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Predicting the future is an important aspect for decision-making in robotics or autonomous driving systems, which heavily rely upon visual scene understanding.
Fine-grained segmentation using hierarchical dilated neural networks
Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, and Dinggang Shen · 1904
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Learning to forget: Continual prediction with lstm
Felix A Gers, Jürgen Schmidhuber, and Fred Cummins · 1999
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A new approach for vehicle detection in congested traffic scenes based on strong shadow segmentation
Ehsan Adeli Mosabbeb, Maryam Sadeghi, and Mahmoud Fathy · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Semantic segmentation of urban scenes using dense depth maps
Chenxi Zhang, Liang Wang, and Ruigang Yang · 2010
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Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
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Socially-aware large-scale crowd forecasting
Alexandre Alahi, Vignesh Ramanathan, and Li Fei-Fei · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Predicting failures of vision systems
Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, and Devi Parikh · 2014
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
SHI Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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R-fcn: Object detection via region-based fully convolutional networks
Jifeng Dai, Yi Li, Kaiming He, and Jian Sun · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, and Koray Kavukcuoglu · 2016
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Feature space optimization for semantic video segmentation
Abhijit Kundu, Vibhav Vineet, and Vladlen Koltun · 2016
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On human motion prediction using recurrent neural networks
Julieta Martinez, Michael J Black, and Javier Romero · 2017
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Visual forecasting by imitating dynamics in natural sequences
Kuo-Hao Zeng, William B Shen, De-An Huang, Min Sun, and Juan Carlos Niebles · 2017
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Few-shot human motion prediction via meta-learning
Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, and José MF Moura · 2018
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Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
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The apolloscape dataset for autonomous driving
Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang · 2018
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Predicting future instance segmentations by forecasting convolutional features
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Michael Mathieu, Camille Couprie, and Yann LeCun · 2016
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Anticipating visual representations from unlabeled video
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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A multipath network for object detection
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O Pinheiro, Sam Gross, Soumith Chintala, and Piotr Dollár · 2016
Cited alongside, same era.
Segflow: Joint learning for video object segmentation and optical flow
Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, and Ming-Hsuan Yang · 2017
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Video scene parsing with predictive feature learning
Xiaojie Jin, Xin Li, Huaxin Xiao, Xiaohui Shen, Zhe Lin, Jimei Yang, Yunpeng Chen, Jian Dong, Luoqi Liu, Zequn Jie, et al · 2017
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Predicting scene parsing and motion dynamics in the future
Xiaojie Jin, Huaxin Xiao, Xiaohui Shen, Jimei Yang, Zhe Lin, Yunpeng Chen, Zequn Jie, Jiashi Feng, and Shuicheng Yan · 2017
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Fully convolutional instance-aware semantic segmentation
Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, and Yichen Wei · 2017
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Pauline Luc, Camille Couprie, Yann Lecun, and Jakob Verbeek · 2018
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Graph distillation for action detection with privileged information
Zelun Luo, Jun-Ting Hsieh, Lu Jiang, Juan Carlos Niebles, and Li Fei-Fei · 2018
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Future semantic segmentation with convolutional lstm
Seyed Shahabeddin Nabavi, Mrigank Rochan, and Yang Wang · 2018
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3-d fully convolutional networks for multimodal isointense infant brain image segmentation
Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, and Dinggang Shen · 2018
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D3d: Distilled 3d networks for video action recognition
Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, and Rahul Sukthankar · 2018
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Context encoding for semantic segmentation
Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, and Amit Agrawal · 2018
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Bayesian prediction of future street scenes using synthetic likelihoods
Apratim Bhattacharyya, Mario Fritz, and Bernt Schiele · 2019
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Action-agnostic human pose forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, and Juan Carlos Niebles · 2019
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