diff options
Diffstat (limited to 'site/datasets/unknown/leeds_sports_pose.json')
| -rw-r--r-- | site/datasets/unknown/leeds_sports_pose.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/leeds_sports_pose.json b/site/datasets/unknown/leeds_sports_pose.json index f4e53c6c..11a8d45f 100644 --- a/site/datasets/unknown/leeds_sports_pose.json +++ b/site/datasets/unknown/leeds_sports_pose.json @@ -1 +1 @@ -{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "citations": [{"id": "7ced78b7fba4b63803baf2547b475d0edbfe8490", "title": "Can 3D Pose Be Learned from 2D Projections Alone?", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.07182.pdf"], "doi": []}, {"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "title": "Space-Time Representation of People Based on 3D Skeletal Data: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.01006.pdf"], "doi": []}, {"id": "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "title": "Human parsing with a cascade of hierarchical poselet based pruners", "year": "2014", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890316", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890316", "http://doi.org/10.1109/ICME.2014.6890316"]}, {"id": "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "title": "Fine-tuning human pose estimations in videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477680", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477680", "http://doi.org/10.1109/WACV.2016.7477680"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "2ddfe58e6e62dbc96138d434761d0a8127382fb2", "title": "Learning Latent Representations of 3D Human Pose with Deep Neural Networks", "year": "2018", "pdf": ["https://infoscience.epfl.ch/record/252823/files/main_paper.pdf"], "doi": ["https://doi.org/10.1007/s11263-018-1066-6"]}, {"id": "e4df9b008050bdda42670c020d6ebc88b086e36d", "title": "Improve Accurate Pose Alignment and Action Localization by Dense Pose Estimation", "year": "2018", "pdf": ["https://ibug.doc.ic.ac.uk/media/uploads/documents/fg2018_dc_paper_8.1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373870", "http://doi.ieeecomputersociety.org/10.1109/FG.2018.00077", "http://doi.org/10.1109/FG.2018.00077"]}, {"id": "474c75016daf7324cee0b354cad5f657b59c1dcf", "title": "Image-Based Synthesis for Deep 3D Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.04216.pdf"], "doi": []}, {"id": "6801c8ea1fcb2f76799234a9a81c6199dd61b24c", "title": "Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.3399.pdf"], "doi": []}, {"id": "33919313bb3cf09b00f9fa2253b30af33a52bc51", "title": "Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.09346.pdf"], "doi": []}, {"id": "f26a8dcfbaf9f46c021c41a3545fcfa845660c47", "title": "Human Pose Regression by Combining Indirect Part Detection and Contextual Information", "year": "2017", "pdf": ["https://arxiv.org/pdf/1710.02322.pdf"], "doi": []}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6668ca5ab57d68070f90671a4f92a6bc25f80470", "title": "Measuring cues for stand-off deception detection based on full-body non-verbal features in body-worn cameras", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6668/ca5ab57d68070f90671a4f92a6bc25f80470.pdf"], "doi": []}, {"id": "17a85799c59c13f07d4b4d7cf9d7c7986475d01c", "title": "Extending Procrustes Analysis: Building Multi-view 2-D Models from 3-D Human Shape Samples", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/17a8/5799c59c13f07d4b4d7cf9d7c7986475d01c.pdf"], "doi": []}, {"id": "7d94103c5e3796721388200ddaf94ed6e984ab0f", "title": "Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578481"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "30c43c0eb26839541861819f420f1ac2dad0711c", "title": "A Human Body Part Segmentation Method Based on Markov Random Field", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414132"]}, {"id": "7902309d3c5ab2e1e3a1f08503dc39108e1639dc", "title": "Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.01984.pdf"], "doi": []}, {"id": "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "title": "A Generative Model of People in Clothing", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04098.pdf"], "doi": []}, {"id": "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "title": "3D Human Pose Estimation with Siamese Equivariant Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07217.pdf"], "doi": []}, {"id": "19f8f011516fe6ffa4ed74776a0149c9dbdc5ccf", "title": "Contextual Rescoring for Human Pose Estimation", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/e03a/e5093d15d7c81461e6eedb4f40940f73eec6.pdf"], "doi": []}, {"id": "39a76fdc4b2d4b9e8ef8f69a87d17ae930520acc", "title": "Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.01055.pdf"], "doi": []}, {"id": "39d6d71aec74a9a810239f04db2f8854d2f966eb", "title": "Articulated Pose Estimation with Global Body Orientation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281079"]}, {"id": "39a2cdee78bd671a4ef203aa703e05232840ad83", "title": "Stochastic Image Grammars for Human Pose Estimation", "year": "2013", "pdf": ["https://cloudfront.escholarship.org/dist/prd/content/qt4wb9q6wb/qt4wb9q6wb.pdf?t=npfjcg"], "doi": ["https://www.base-search.net/Record/545e3981940c3c1fcad59d6c1f9b666fb07b3c33471e24aebb6745b36693d02b"]}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "2236294e803316c5934fa387f27d128fa7819a03", "title": "Iterative Human Pose Estimation based on A New Part Appearance Model", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2236/294e803316c5934fa387f27d128fa7819a03.pdf"], "doi": []}, {"id": "69f097ceab54d580e7cc8eb52ee79ad2182c2686", "title": "Active Learning for Human Pose Estimation", "year": "2017", "pdf": ["http://calvin.inf.ed.ac.uk/wp-content/uploads/Publications/liu17iccv.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_Active_Learning_for_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237730", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.468", "http://doi.org/10.1109/ICCV.2017.468"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d", "title": "A Dual-Source Approach for 3D Human Pose Estimation from a Single Image", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.02883.pdf"], "doi": []}, {"id": "1ebf201b34d9687fa17e336a608ab43e466ca13f", "title": "Detecting Parts for Action Localization.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.06005.pdf"], "doi": []}, {"id": "2e3f24d9cdba1d0343248a81c13bca96db123c21", "title": "2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Eichner12/eichner12.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0524-9", "https://www.wikidata.org/entity/Q57588967"]}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "53695e2dfec6737d585dd4e53757f73d18bd5e01", "title": "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578335"]}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "72fe1d86581e4672a534852d1e4f4680811db074", "title": "Animated Pose Templates for Modeling and Detecting Human Actions", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI-AnimatedPose_template.pdf", "http://www.stat.ucla.edu/~sczhu/papers/PAMI-Animated_Pose_Template.pdf", "http://www.stat.ucla.edu/~xnie/xiaohannie_files/papers/PAMI-AnimatedPose_template.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574854", "http://doi.org/10.1109/TPAMI.2013.144", "https://www.ncbi.nlm.nih.gov/pubmed/24457502", "https://www.wikidata.org/entity/Q42639318"]}, {"id": "c930f860b783f811814feb3cf5905287a62f8050", "title": "Visual narratives : free-hand sketch for visual search and navigation of video", "year": "2016", "pdf": [], "doi": []}, {"id": "3adbf4ed5e4e3f59afb7509119667c8701c7cf37", "title": "Activity-Conditioned Continuous Human Pose Estimation for Performance Analysis of Athletes Using the Example of Swimming", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.00634.pdf"], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "413a184b584dc2b669fbe731ace1e48b22945443", "title": "Human Pose Co-Estimation and Applications", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner-techreport11.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/eichner12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00911.pdf", "https://www.research.ed.ac.uk/portal/files/17356222/eichner_and_ferrari_2012_human_pose_co_estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180176", "http://doi.org/10.1109/TPAMI.2012.85", "https://www.ncbi.nlm.nih.gov/pubmed/22487983", "https://www.wikidata.org/entity/Q51384961"]}, {"id": "2bfe6128731674488249316cd2db83fe9045278d", "title": "Real-time Human Pose Estimation with Convolutional Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2bfe/6128731674488249316cd2db83fe9045278d.pdf"], "doi": []}, {"id": "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "title": "Human Pose Estimation Using Deep Structure Guided Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926724", "http://doi.org/10.1109/WACV.2017.141"]}, {"id": "5cb343e447c7fd933ff8f57fc9c99c5673cad97d", "title": "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.02046.pdf"], "doi": []}, {"id": "a3f8e386771b59a1dfc7bbea83a78a7c0b82b5c5", "title": "Towards Detecting and Describing Objects: Object Detection, Parsing and Human Pose Estimation", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a3f8/e386771b59a1dfc7bbea83a78a7c0b82b5c5.pdf"], "doi": []}, {"id": "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "title": "Generating Human Images and Ground Truth using Computer Graphics", "year": "2016", "pdf": [], "doi": []}, {"id": "08847df8ea5b22c6a2d6d75352ef6270f53611de", "title": "Using k-Poselets for Detecting People and Localizing Their Keypoints", "year": "2014", "pdf": ["http://home.bharathh.info/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~gkioxari/cv-us.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Gkioxari_Using_k-Poselets_for_2014_CVPR_paper.pdf", "http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ghgm_cvpr2014.pdf", "https://people.eecs.berkeley.edu/~gkioxari/kposelets.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.458", "http://doi.org/10.1109/CVPR.2014.458"]}, {"id": "4ee4a540b3a2bbfe263573852d2a5f6231002145", "title": "HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/09b0/040ad09d61f3403c57c437c03271f8614add.pdf"], "doi": []}, {"id": "f3a34525fa7021322f132c80c9517f240cf1e742", "title": "Pose and Pathosformel in Aby Warburg's Bilderatlas", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f3a3/4525fa7021322f132c80c9517f240cf1e742.pdf"], "doi": []}, {"id": "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "title": "Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/pose_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d578.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ladicky_Human_Pose_Estimation_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/pose_cvpr13.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Ladicky13/ladicky13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619303", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.459", "http://doi.org/10.1109/CVPR.2013.459"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "title": "Recent Advances in Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07108.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "title": "Ordinal Depth Supervision for 3D Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578861"]}, {"id": "2de5cf93f1b53d01448b94506ddfa13df8f53092", "title": "A Comprehensive Analysis of Deep Regression", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08450.pdf"], "doi": []}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "060820f110a72cbf02c14a6d1085bd6e1d994f6a", "title": "Fine-grained classification of pedestrians in video: Benchmark and state of the art", "year": "2015", "pdf": ["https://arxiv.org/pdf/1605.06177.pdf"], "doi": []}, {"id": "7750d24f5861551ea8a9b371f8f9e5c404a6e81f", "title": "Detecting Nonexistent Pedestrians", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w3/Chien_Detecting_Nonexistent_Pedestrians_ICCV_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265240", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.30", "http://doi.org/10.1109/ICCVW.2017.30"]}, {"id": "fc2be7dbdd8f5cbcb6fdf5d18241ddd630d03864", "title": "Human pose estimation via multi-layer composite models", "year": "2015", "pdf": ["http://vision.soic.indiana.edu/papers/humanpose2015sp.pdf"], "doi": ["http://doi.org/10.1016/j.sigpro.2014.09.014"]}, {"id": "ef14393a9b6da680390461901f8be949e101a88c", "title": "Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976783", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.72", "http://doi.org/10.1109/ICPR.2014.72"]}, {"id": "38a3611138388490c2cd60dfbf795932d5e55a79", "title": "2 D pose estimation in the Restaurant of the Future", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/38a3/611138388490c2cd60dfbf795932d5e55a79.pdf"], "doi": []}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "title": "Survey on Video Analysis of Human Walking Motion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ef48/f1d8ec88dabbf7253cb1c8a224cb95f604af.pdf"], "doi": []}, {"id": "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "title": "3D Human Pose Estimation from a Single Image via Distance Matrix Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09010.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "title": "GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578111"]}, {"id": "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "title": "Pathological Tremor Detection From Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c38/ab65df4a1bf546f1426e8a7f2f5cb5f765d3.pdf"], "doi": []}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "0a81810af97e8ab5b8c483209b4d0ff7210436f9", "title": "Human Joint Angle Estimation and Gesture Recognition for Assistive Robotic Vision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/0a81/810af97e8ab5b8c483209b4d0ff7210436f9.pdf"], "doi": []}, {"id": "571a29d324cbacd036d8a30ffd0f586ba128a10e", "title": "A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485293", "http://doi.org/10.1109/ACCESS.2018.2874307"]}, {"id": "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "bf2b886510c9a932c41348a60d1b9c843bdcd544", "title": "A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227386", "http://doi.org/10.1109/DICTA.2017.8227386"]}, {"id": "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "title": "Efficient 2D human pose estimation using mean-shift", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025685", "http://doi.org/10.1109/ICIP.2014.7025685"]}, {"id": "cfbb771b7ebbd6f318a1bc2241e7fbcba56c9ba2", "title": "Detection, tracking and pose estimation of people in challenging real-world scenes", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/cfbb/771b7ebbd6f318a1bc2241e7fbcba56c9ba2.pdf"], "doi": []}, {"id": "81eb804756f27d08f2d193d1074e58e1c5d263ca", "title": "Monocular 3D Human Pose Estimation Using Transfer Learning and Improved CNN Supervision", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/81eb/804756f27d08f2d193d1074e58e1c5d263ca.pdf"], "doi": []}, {"id": "99ae92bae7c873432a6a60238b33d494bbae13eb", "title": "RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99ae/92bae7c873432a6a60238b33d494bbae13eb.pdf"], "doi": []}, {"id": "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "title": "Human Pose Estimation via Multi-resolution Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575908"]}, {"id": "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "title": "Monocular Human Motion Tracking with Non-Connected Body Part Dependency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371283", "http://doi.org/10.1109/DICTA.2015.7371283"]}, {"id": "43fb9efa79178cb6f481387b7c6e9b0ca3761da8", "title": "Mixture of parts revisited: Expressive part interactions for Pose Estimation", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.6791.pdf"], "doi": []}, {"id": "54ed052738ca0f4570c74931857b3275fca9993b", "title": "Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1705.02407.pdf"], "doi": []}, {"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "821702d8c32176ab03fb39b2a60a6293a06d620f", "title": "A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008091", "http://doi.org/10.1109/DICTA.2014.7008091"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "title": "Tracking Human Pose by Tracking Symmetric Parts", "year": "2013", "pdf": ["http://ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d728.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramakrishna_Tracking_Human_Pose_2013_CVPR_paper.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619322", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.478", "http://doi.org/10.1109/CVPR.2013.478"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "title": "Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e489/4a4d8fccfbe99fa065ab86d0203e1e447b25.pdf"], "doi": []}, {"id": "b137480d2ccf3b53433de208815ce891d95af912", "title": "Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections", "year": "2012", "pdf": ["http://epubs.surrey.ac.uk/605306/1/Ren-TMM-2012.pdf", "http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/pubs/Ren-TMM-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202345", "http://doi.org/10.1109/TMM.2012.2199971"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "96feb1534ff81fce7699e0440e5b5432d450ae4f", "title": "Recovering missing data from human body images", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/96fe/b1534ff81fce7699e0440e5b5432d450ae4f.pdf"], "doi": []}, {"id": "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "title": "Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491000"]}]}
\ No newline at end of file +{"id": "4b1d23d17476fcf78f4cbadf69fb130b1aa627c0", "citations": [{"id": "b171f9e4245b52ff96790cf4f8d23e822c260780", "title": "Robotics Institute Summer Scholars Working Papers Journal Volume 2 Fall 2014", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/4c86/efd96c9ea295fa6c0311b59a8dba76237f32.pdf"], "doi": []}, {"id": "474c8e5bcbc744ff7045bfbedfdb336ad0ad12e3", "title": "Space-Time Representation of People Based on 3D Skeletal Data: A Review", "year": "2017", "pdf": ["https://arxiv.org/pdf/1601.01006.pdf"], "doi": []}, {"id": "4c6d6bb5bafba9e04d8f2ce128be71fba1d1e0e8", "title": "Human parsing with a cascade of hierarchical poselet based pruners", "year": "2014", "pdf": ["http://www.cs.umanitoba.ca/~ywang/papers/icme14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890316", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890316", "http://doi.org/10.1109/ICME.2014.6890316"]}, {"id": "ab36110a9c443d32306631ee2fd37abfa64bc1cd", "title": "Fine-tuning human pose estimations in videos", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477680", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477680", "http://doi.org/10.1109/WACV.2016.7477680"]}, {"id": "09b2e7af73689dbdba1547e19111a6ee06767906", "title": "PoseTrack: A Benchmark for Human Pose Estimation and Tracking", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578640"]}, {"id": "89ee022431da849b4991e41c0894d7535008ae99", "title": "Poselet Conditioned Pictorial Structures", "year": "2013", "pdf": ["http://courses.cs.washington.edu/courses/cse590v/13au/Pishchulin_Poselet_Conditioned_Pictorial_2013_CVPR_paper.pdf", "http://datasets.d2.mpi-inf.mpg.de/leonid13cvpr/pishchulin13cvprPoster.pdf", "http://ei.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989a588.pdf", "https://ps.is.tuebingen.mpg.de/uploads_file/attachment/attachment/127/pishchulin13cvpr.pdf", "https://www.d2.mpi-inf.mpg.de/sites/default/files/pishchulin13cvpr_slides.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6618926", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.82", "http://doi.org/10.1109/CVPR.2013.82"]}, {"id": "09e15bb266da86d0a9525d2a94ac0b38f0b53b88", "title": "Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.2031.pdf"], "doi": []}, {"id": "6668ca5ab57d68070f90671a4f92a6bc25f80470", "title": "Measuring cues for stand-off deception detection based on full-body non-verbal features in body-worn cameras", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/6668/ca5ab57d68070f90671a4f92a6bc25f80470.pdf"], "doi": []}, {"id": "7d94103c5e3796721388200ddaf94ed6e984ab0f", "title": "Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578481"]}, {"id": "13ad6164dba75845f0f397e9314ad596e74eb946", "title": "Learning to Estimate 3D Human Pose and Shape from a Single Color Image", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578153"]}, {"id": "30c43c0eb26839541861819f420f1ac2dad0711c", "title": "A Human Body Part Segmentation Method Based on Markov Random Field", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414132"]}, {"id": "f1bb2c95dc270ffa9c2f88e29ae5d2178b4459cb", "title": "A Generative Model of People in Clothing", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.04098.pdf"], "doi": []}, {"id": "d8a0d1d56b1f93e703ea0f672df9700d7a39fdd5", "title": "3D Human Pose Estimation with Siamese Equivariant Embedding", "year": "2018", "pdf": ["https://arxiv.org/pdf/1809.07217.pdf"], "doi": []}, {"id": "39d6d71aec74a9a810239f04db2f8854d2f966eb", "title": "Articulated Pose Estimation with Global Body Orientation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281079"]}, {"id": "4645c1135a824292d44c18db93b96c8402026c83", "title": "Deep Globally Constrained MRFs for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237637"]}, {"id": "f5f3faa71ed2b61fa3a99bde25d6e84bfbefbb0b", "title": "Automatic Fish Classification System Using Deep Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8371919", "http://doi.ieeecomputersociety.org/10.1109/ICTAI.2017.00016", "http://doi.org/10.1109/ICTAI.2017.00016"]}, {"id": "2e3f24d9cdba1d0343248a81c13bca96db123c21", "title": "2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner12ijcv.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2012/Eichner12/eichner12.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0524-9", "https://www.wikidata.org/entity/Q57588967"]}, {"id": "eca0d102a0e5d48ac19f1c2e99c7169b29b0497d", "title": "Robust human body segmentation based on part appearance and spatial constraint", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2013.03.003"]}, {"id": "53695e2dfec6737d585dd4e53757f73d18bd5e01", "title": "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578335"]}, {"id": "2677a79b6381f3e7787c5dca884fa53d0b28dfe2", "title": "Supplementary Document : Single-Shot Multi-Person 3 D Pose Estimation From Monocular RGB 1", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2677/a79b6381f3e7787c5dca884fa53d0b28dfe2.pdf"], "doi": []}, {"id": "7234468db46b37e2027ab2978c67b48b8581f796", "title": "Mirrored non-maximum suppression for accurate object part localization", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7486464", "http://doi.org/10.1109/ACPR.2015.7486464"]}, {"id": "72fe1d86581e4672a534852d1e4f4680811db074", "title": "Animated Pose Templates for Modeling and Detecting Human Actions", "year": "2014", "pdf": ["http://www.stat.ucla.edu/~sczhu/papers/PAMI-AnimatedPose_template.pdf", "http://www.stat.ucla.edu/~sczhu/papers/PAMI-Animated_Pose_Template.pdf", "http://www.stat.ucla.edu/~xnie/xiaohannie_files/papers/PAMI-AnimatedPose_template.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6574854", "http://doi.org/10.1109/TPAMI.2013.144", "https://www.ncbi.nlm.nih.gov/pubmed/24457502", "https://www.wikidata.org/entity/Q42639318"]}, {"id": "c930f860b783f811814feb3cf5905287a62f8050", "title": "Visual narratives : free-hand sketch for visual search and navigation of video", "year": "2016", "pdf": [], "doi": []}, {"id": "80a0dd8608d8dc10b21bf23dd9a97ca0c17f19e9", "title": "Integrating Grammar and Segmentation for Human Pose Estimation", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d214.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Rothrock_Integrating_Grammar_and_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/Human_parsing_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619257", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.413", "http://doi.org/10.1109/CVPR.2013.413"]}, {"id": "195d331c958f2da3431f37a344559f9bce09c0f7", "title": "Parsing occluded people by flexible compositions", "year": "2015", "pdf": ["https://arxiv.org/pdf/1412.1526.pdf"], "doi": []}, {"id": "71eecb0cf86f83585c0eab8297645b2a21942cb8", "title": "Real Time Detection of Human Body and Face Parts", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8f14/e5d2efebf26f906aa671ba636e4caa9a1c1f.pdf"], "doi": []}, {"id": "ce0dbe6b1abecb54dcc98dbe652aa63d190dbc94", "title": "Part-Based Models for Finding People and Estimating Their Pose", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/ce0d/be6b1abecb54dcc98dbe652aa63d190dbc94.pdf"], "doi": []}, {"id": "413a184b584dc2b669fbe731ace1e48b22945443", "title": "Human Pose Co-Estimation and Applications", "year": "2012", "pdf": ["http://groups.inf.ed.ac.uk/calvin/Publications/eichner-techreport11.pdf", "http://groups.inf.ed.ac.uk/calvin/Publications/eichner12pami.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_00911.pdf", "https://www.research.ed.ac.uk/portal/files/17356222/eichner_and_ferrari_2012_human_pose_co_estimation.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6180176", "http://doi.org/10.1109/TPAMI.2012.85", "https://www.ncbi.nlm.nih.gov/pubmed/22487983", "https://www.wikidata.org/entity/Q51384961"]}, {"id": "0f8a0c308bb63aaf2741a4817ea0464a85854e4d", "title": "Human Pose Estimation Using Deep Structure Guided Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7926724", "http://doi.org/10.1109/WACV.2017.141"]}, {"id": "0f4acbcaf70fb008fbf75d856ccd9dd529cad43c", "title": "Generating Human Images and Ground Truth using Computer Graphics", "year": "2016", "pdf": [], "doi": []}, {"id": "08847df8ea5b22c6a2d6d75352ef6270f53611de", "title": "Using k-Poselets for Detecting People and Localizing Their Keypoints", "year": "2014", "pdf": ["http://home.bharathh.info/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~bharath2/pubs/pdfs/GeorgiaBharathCVPR2014b.pdf", "http://www.cs.berkeley.edu/~gkioxari/cv-us.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Gkioxari_Using_k-Poselets_for_2014_CVPR_paper.pdf", "http://www.eecs.berkeley.edu/Research/Projects/CS/vision/shape/ghgm_cvpr2014.pdf", "https://people.eecs.berkeley.edu/~gkioxari/kposelets.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909853", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.458", "http://doi.org/10.1109/CVPR.2014.458"]}, {"id": "4ee4a540b3a2bbfe263573852d2a5f6231002145", "title": "HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/09b0/040ad09d61f3403c57c437c03271f8614add.pdf"], "doi": []}, {"id": "f3a34525fa7021322f132c80c9517f240cf1e742", "title": "Pose and Pathosformel in Aby Warburg's Bilderatlas", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f3a3/4525fa7021322f132c80c9517f240cf1e742.pdf"], "doi": []}, {"id": "21033d95e673cc4b28d81b15c80ad46cc0bdc22b", "title": "Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation", "year": "2013", "pdf": ["http://cms.brookes.ac.uk/research/visiongroup/publications/2013/pose_cvpr13.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d578.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ladicky_Human_Pose_Estimation_2013_CVPR_paper.pdf", "http://www.robots.ox.ac.uk/~tvg/publications/2013/pose_cvpr13.pdf", "http://www.robots.ox.ac.uk/~vgg/publications/2013/Ladicky13/ladicky13.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619303", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.459", "http://doi.org/10.1109/CVPR.2013.459"]}, {"id": "37ff9f3c7254919f46550c1e5fe2d16fd5604816", "title": "Articulated pose estimation via multiple mixture parts model", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301801", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301801", "http://doi.org/10.1109/AVSS.2015.7301801"]}, {"id": "1193317829bfcc9b9dffa5ae85a2e2114254b37e", "title": "Recent Advances in Convolutional Neural Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1512.07108.pdf"], "doi": []}, {"id": "a345fc597b15c26f3f2823ccd5aac0d4c976279e", "title": "Adversarially Parameterized Optimization for 3D Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8374567", "http://doi.ieeecomputersociety.org/10.1109/3DV.2017.00026", "http://doi.org/10.1109/3DV.2017.00026"]}, {"id": "75512a0c23866cc2f0bcf349b770f0fb2ce17e57", "title": "Ordinal Depth Supervision for 3D Human Pose Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578861"]}, {"id": "05ffc37ed1289c9dbd01f1cd96d5a5ae908b12cb", "title": "Multi-source Deep Learning for Human Pose Estimation", "year": "2014", "pdf": ["http://visionmeetscognition.org/fpic2014/Camera_Ready/Paper%2010.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Ouyang_Multi-source_Deep_Learning_2014_CVPR_paper.pdf", "http://www.ee.cuhk.edu.hk/~xgwang/papers/ouyangCWcvpr14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909696", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.299", "http://doi.org/10.1109/CVPR.2014.299"]}, {"id": "4850af6b54391fc33c8028a0b7fafe05855a96ff", "title": "Discovering useful parts for pose estimation in sparsely annotated datasets", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.00707.pdf"], "doi": []}, {"id": "ef14393a9b6da680390461901f8be949e101a88c", "title": "Enhanced Human Parsing with Multiple Feature Fusion and Augmented Pose Model", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976783", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2014.72", "http://doi.org/10.1109/ICPR.2014.72"]}, {"id": "38a3611138388490c2cd60dfbf795932d5e55a79", "title": "2 D pose estimation in the Restaurant of the Future", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/38a3/611138388490c2cd60dfbf795932d5e55a79.pdf"], "doi": []}, {"id": "2340a8fa6d90741c53e659cd1e7ca86ff900aa55", "title": "Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images", "year": "2014", "pdf": ["http://e-collection.library.ethz.ch/eserv/eth:14547/eth-14547-01.pdf", "http://www.iai.uni-bonn.de/~gall/download/jgall_humanpose2d_extendedversion.pdf", "http://www.vision.ee.ethz.ch/en/publications/papers/articles/eth_biwi_01078.pdf", "https://pages.iai.uni-bonn.de/gall_juergen/download/jgall_humanpose2d_pami14.pdf", "https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/89534/eth-14547-01.pdf?isAllowed=y&sequence=1"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6802375", "http://doi.org/10.1109/TPAMI.2014.2318702", "https://www.ncbi.nlm.nih.gov/pubmed/26353056", "https://www.wikidata.org/entity/Q40558807"]}, {"id": "ef48f1d8ec88dabbf7253cb1c8a224cb95f604af", "title": "Survey on Video Analysis of Human Walking Motion", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/ef48/f1d8ec88dabbf7253cb1c8a224cb95f604af.pdf"], "doi": []}, {"id": "ed3c4d2d28faaccbaef876a7daaecc3cccadb48f", "title": "3D Human Pose Estimation from a Single Image via Distance Matrix Regression", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.09010.pdf"], "doi": []}, {"id": "5c44807fb7a38d4c9c3ef3bdfb950b44c4a02a3f", "title": "Viewpoints and keypoints", "year": "2015", "pdf": ["https://arxiv.org/pdf/1411.6067.pdf"], "doi": []}, {"id": "1d6c13beb860bae7e566b7dfc5c0a449b854a590", "title": "GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578111"]}, {"id": "6c38ab65df4a1bf546f1426e8a7f2f5cb5f765d3", "title": "Pathological Tremor Detection From Video", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6c38/ab65df4a1bf546f1426e8a7f2f5cb5f765d3.pdf"], "doi": []}, {"id": "b4b6a0129bf6a716fca80a4cfc322687a72fa927", "title": "Automatic Generation of Planar Marionettes from Frontal Images", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/b4b6/a0129bf6a716fca80a4cfc322687a72fa927.pdf"], "doi": []}, {"id": "0027ccaf4960be6b6c3864513eee34b7a9c7b699", "title": "In-Bed Pose Estimation: Deep Learning With Shallow Dataset", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8611350"]}, {"id": "571a29d324cbacd036d8a30ffd0f586ba128a10e", "title": "A Parameter Efficient Human Pose Estimation Method Based on Densely Connected Convolutional Module", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8485293", "http://doi.org/10.1109/ACCESS.2018.2874307"]}, {"id": "4b83eff7c2d758f8ae04c52b7ded5afebaeefa4f", "title": "DensePose: Dense Human Pose Estimation in the Wild", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578860"]}, {"id": "bf2b886510c9a932c41348a60d1b9c843bdcd544", "title": "A Comparison between Anatomy-Based and Data-Driven Tree Models for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227386", "http://doi.org/10.1109/DICTA.2017.8227386"]}, {"id": "31a1d959e62dcc078fa2670fb9cb75b6bb070ef7", "title": "Efficient 2D human pose estimation using mean-shift", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7025685", "http://doi.org/10.1109/ICIP.2014.7025685"]}, {"id": "99ae92bae7c873432a6a60238b33d494bbae13eb", "title": "RECOGNITION OF HUMAN POSE FROM IMAGES BASED ON GRAPH SPECTRA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/99ae/92bae7c873432a6a60238b33d494bbae13eb.pdf"], "doi": []}, {"id": "7fcca469ded8293c0a77849a1b4fa39a427cdaac", "title": "Human Pose Estimation via Multi-resolution Convolutional Neural Network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575908"]}, {"id": "6daf590f25f0a0e02c46b4d0d89df0eafbe23d06", "title": "Monocular Human Motion Tracking with Non-Connected Body Part Dependency", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371283", "http://doi.org/10.1109/DICTA.2015.7371283"]}, {"id": "06cfc431b70ec6a6783284953a668984600e77e2", "title": "A Framework for Human Pose Estimation in Videos", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07788.pdf"], "doi": []}, {"id": "a0107238471816ac3b8fec32bb8499c082338593", "title": "Deep Refinement Convolutional Networks for Human Pose Estimation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961775", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.148", "http://doi.org/10.1109/FG.2017.148"]}, {"id": "821702d8c32176ab03fb39b2a60a6293a06d620f", "title": "A Robust Framework for 2D Human Pose Tracking with Spatial and Temporal Constraints", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7008091", "http://doi.org/10.1109/DICTA.2014.7008091"]}, {"id": "03270297b85b4a5a0d3468767ece17446c97df1d", "title": "Incorporating Part Appearances Symmetry for Human Pose Estimation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281070"]}, {"id": "d53cd5869a3d718ebfe8a383f76e7ede2458dd69", "title": "Tracking Human Pose by Tracking Symmetric Parts", "year": "2013", "pdf": ["http://ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d728.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Ramakrishna_Tracking_Human_Pose_2013_CVPR_paper.pdf", "http://www.ri.cmu.edu/pub_files/2013/12/CVPR2013SymParts_lowres.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619322", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.478", "http://doi.org/10.1109/CVPR.2013.478"]}, {"id": "48d85a8fd24d5357c25efafe9307e241c3b77bfc", "title": "End-to-End Algorithm for Recovering Human 3D Model from Monocular Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8622918"]}, {"id": "e4894a4d8fccfbe99fa065ab86d0203e1e447b25", "title": "Fast Online Video Pose Estimation by Dynamic Bayesian Modeling of Mode Transitions", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e489/4a4d8fccfbe99fa065ab86d0203e1e447b25.pdf"], "doi": []}, {"id": "b137480d2ccf3b53433de208815ce891d95af912", "title": "Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections", "year": "2012", "pdf": ["http://epubs.surrey.ac.uk/605306/1/Ren-TMM-2012.pdf", "http://personal.ee.surrey.ac.uk/Personal/J.Collomosse/pubs/Ren-TMM-2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202345", "http://doi.org/10.1109/TMM.2012.2199971"]}, {"id": "c3da60330497cb948ce1741f1624347ee7acfceb", "title": "Estimation de pose humaine et reconnaissance d'action par un syst\u00e8me multi-robots. (Human pose estimation and action recognition by multi-robot systems)", "year": "2017", "pdf": [], "doi": ["https://tel.archives-ouvertes.fr/tel-01921842"]}, {"id": "5fb894b0acd39a6c8b05b5c736cbb84b7b5d2fc2", "title": "Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8491000"]}]}
\ No newline at end of file |