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Human parsing is attracting increasing research attention.
Detect what you can: Detecting and representing objects using holistic models and body parts
Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.: · 1978
Earlier work this paper cites.
A system for video surveillance and monitoring
Collins, R.T., Lipton, A.J., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., et al.: · 2000
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
Lafferty, J., McCallum, A., Pereira, F.C.: · 2001
Earlier work this paper cites.
Progressive search space reduction for human pose estimation
Ferrari, V., Marin-Jimenez, M., Zisserman, A.: · 2008
Earlier work this paper cites.
Contour detection and hierarchical image segmentation
Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: · 2011
Earlier work this paper cites.
Human instance segmentation from video using detector-based conditional random fields
Vineet, V., Warrell, J., Ladicky, L., Torr, P.H.: · 2011
Earlier work this paper cites.
Efficient inference in fully connected crfs with gaussian edge potentials
Krähenbühl, P., Koltun, V.: · 2011
Earlier work this paper cites.
Parsing clothing in fashion photographs
Yamaguchi, K., Kiapour, M.H., Ortiz, L.E., Berg, T.L.: · 2012
Earlier work this paper cites.
A deformable mixture parsing model with parselets
Dong, J., Chen, Q., Xia, W., Huang, Z., Yan, S.: · 2013
Earlier work this paper cites.
Modec: Multimodal decomposable models for human pose estimation
Sapp, B., Taskar, B.: · 2013
Earlier work this paper cites.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
Earlier work this paper cites.
Simultaneous detection and segmentation
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: · 2014
Earlier work this paper cites.
Proposal-free network for instance-level object segmentation
Liang, X., Wei, Y., Shen, X., Yang, J., Lin, L., Yan, S.: · 2015
Earlier work this paper cites.
Deep human parsing with active template regression
Liang, X., Liu, S., Shen, X., Yang, J., Liu, L., Dong, J., Lin, L., Yan, S.: · 2015
Earlier work this paper cites.
Human parsing with contextualized convolutional neural network
Liang, X., Xu, C., Shen, X., Yang, J., Liu, S., Tang, J., Lin, L., Yan, S.: · 2015
Earlier work this paper cites.
Matching-cnn meets knn: Quasi-parametric human parsing
Liu, S., Liang, X., Liu, L., Shen, X., Yang, J., Xu, C., Lin, L., Cao, X., Yan, S.: · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., Chintala, S.: · 2015
Cited alongside, same era.
The pascal visual object classes challenge: A retrospective
Everingham, M., Eslami, S.A., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: · 2015
Cited alongside, same era.
Beyond frontal faces: Improving person recognition using multiple cues
Ning, Z., Manohar, P., Yaniv, T., Rob, F., Lubomir, B.: · 2015
Cited alongside, same era.
From facial expression recognition to interpersonal relation prediction
Zhanpeng, Z., Ping, L., Change Loy, C., Xiaoou, T.: · 2016
Later among the works it cites.
Semi-supervised classification with graph convolutional networks
Kipf, T.N., Welling, M.: · 2016
Later among the works it cites.
Convolutional neural networks on graphs with fast localized spectral filtering
Defferrard, M., Bresson, X., Vandergheynst, P.: · 2016
Later among the works it cites.
Look into person: Self-supervised structure-sensitive learning and a new benchmark for human parsing
Gong, K., Liang, X., Shen, X., Lin, L.: · 2017
Closest in time.
Holistic, instance-level human parsing
Li, Q., Arnab, A., Torr, P.H.: · 2017
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Chu, X., Ouyang, W., Yang, W., Wang, X.: · 2015
Cited alongside, same era.
Gated graph sequence neural networks
Li, Y., Tarlow, D., Brockschmidt, M., Zemel, R.: · 2015
Cited alongside, same era.
A virtual reality platform for dynamic human-scene interaction
Lin, J., Guo, X., Shao, J., Jiang, C., Zhu, Y., Zhu, S.C.: · 2016
Cited alongside, same era.
Concepts not alone: Exploring pairwise relationships for zero-shot video activity recognition
Gan, C., Lin, M., Yang, Y., de Melo, G., Hauptmann, A.G.: · 2016
Cited alongside, same era.
Instance-aware semantic segmentation via multi-task network cascades
Dai, J., He, K., Sun, J.: · 2016
Cited alongside, same era.
Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: · 2016
Cited alongside, same era.
Semantic object parsing with local-global long short-term memory
Liang, X., Shen, X., Xiang, D., Feng, J., Lin, L., Yan, S.: · 2016
Cited alongside, same era.
Closest in time.
Detangling people: Individuating multiple close people and their body parts via region assembly
Jiang, H., Grauman, K.: · 2017
Closest in time.
Mask r-cnn
He, K., Gkioxari, G., Dollár, P., Girshick, R.: · 2017
Closest in time.
Semantic instance segmentation with a discriminative loss function
De Brabandere, B., Neven, D., Van Gool, L.: · 2017
Closest in time.
Fast scene understanding for autonomous driving
Neven, D., De Brabandere, B., Georgoulis, S., Proesmans, M., Van Gool, L.: · 2017
Closest in time.
Wasserstein generative adversarial networks
Arjovsky, M., Chintala, S., Bottou, L.: · 2017
Closest in time.
Huang, R., Zhang, S., Li, T., He, R.: · 2017
Closest in time.
Dynamic graph convolutional networks
Manessi, F., Rozza, A., Manzo, M.: · 2017
Closest in time.
A structured self-attentive sentence embedding
Lin, Z., Feng, M., Santos, C.N.d., Yu, M., Xiang, B., Zhou, B., Bengio, Y.: · 2017
Closest in time.
Pixelwise instance segmentation with a dynamically instantiated network
Arnab, A., Torr, P.H.: · 2017
Closest in time.
Detectron
Ross, G., Ilija, R., Georgia, G., Piotr, D., Kaiming, H.: · 2018
Closest in time.