Fetching the paper…
Reading the bibliography…
Human body part parsing, or human semantic part segmentation, is fundamental to many computer vision tasks.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Interactive grasp learning based on human demonstration
S. Ekvall and D. Kragic · 2004
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
Learning human activities and object affordances from rgb-d videos
H. S. Koppula, R. Gupta, and A. Saxena · 2013
Earlier work this paper cites.
Human pose estimation using a joint pixel-wise and part-wise formulation
L. Ladicky, P. H. Torr, and A. Zisserman · 2013
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
Earlier work this paper cites.
Detect what you can: Detecting and representing objects using holistic models and body parts
X. Chen, R. Mottaghi, X. Liu, S. Fidler, R. Urtasun, and A. Yuille · 2014
Earlier work this paper cites.
Enriching visual knowledge bases via object discovery and segmentation
X. Chen, A. Shrivastava, and A. Gupta · 2014
Earlier work this paper cites.
Towards unified human parsing and pose estimation
J. Dong, Q. Chen, X. Shen, J. Yang, and S. Yan · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Fully convolutional multi-class multiple instance learning
D. Pathak, E. Shelhamer, J. Long, and T. Darrell · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2015
Cited alongside, same era.
Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
Cited alongside, same era.
The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
Cited alongside, same era.
Actions and attributes from wholes and parts
G. Gkioxari, R. Girshick, and J. Malik · 2015
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2016
Later among the works it cites.
Semantic object parsing with graph lstm
X. Liang, X. Shen, J. Feng, L. Lin, and S. Yan · 2016
Later among the works it cites.
Semantic object parsing with local-global long short-term memory
X. Liang, X. Shen, D. Xiang, J. Feng, L. Lin, and S. Yan · 2016
Later among the works it cites.
Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
D. Lin, J. Dai, J. Jia, K. He, and J. Sun · 2016
Later among the works it cites.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Later among the works it cites.
Zoom better to see clearer: Human and object parsing with hierarchical auto-zoom net
F. Xia, P. Wang, L.-C. Chen, and A. L. Yuille · 2016
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Weakly-and semi-supervised learning of a dcnn for semantic image segmentation
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille · 2015
Cited alongside, same era.
Semantic part segmentation using compositional model combining shape and appearance
J. Wang and A. L. Yuille · 2015
Cited alongside, same era.
What’s the point: Semantic segmentation with point supervision
A. Bearman, O. Russakovsky, V. Ferrari, and L. Fei-Fei · 2016
Cited alongside, same era.
Attention to scale: Scale-aware semantic image segmentation
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Detection, attribute classification and action recognition of people using poselets (in submission)
L. Bourdev, S. Maji, and J. Malik
Cited in the paper.
Later among the works it cites.
Pose-guided human parsing by an and/or graph using pose-context features
F. Xia, J. Zhu, P. Wang, and A. L. Yuille · 2016
Later among the works it cites.
RMPE: Regional multi-person pose estimation
H.-S. Fang, S. Xie, Y.-W. Tai, and C. Lu · 2017
Later among the works it cites.
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
K. Gong, X. Liang, X. Shen, and L. Lin · 2017
Later among the works it cites.
Interpretable structure-evolving lstm
X. Liang, L. Lin, X. Shen, J. Feng, S. Yan, and E. P. Xing · 2017
Later among the works it cites.
Joint multi-person pose estimation and semantic part segmentation
F. Xia, P. Wang, X. Chen, and A. Yuille · 2017
Later among the works it cites.