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FlowFormer introduces a transformer architecture into optical flow estimation and achieves state-of-the-art performance.
Determining optical flow
Berthold KP Horn and Brian G Schunck · 1981
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A framework for the robust estimation of optical flow
Michael J Black and Padmanabhan Anandan · 1993
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Lucas/kanade meets horn/schunck: Combining local and global optic flow methods
Andrés Bruhn, Joachim Weickert, and Christoph Schnörr · 2005
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A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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A quantitative analysis of current practices in optical flow estimation and the principles behind them
Deqing Sun, Stefan Roth, and Michael J Black · 2014
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driving
Daniel Kondermann, Rahul Nair, Katrin Honauer, Karsten Krispin, Jonas Andrulis, Alexander Brock, Burkhard Gussefeld, Mohsen Rahimimoghaddam, Sabine Hofmann, Claus Brenner, et al · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
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Submanifold sparse convolutional networks
Benjamin Graham and Laurens van der Maaten · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
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Optical flow estimation using a spatial pyramid network
Anurag Ranjan and Michael J Black · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Flow-guided feature aggregation for video object detection
Xizhou Zhu, Yujie Wang, Jifeng Dai, Lu Yuan, and Yichen Wei · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Liteflownet: A lightweight convolutional neural network for optical flow estimation
Tak-Wai Hui, Xiaoou Tang, and Chen Change Loy · 2018
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Sbnet: Sparse blocks network for fast inference
Mengye Ren, Andrei Pokrovsky, Bin Yang, and Raquel Urtasun · 2018
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Frame-recurrent video super-resolution
Mehdi SM Sajjadi, Raviteja Vemulapalli, and Matthew Brown · 2018
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Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Optical flow guided feature: A fast and robust motion representation for video action recognition
Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, and Wei Zhang · 2018
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Fully motion-aware network for video object detection
Shiyao Wang, Yucong Zhou, Junjie Yan, and Zhidong Deng · 2018
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Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
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Towards high performance video object detection
Xizhou Zhu, Jifeng Dai, Lu Yuan, and Yichen Wei · 2018
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
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Deep video inpainting
Dahun Kim, Sanghyun Woo, Joon-Young Lee, and In So Kweon · 2019
Cited alongside, same era.
Representation flow for action recognition
AJ Piergiovanni and Michael S Ryoo · 2019
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Learning to estimate hidden motions with global motion aggregation
Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, and Richard Hartley · 2021
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Learning optical flow from a few matches
Shihao Jiang, Yao Lu, Hongdong Li, and Richard Hartley · 2021
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Fuseformer: Fusing fine-grained information in transformers for video inpainting
Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, and Hongsheng Li · 2021
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Oiflow: Occlusion-inpainting optical flow estimation by unsupervised learning
Shuaicheng Liu, Kunming Luo, Nianjin Ye, Chuan Wang, Jue Wang, and Bing Zeng · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2019
Cited alongside, same era.
Deep flow-guided video inpainting
Rui Xu, Xiaoxiao Li, Bolei Zhou, and Chen Change Loy · 2019
Cited alongside, same era.
Volumetric correspondence networks for optical flow
Gengshan Yang and Deva Ramanan · 2019
Cited alongside, same era.
Hierarchical discrete distribution decomposition for match density estimation
Zhichao Yin, Trevor Darrell, and Fisher Yu · 2019
Cited alongside, same era.
Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Flow-edge guided video completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, and Johannes Kopf · 2020
Cited alongside, same era.
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Upflow: Upsampling pyramid for unsupervised optical flow learning
Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, and Jian Sun · 2021
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Smurf: Self-teaching multi-frame unsupervised raft with full-image warping
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, and Rico Jonschkowski · 2021
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Autoflow: Learning a better training set for optical flow
Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T Freeman, and Ce Liu · 2021
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High-resolution optical flow from 1d attention and correlation
Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, and Xin Tong · 2021
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Separable flow: Learning motion cost volumes for optical flow estimation
Feihu Zhang, Oliver J Woodford, Victor Adrian Prisacariu, and Philip HS Torr · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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Convmae: Masked convolution meets masked autoencoders
Peng Gao, Teli Ma, Hongsheng Li, Jifeng Dai, and Yu Qiao · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Flowformer: A transformer architecture for optical flow
Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2022
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Masked autoencoders for point cloud self-supervised learning
Yatian Pang, Wenxiao Wang, Francis EH Tay, Wei Liu, Yonghong Tian, and Li Yuan · 2022
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Craft: Cross-attentional flow transformer for robust optical flow
Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, and Hongyuan Zhu · 2022
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Skflow: Learning optical flow with super kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu, Guodong Guo, and Ge Li · 2022
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Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Zhan Tong, Yibing Song, Jue Wang, and Limin Wang · 2022
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Simmim: A simple framework for masked image modeling
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, and Han Hu · 2022
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Gmflow: Learning optical flow via global matching
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, and Dacheng Tao · 2022
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Point-bert: Pre-training 3d point cloud transformers with masked point modeling
Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, and Jiwen Lu · 2022
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Global matching with overlapping attention for optical flow estimation
Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, and Dimitris Metaxas · 2022
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