph contrastive learning with augmentations
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen · 2020
Later among the works it cites.
Vivit: A video vision transformer, 2021
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, and Cordelia Schmid · 2021
Closest in time.
Unified graph structured models for video understanding
Anurag Arnab, Chen Sun, and Cordelia Schmid · 2021
Closest in time.
Compositional video synthesis with action graphs
Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, and A. Globerson · 2021
Closest in time.
Is space-time attention all you need for video understanding?
Gedas Bertasius, Heng Wang, and Lorenzo Torresani · 2021
Closest in time.
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 · 2021
Closest in time.
Multiscale vision transformers
Fan Haoqi, Xiong Bo, Mangalam Karttikeya, Li Yanghao, Yan Zhicheng, Malik Jitendra, and Feichtenhofer Christoph · 2021
Closest in time.
Activity graph transformer for temporal action localization, 2021
Megha Nawhal and Greg Mori · 2021
Closest in time.
Keeping your eye on the ball: Trajectory attention in video transformers, 2021
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and Joao F. Henriques · 2021
Closest in time.
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
Closest in time.
Towards Long-Form Video Understanding
Chao-Yuan Wu and Philipp Krähenbühl · 2021
Closest in time.
Temporal query networks for fine-grained video understanding
Chuhan Zhang, Ankush Gputa, and Andrew Zisserman · 2021
Closest in time.