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We introduce associative embedding, a novel method for supervising convolutional neural networks for the task of detection and grouping.
Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 2000
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Distance metric learning for large margin nearest neighbor classification
Kilian Q Weinberger, John Blitzer, and Lawrence K Saul · 2005
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Learning globally-consistent local distance functions for shape-based image retrieval and classification
Andrea Frome, Yoram Singer, Fei Sha, and Jitendra Malik · 2007
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A tutorial on spectral clustering
Ulrike Von Luxburg · 2007
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Bottom-up/top-down image parsing with attribute grammar
Feng Han and Song-Chun Zhu · 2009
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Angular embedding: from jarring intensity differences to perceived luminance
X Yu Stella · 2009
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Simultaneous segmentation and figure/ground organization using angular embedding
Michael Maire · 2010
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Torch7: A matlab-like environment for machine learning
Ronan Collobert, Koray Kavukcuoglu, and Clément Farabet · 2011
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Efficient inference in fully connected crfs with gaussian edge potentials
Vladlen Koltun · 2011
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Object detection and segmentation from joint embedding of parts and pixels
Michael Maire, X Yu Stella, and Pietro Perona · 2011
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Devise: A deep visual-semantic embedding model
Andrea Frome, Greg S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Tomas Mikolov, et al · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Poselet conditioned pictorial structures
Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler, and Bernt Schiele · 2013
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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Improving image-sentence embeddings using large weakly annotated photo collections
Yunchao Gong, Liwei Wang, Micah Hodosh, Julia Hockenmaier, and Svetlana Lazebnik · 2014
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Simultaneous detection and segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
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Distributed representations of sentences and documents
Quoc V Le and Tomas Mikolov · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun, and Christoph Bregler · 2014
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Deeppose: Human pose estimation via deep neural networks
Alexander Toshev and Christian Szegedy · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
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Convolutional feature masking for joint object and stuff segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Instance-aware semantic segmentation via multi-task network cascades
Rmpe: Regional multi-person pose estimation
Haoshu Fang, Shuqin Xie, Yuwing Tai, and Cewu Lu · 2016
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Chained predictions using convolutional neural networks
G. Gkioxari, A. Toshev, and N. Jaitly · 2016
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Learning dense convolutional embeddings for semantic segmentation
Adam W Harley, Konstantinos G Derpanis, and Iasonas Kokkinos · 2016
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Bottom-up and top-down reasoning with hierarchical rectified gaussians
Peiyun Hu and Deva Ramanan · 2016
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Articulated multi-person tracking in the wild
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Bjoern Andres, and Bernt Schiele · 2016
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Jifeng Dai, Kaiming He, and Jian Sun · 2015
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The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Ali Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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Combining local appearance and holistic view: Dual-source deep neural networks for human pose estimation
Xiaochuan Fan, Kang Zheng, Yuewei Lin, and Song Wang · 2015
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Deformable part models are convolutional neural networks
Ross Girshick, Forrest Iandola, Trevor Darrell, and Jitendra Malik · 2015
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Hypercolumns for object segmentation and fine-grained localization
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2015
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Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei · 2015
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Learning to segment object candidates
Pedro O Pinheiro, Ronan Collobert, and Piotr Dollar · 2015
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Efficient object localization using convolutional networks
Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, and Christoph Bregler · 2015
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
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Multi-person pose estimation with local joint-to-person associations
Umar Iqbal and Juergen Gall · 2016
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Human pose estimation using deep consensus voting
Ita Lifshitz, Ethan Fetaya, and Shimon Ullman · 2016
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Multi-scale patch aggregation (mpa) for simultaneous detection and segmentation
Shu Liu, Xiaojuan Qi, Jianping Shi, Hong Zhang, and Jiaya Jia · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Deepcut: Joint subset partition and labeling for multi person pose estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang, Bjoern Andres, Mykhaylo Andriluka, Peter Gehler, and Bernt Schiele · 2016
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Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
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Multi-context attention for human pose estimation
Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L Yuille, and Xiaogang Wang · 2017
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Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Joint graph decomposition & node labeling: Problem, algorithms, applications
Evgeny Levinkov, Jonas Uhrig, Siyu Tang, Mohamed Omran, Eldar Insafutdinov, Alexander Kirillov, Carsten Rother, Thomas Brox, Bernt Schiele, and Bjoern Andres · 2017
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Knowledge-guided deep fractal neural networks for human pose estimation
Guanghan Ning, Zhi Zhang, and Zhihai He · 2017
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Towards accurate multi-person pose estimation in the wild
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy · 2017
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