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We use large amounts of unlabeled video to learn models for visual tracking without manual human supervision.
Transferring color to greyscale images
Welsh, T., Ashikhmin, M., Mueller, K.: · 2002
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Colorization by example
Ironi, R., Cohen-Or, D., Lischinski, D.: · 2005
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Fast image and video colorization using chrominance blending
Yatziv, L., Sapiro, G.: · 2006
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Intrinsic colorization
Liu, X., Wan, L., Qu, Y., Wong, T.T., Lin, S., Leung, C.S., Heng, P.A.: · 2008
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Image and video colorization based on prioritized source propagation
Heu, J.H., Hyun, D.Y., Kim, C.S., Lee, S.U.: · 2009
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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Beyond pixels: exploring new representations and applications for motion analysis
Liu, C., et al.: · 2009
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Label propagation in video sequences
Badrinarayanan, V., Galasso, F., Cipolla, R.: · 2010
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Efficient hierarchical graph-based video segmentation
Grundmann, M., Kwatra, V., Han, M., Essa, I.: · 2010
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Object segmentation by long term analysis of point trajectories
Brox, T., Malik, J.: · 2010
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Semantic colorization with internet images
Chia, A.Y.S., Zhuo, S., Gupta, R.K., Tai, Y.W., Cho, S.Y., Tan, P., Lin, S.: · 2011
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Image colorization using similar images
Gupta, R.K., Chia, A.Y.S., Rajan, D., Ng, E.S., Zhiyong, H.: · 2012
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Active frame selection for label propagation in videos
Vijayanarasimhan, S., Grauman, K.: · 2012
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Evaluation of super-voxel methods for early video processing
Xu, C., Corso, J.J.: · 2012
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Video segmentation by tracing discontinuities in a trajectory embedding
Fragkiadaki, K., Zhang, G., Shi, J.: · 2012
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Towards understanding action recognition
Jhuang, H., Gall, J., Zuffi, S., Schmid, C., Black, M.J.: · 2013
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Articulated human detection with flexible mixtures of parts
Yang, Y., Ramanan, D.: · 2013
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Seamseg: Video object segmentation using patch seams
Ramakanth, S.A., Babu, R.V.: · 2014
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Microsoft coco: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
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Video segmentation by non-local consensus voting
Faktor, A., Irani, M.: · 2014
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Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K., Bengio, Y.: · 2014
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Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.: · 2014
Cited alongside, same era.
Unsupervised visual representation learning by context prediction
Doersch, C., Gupta, A., Efros, A.A.: · 2015
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Learning image representations tied to ego-motion
Jayaraman, D., Grauman, K.: · 2015
Cited alongside, same era.
Unsupervised learning of visual representations using videos
Wang, X., Gupta, A.: · 2015
Cited alongside, same era.
Bilateral space video segmentation
Märki, N., Perazzi, F., Wang, O., Sorkine-Hornung, A.: · 2016
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Matching networks for one shot learning
Vinyals, O., Blundell, C., Lillicrap, T., Wierstra, D., et al.: · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
Perazzi, F., Pont-Tuset, J., McWilliams, B., Van Gool, L., Gross, M., Sorkine-Hornung, A.: · 2016
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The kinetics human action video dataset
Kay, W., Carreira, J., Simonyan, K., Zhang, B., Hillier, C., Vijayanarasimhan, S., Viola, F., Green, T., Back, T., Natsev, P., Suleyman, M., Zisserman, A.: · 2017
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Learning large-scale automatic image colorization
Deshpande, A., Rock, J., Forsyth, D.: · 2015
Cited alongside, same era.
Fully connected object proposals for video segmentation
Perazzi, F., Wang, O., Gross, M., Sorkine-Hornung, A.: · 2015
Cited alongside, same era.
Pointer networks
Vinyals, O., Fortunato, M., Jaitly, N.: · 2015
Cited alongside, same era.
Ambient sound provides supervision for visual learning
Owens, A., Wu, J., McDermott, J.H., Freeman, W.T., Torralba, A.: · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: · 2016
Cited alongside, same era.
Generating videos with scene dynamics
Vondrick, C., Pirsiavash, H., Torralba, A.: · 2016
Cited alongside, same era.
Unsupervised learning of visual representations by solving jigsaw puzzles
Noroozi, M., Favaro, P.: · 2016
Cited alongside, same era.
Pont-Tuset, J., Caelles, S., Perazzi, F., Montes, A., Maninis, K.K., Chen, Y., Van Gool, L.: · 2017
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Multi-task self-supervised visual learning
Doersch, C., Zisserman, A.: · 2017
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Transitive invariance for self-supervised visual representation learning
Wang, X., He, K., Gupta, A.: · 2017
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Colorization as a proxy task for visual understanding
Larsson, G., Maire, M., Shakhnarovich, G.: · 2017
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Learning features by watching objects move
Pathak, D., Girshick, R., Dollár, P., Darrell, T., Hariharan, B.: · 2017
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Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: · 2017
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Self-supervised learning of motion capture
Tung, H.Y., Tung, H.W., Yumer, E., Fragkiadaki, K.: · 2017
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Unsupervised learning of depth and ego-motion from video
Zhou, T., Brown, M., Snavely, N., Lowe, D.G.: · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: · 2017
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Pixcolor: Pixel recursive colorization
Guadarrama, S., Dahl, R., Bieber, D., Norouzi, M., Shlens, J., Murphy, K.: · 2017
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One-shot video object segmentation
Caelles, S., Maninis, K.K., Pont-Tuset, J., Leal-Taixé, L., Cremers, D., Van Gool, L.: · 2017
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Learning video object segmentation from static images
Perazzi, F., Khoreva, A., Benenson, R., Schiele, B., Sorkine-Hornung, A.: · 2017
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Lucid data dreaming for multiple object tracking
Khoreva, A., Benenson, R., Ilg, E., Brox, T., Schiele, B.: · 2017
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Switchable temporal propagation network
Liu, S., Zhong, G., De Mello, S., Gu, J., Yang, M.H., Kautz, J.: · 2018
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Efficient video object segmentation via network modulation
Yang, L., Wang, Y., Xiong, X., Yang, J., Katsaggelos, A.K.: · 2018
Closest in time.