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Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks.
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A tutorial on spectral clustering
Ulrike Von Luxburg · 2007
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Learning realistic human actions from movies
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, and Benjamin Rozenfeld · 2008
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A database for fine grained activity detection of cooking activities
Marcus Rohrbach, Sikandar Amin, Mykhaylo Andriluka, and Bernt Schiele · 2012
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Combining embedded accelerometers with computer vision for recognizing food preparation activities
Sebastian Stein and Stephen J McKenna · 2013
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Action recognition with improved trajectories
Heng Wang and Cordelia Schmid · 2013
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Weakly supervised action labeling in videos under ordering constraints
Piotr Bojanowski, Rémi Lajugie, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, and Josef Sivic · 2014
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The language of actions: Recovering the syntax and semantics of goal-directed human activities
Hilde Kuehne, Ali Arslan, and Thomas Serre · 2014
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Multiple granularity analysis for fine-grained action detection
Bingbing Ni, Vignesh R Paramathayalan, and Pierre Moulin · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Unsupervised learning from narrated instruction videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Josef Sivic, Ivan Laptev, and Simon Lacoste-Julien · 2016
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Connectionist temporal modeling for weakly supervised action labeling
De-An Huang, Li Fei-Fei, and Juan Carlos Niebles · 2016
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An end-to-end generative framework for video segmentation and recognition
Hilde Kuehne, Juergen Gall, and Thomas Serre · 2016
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Segmental spatiotemporal cnns for fine-grained action segmentation
Colin Lea, Austin Reiter, René Vidal, and Gregory D Hager · 2016
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Recognizing fine-grained and composite activities using hand-centric features and script data
Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, and Bernt Schiele · 2016
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Deep learning for action and gesture recognition in image sequences: A survey
Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, and Sergio Escalera · 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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Neuralnetwork-viterbi: A framework for weakly supervised video learning
Alexander Richard, Hilde Kuehne, Ahsan Iqbal, and Juergen Gall · 2018
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Unsupervised learning and segmentation of complex activities from video
Fadime Sener and Angela Yao · 2018
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A perceptual prediction framework for self supervised event segmentation
Sathyanarayanan N Aakur and Sudeep Sarkar · 2019
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D3tw: Discriminative differentiable dynamic time warping for weakly supervised action alignment and segmentation
Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, and Juan Carlos Niebles · 2019
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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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Unsupervised learning of action classes with continuous temporal embedding
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Li Ding and Chenliang Xu · 2017
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Going deeper into action recognition: A survey
Samitha Herath, Mehrtash Harandi, and Fatih Porikli · 2017
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Weakly supervised learning of actions from transcripts
Hilde Kuehne, Alexander Richard, and Juergen Gall · 2017
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Temporal convolutional networks for action segmentation and detection
Colin Lea, Michael D Flynn, Rene Vidal, Austin Reiter, and Gregory D Hager · 2017
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Weakly supervised action learning with rnn based fine-to-coarse modeling
Alexander Richard, Hilde Kuehne, and Juergen Gall · 2017
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Weakly-supervised action segmentation with iterative soft boundary assignment
Li Ding and Chenliang Xu · 2018
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A hybrid rnn-hmm approach for weakly supervised temporal action segmentation
Hilde Kuehne, Alexander Richard, and Juergen Gall · 2018
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Anna Kukleva, Hilde Kuehne, Fadime Sener, and Jurgen Gall · 2019
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Weakly supervised energy-based learning for action segmentation
Jun Li, Peng Lei, and Sinisa Todorovic · 2019
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Efficient parameter-free clustering using first neighbor relations
M. Saquib Sarfraz, Vivek Sharma, and Rainer Stiefelhagen · 2019
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Fast weakly supervised action segmentation using mutual consistency
Yaser Souri, Mohsen Fayyaz, Luca Minciullo, Gianpiero Francesca, and Juergen Gall · 2019
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Action segmentation with joint self-supervised temporal domain adaptation
Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira · 2020
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Sct: Set constrained temporal transformer for set supervised action segmentation
Mohsen Fayyaz and Jurgen Gall · 2020
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Joint visual-temporal embedding for unsupervised learning of actions in untrimmed sequences
Rosaura G VidalMata, Walter J Scheirer, and Hilde Kuehne · 2021
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