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Deep convolutional neutral networks have achieved great success on image recognition tasks.
Determining optical flow
B. K. Horn and B. G. Schunck · 1981
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Slow feature analysis: Unsupervised learning of invariances
L. Wiskott and T. J. Sejnowski · 2002
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High accuracy optical flow estimation based on a theory for warping
T. Brox, A. Bruhn, N. Papenberg, and J. Weickert · 2004
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A survey on variational optic flow methods for small displacements
J. Weickert, A. Bruhn, T. Brox, and N. Papenberg · 2006
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Sift flow: dense correspondence across difference scenes
C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. T. Freeman · 2008
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Large displacement optical flow: Descriptor matching in variational motion estimation
T. Brox and J. Malik · 2011
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Discriminative image warping with attribute flow
W. Zhang, P. Srinivasan, and J. Shi · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Indoor segmentation and support inference from rgbd images
P. K. Nathan Silberman, Derek Hoiem and R. Fergus · 2012
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Slow feature analysis for human action recognition
Z. Zhang and D. Tao · 2012
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Deep learning of invariant features via simulated fixations in video
W. Zou, S. Zhu, K. Yu, and A. Y. Ng · 2012
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A unified video segmentation benchmark: Annotation, metrics and analysis
F. Galasso, N. Shankar Nagaraja, T. Jimenez Cardenas, T. Brox, and B. Schiele · 2013
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DeepFlow: Large displacement optical flow with deep matching
P. Weinzaepfel, J. Revaud, Z. Harchaoui, and C. Schmid · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2014
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Dl-sfa: deeply-learned slow feature analysis for action recognition
L. Sun, K. Jia, T.-H. Chan, Y. Fang, G. Wang, and S. Yan · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Semantic image segmentation with deep convolutional nets and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2015
Earlier work this paper cites.
Binaryconnect: Training deep neural networks with binary weights during propagations
M. Courbariaux, Y. Bengio, and J.-P. David · 2015
Cited alongside, same era.
Flownet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Hausser, C. Hazirbas, and V. Golkov · 2015
Cited alongside, same era.
Fast R-CNN
R. Girshick · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Closest in time.
R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Closest in time.
STFCN: spatio-temporal FCN for semantic video segmentation
M. Fayyaz, M. H. Saffar, M. Sabokrou, M. Fathy, and R. Klette · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Closest in time.
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio · 2016
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Joint optical flow and temporally consistent semantic segmentation
J. Hur and S. Roth · 2016
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Deepid-net: Deformable deep convolutional neural networks for object detection
W. Ouyang, X. Wang, X. Zeng, S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, and C.-C. Loy · 2015
Cited alongside, same era.
Spatio-temporal video autoencoder with differentiable memory
V. Patraucean, A. Handa, and R. Cipolla · 2015
Cited alongside, same era.
Flowing convnets for human pose estimation in videos
T. Pfister, J. Charles, and A. Zisserman · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow
J. Revaud, P. Weinzaepfel, Z. Harchaoui, and C. Schmid · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Closest in time.
Slow and steady feature analysis: higher order temporal coherence in video
D. Jayaraman and K. Grauman · 2016
Closest in time.
T-cnn: Tubelets with convolutional neural networks for object detection from videos
K. Kang, H. Li, J. Yan, X. Zeng, B. Yang, T. Xiao, C. Zhang, Z. Wang, R. Wang, and X. Wang · 2016
Closest in time.
Feature space optimization for semantic video segmentation
A. Kundu, V. Vineet, and V. Koltun · 2016
Closest in time.
Multi-class multi-object tracking using changing point detection
B. Lee, E. Erdenee, S. Jin, and P. K. Rhee · 2016
Closest in time.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. Reed · 2016
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Optical flow estimation using a spatial pyramid network
A. Ranjan and M. J. Black · 2016
Closest in time.
Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
Closest in time.
Optical flow with semantic segmentation and localized layers
L. Sevilla-Lara, D. Sun, V. Jampani, and M. J. Black · 2016
Closest in time.
Clockwork convnets for video semantic segmentation
E. Shelhamer, K. Rakelly, J. Hoffman, and T. Darrell · 2016
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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Craft objects from images
B. Yang, J. Yan, Z. Lei, and S. Z. Li · 2016
Closest in time.