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Anticipating future events is an important prerequisite towards intelligent behavior.
Reinforcement learning: An introduction
Sutton, R., Barto, A.: · 1998
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
Martin, D., Fowlkes, C., Tal, D., Malik, J.: · 2001
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A comparison of image segmentation algorithms
Parntofaru, C., Hebert, M.: · 2005
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Comparing clusterings: An axiomatic view
Meilǎ, M.: · 2005
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Unsupervised segmentation of natural images via lossy data compression
Yang, A., Wright, J., Ma, Y., Sastry, S.: · 2008
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Activity forecasting
Kitani, K., Ziebart, B., Bagnell, J., Hebert, M.: · 2012
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Video (language) modeling: a baseline for generative models of natural videos
Ranzato, M., Szlam, A., Bruna, J., Mathieu, M., Collobert, R., Chopra, S.: · 2014
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A hierarchical representation for future action prediction
Lan, T., Chen, T.C., Savarese, S.: · 2014
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Microsoft COCO: common objects in context
Lin, T., Maire, M., Belongie, S., Bourdev, L., Girshick, R., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.: · 2014
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Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
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Auto-encoding variational Bayes
Kingma, D., Welling, M.: · 2014
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Unsupervised learning of video representations using LSTMs
Srivastava, N., Mansimov, E., Salakhutdinov, R.: · 2015
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Faster R-CNN: towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
Cited alongside, same era.
Finding action tubes
Gkioxari, G., Malik, J.: · 2015
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Deep multi-scale video prediction beyond mean square error
Mathieu, M., Couprie, C., LeCun, Y.: · 2016
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Long-term planning by short-term prediction
Shalev-Shwartz, S., Ben-Zrihem, N., Cohen, A., Shashua, A.: · 2016
Cited alongside, same era.
On the sample complexity of end-to-end training vs. semantic abstraction training
Shalev-Shwartz, S., Shashua, A.: · 2016
Cited alongside, same era.
An uncertain future: Forecasting from static images using variational autoencoders
Walker, J., Doersch, C., Gupta, A., Hebert, M.: · 2016
Cited alongside, same era.
Predicting deeper into the future of semantic segmentation
Luc, P., Neverova, N., Couprie, C., Verbeek, J., LeCun, Y.: · 2017
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Video pixel networks
Kalchbrenner, N., van den Oord, A., Simonyan, K., Danihelka, I., Vinyals, O., Graves, A., Kavukcuoglu, K.: · 2017
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Mask R-CNN
He, K., Gkioxari, G., Dollár, P., Girshick, R.: · 2017
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Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
Kokkinos, I.: · 2017
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Decomposing motion and content for natural video sequence prediction
Villegas, R., Yang, J., Hong, S., Lin, X., Lee, H.: · 2017
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Learning to generate long-term future via hierarchical prediction
Villegas, R., Yang, J., Zou, Y., Sohn, S., Lin, X., Lee, H.: · 2017
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Anticipating the future by watching unlabeled video
Vondrick, C., Pirsiavash, H., Torralba, A.: · 2016
Cited alongside, same era.
Recurrent instance segmentation
Romera-Paredes, B., Torr, P.: · 2016
Cited alongside, same era.
Learning to refine object segments
Pinheiro, P., Lin, T.Y., Collobert, R., Dollár, P.: · 2016
Cited alongside, same era.
The Cityscapes dataset for semantic urban scene understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: · 2016
Cited alongside, same era.
Multi-scale context aggregation by dilated convolutions
Yu, F., Koltun, V.: · 2016
Cited alongside, same era.
Full flow: Optical flow estimation by global optimization over regular grids
Chen, Q., Koltun, V.: · 2016
Cited alongside, same era.
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DESIRE: distant future prediction in dynamic scenes with interacting agents
Lee, N., Choi, W., Vernaza, P., Choy, C., Torr, P., Chandraker, M.: · 2017
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Learning to act by predicting the future
Dosovitskiy, A., Koltun, V.: · 2017
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Predicting scene parsing and motion dynamics in the future
Jin, X., Xiao, H., Shen, X., Yang, J., Lin, Z., Chen, Y., Jie, Z., Feng, J., Yan, S.: · 2017
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Deep watershed transform for instance segmentation
Bai, M., Urtasun, R.: · 2017
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Feature pyramid networks for object detection
Lin, T.Y., Dollár, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: · 2017
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