Signs in time: Encoding human motion as a temporal image

Buehler, P., Everingham, M., Zisserman, A.: Learning sign language by watching TV (using weakly aligned subtitles). In: Proc. CVPR (2009)

2009

Earlier work this paper cites.

Ahad, M.A.R., Tan, J.K., Kim, H., Ishikawa, S.: Motion history image: its variants and applications. Machine Vision and Applications 23(2), 255–281 (2012)

2012

Earlier work this paper cites.

Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS. pp. 1106–1114 (2012)

2012

Earlier work this paper cites.

Pfister, T., Charles, J., Zisserman, A.: Large-scale learning of sign language by watching TV (using co-occurrences). In: Proc. BMVC. (2013)

2013

Earlier work this paper cites.

Pfister, T., Charles, J., Zisserman, A.: Domain-adaptive discriminative one-shot learning of gestures. In: Proc. ECCV (2014)

2014

Cited alongside, same era.

Pfister, T., Simonyan, K., Charles, J., Zisserman, A.: Deep convolutional neural networks for efficient pose estimation in gesture videos. In: Proc. ACCV (2014)

2014

Cited alongside, same era.

Simonyan, K., Vedaldi, A., Zisserman, A.: Deep inside convolutional networks: Visualising image classification models and saliency maps. In: Workshop at International Conference on Learning Representations (2014)

2014

Cited alongside, same era.

Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS (2014)

2014

Cited alongside, same era.

Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Is object localization for free? – weakly-supervised learning with convolutional neural networks. In: Proc. CVPR (2015)

2015

Later among the works it cites.

Papandreou, G., Kokkinos, I., Savalle, P.: Untangling local and global deformations in deep convolutional networks for image classification and sliding window detection. In: Proc. CVPR (2015)

2015

Later among the works it cites.

Pfister, T., Charles, J., Zisserman, A.: Flowing convnets for human pose estimation in videos. In: Proc. ICCV (2015)

2015

Later among the works it cites.

Bilen, H., Fernando, B., Gavves, E., Vedaldi, A., Gould, S.: Dynamic image networks for action recognition. In: Proc. CVPR (2016)

2016

Closest in time.