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Fine-grained action segmentation and recognition is an important yet challenging task.
K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation
M. Aharon, M. Elad, and A. M. Bruckstein · 2006
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Cutting-plane training of structural SVMs
T. Joachims, T. Finley, and C.-N. J. Yu · 2009
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Supervised dictionary learning
J. Mairal, J. Ponce, G. Sapiro, A. Zisserman, and F. R. Bach · 2009
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Learning mid-level features for recognition
Y.-L. Boureau, F. Bach, Y. LeCun, and J. Ponce · 2010
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Max-margin dictionary learning for multiclass image categorization
X.-C. Lian, Z. Li, B.-L. Lu, and L. Zhang · 2010
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Online learning for matrix factorization and sparse coding
J. Mairal, F. Bach, J. Ponce, and G. Sapiro · 2010
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Supervised translation-invariant sparse coding
J. Yang, K. Yu, and T. Huang · 2010
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The importance of encoding versus training with sparse coding and vector quantization
A. Coates and A. Y. Ng · 2011
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Learning a discriminative dictionary for sparse coding via label consistent K-SVD
Z. Jiang, Z. Lin, and L. S. Davis · 2011
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Surgical gesture classification from video data
B. Béjar, L. Zappella, and R. Vidal · 2012
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Task-driven dictionary learning
J. Mairal, F. Bach, and J. Ponce · 2012
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A database for fine grained activity detection of cooking activities
M. Rohrbach, S. Amin, M. Andriluka, and B. Schiele · 2012
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Sparse hidden Markov models for surgical gesture classification and skill evaluation
L. Tao, E. Elhamifar, S. Khudanpur, G. Hager, and R. Vidal · 2012
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Top-down visual saliency via joint CRF and dictionary learning
J. Yang and M.-H. Yang · 2012
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Multipath sparse coding using hierarchical matching pursuit
L. Bo, X. Ren, and D. Fox · 2013
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Learning human activities and object affordances from RGB-D videos
H. S. Koppula, R. Gupta, and A. Saxena · 2013
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Action and event recognition with Fisher vectors on a compact feature set
D. Oneata, J. Verbeek, and C. Schmid · 2013
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Combining embedded accelerometers with computer vision for recognizing food preparation activities
S. Stein and S. J. McKenna · 2013
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Segmentation and recognition of surgical gestures from kinematic and video data
L. Tao, L. Zappella, G. Hager, and R. Vidal · 2013
Watch-n-patch: Unsupervised understanding of actions and relations
C. Wu, J. Zhang, S. Savarese, and A. Saxena · 2015
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Online action detection
R. De Geest, E. Gavves, A. Ghodrati, Z. Li, C. Snoek, and T. Tuytelaars · 2016
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Recognizing surgical activities with recurrent neural networks
R. DiPietro, C. Lea, A. Malpani, N. Ahmidi, S. S. Vedula, G. I. Lee, M. R. Lee, and G. D. Hager · 2016
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An end-to-end generative framework for video segmentation and recognition
H. Kuehne, J. Gall, and T. Serre · 2016
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Learning convolutional action primitives for fine-grained action recognition
C. Lea, R. Vidal, and G. D. Hager · 2016
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Temporal convolutional networks: A unified approach to action segmentation
C. Lea, R. Vidal, A. Reiter, and G. D. Hager · 2016
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Cited alongside, same era.
JHU-ISI gesture and skill assessment working set (JIGSAWS): a surgical activity dataset for human motion modeling
Y. Gao, S. S. Vedula, C. E. Reiley, N. Ahmidi, B. Varadarajan, H. C. Lin, L. Tao, L. Zappella, B. Béjar, D. D. Yuh, C. Chiung, G. Chen, R. Vidal, S. Khudanpur, and G. D. Hager · 2014
Cited alongside, same era.
The language of actions: Recovering the syntax and semantics of goal-directed human activities
H. Kuehne, A. Arslan, and T. Serre · 2014
Cited alongside, same era.
Discriminative hierarchical modeling of spatio-temporally composable human activities
I. Lillo, A. Soto, and J. C. Niebles · 2014
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Sparse dictionaries for semantic segmentation
L. Tao, F. Porikli, and R. Vidal · 2014
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From stochastic grammar to bayes network: Probabilistic parsing of complex activity
N. N. Vo and A. F. Bobick · 2014
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An improved model for segmentation and recognition of fine-grained activities with application to surgical training tasks
C. Lea, G. D. Hager, and R. Vidal · 2015
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Sparse coding for classification via discrimination ensemble
Y. Quan, Y. Xu, Y. Sun, Y. Huang, and H. Ji · 2016
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Temporal action detection using a statistical language model
A. Richard and J. Gall · 2016
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A dataset and benchmarks for segmentation and recognition of gestures in robotic surgery
N. Ahmidi, L. Tao, S. Sefati, Y. Gao, C. Lea, B. Béjar, L. Zappella, S. Khudanpur, R. Vidal, and G. D. Hager · 2017
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Temporal convolutional networks for action segmentation and detection
C. Lea, M. Flynn, R. Vidal, A. Reiter, and G. Hager · 2017
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Pku-mmd: A large scale benchmark for continuous multi-modal human action understanding
C. Liu, Y. Hu, Y. Li, S. Song, and J. Liu · 2017
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Weakly supervised action learning with RNN based fine-to-coarse modeling
A. Richard, H. Kuehne, and J. Gall · 2017
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Top-down visual saliency via joint CRF and dictionary learning
J. Yang and M.-H. Yang · 2017
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