summaryrefslogtreecommitdiff
path: root/site/datasets/unknown/youtube_poses.json
diff options
context:
space:
mode:
Diffstat (limited to 'site/datasets/unknown/youtube_poses.json')
-rw-r--r--site/datasets/unknown/youtube_poses.json2
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/unknown/youtube_poses.json b/site/datasets/unknown/youtube_poses.json
index 72cf4a78..f40b6af8 100644
--- a/site/datasets/unknown/youtube_poses.json
+++ b/site/datasets/unknown/youtube_poses.json
@@ -1 +1 @@
-{"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "citations": [{"id": "49c5a9b23e06f5b99391ac5f34f9bf92d2de4672", "title": "Patient-Specific Pose Estimation in Clinical Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490852"]}, {"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": "5ade87a54c8baec555c37d59071c6fb4a9a55cf7", "title": "Deep Learning For Video Saliency Detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ade/87a54c8baec555c37d59071c6fb4a9a55cf7.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "b480807e11bb4e2bb7ab6d70fefd03ab39901cf1", "title": "Generating a Fusion Image: One's Identity and Another's Shape", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578274"]}, {"id": "19c53302bda8a82ec40d314a85b1713f43058a1a", "title": "Deep learning models of biological visual information processing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/19c5/3302bda8a82ec40d314a85b1713f43058a1a.pdf"], "doi": []}, {"id": "4f58c42856f1c23f15833d86721adae76215a023", "title": "4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w16/Scott_4D_Model-Based_Spatiotemporal_ICCV_2017_paper.pdf", "http://www.cse.psu.edu/~rtc12/Papers/iccv2017_peoplecap_06_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265308", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.99", "http://doi.org/10.1109/ICCVW.2017.99"]}, {"id": "022d74ae2f8680e780b18e0cbb041d5c5a57c7a5", "title": "Video Salient Object Detection via Fully Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.00871.pdf"], "doi": []}, {"id": "7d7ee56f28688283ab9958bcc94fe88413fd89b6", "title": "Personalized pose estimation for body language understanding", "year": "2017", "pdf": ["http://www.cs.rochester.edu/u/zyang39/icip17/Personalized_Pose_ICIP_2017.pdf", "http://www.cs.rochester.edu/u/zyang39/r4-personalized-pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296256", "http://doi.org/10.1109/ICIP.2017.8296256"]}, {"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": "b7ac537d97efcb968ca8e353ff5b0563e26b9dbe", "title": "Object-Aware Dense Semantic Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Yang_Object-Aware_Dense_Semantic_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.442", "http://doi.org/10.1109/CVPR.2017.442"]}, {"id": "2bfe6128731674488249316cd2db83fe9045278d", "title": "Real-time Human Pose Estimation with Convolutional Neural Networks", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/2bfe/6128731674488249316cd2db83fe9045278d.pdf"], "doi": []}, {"id": "07d6238d8f8edbfe0fd2887fa0a7939735f21e13", "title": "Learning Human Optical Flow", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05666.pdf"], "doi": []}]} \ No newline at end of file
+{"id": "1c2802c2199b6d15ecefe7ba0c39bfe44363de38", "citations": [{"id": "49c5a9b23e06f5b99391ac5f34f9bf92d2de4672", "title": "Patient-Specific Pose Estimation in Clinical Environments", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8490852"]}, {"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": "5ade87a54c8baec555c37d59071c6fb4a9a55cf7", "title": "Deep Learning For Video Saliency Detection", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/5ade/87a54c8baec555c37d59071c6fb4a9a55cf7.pdf"], "doi": []}, {"id": "74419de59b2dd7d0a16484aa2aac621df514f5c4", "title": "Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.00966.pdf"], "doi": []}, {"id": "b480807e11bb4e2bb7ab6d70fefd03ab39901cf1", "title": "Generating a Fusion Image: One's Identity and Another's Shape", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578274"]}, {"id": "19c53302bda8a82ec40d314a85b1713f43058a1a", "title": "Deep learning models of biological visual information processing", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/19c5/3302bda8a82ec40d314a85b1713f43058a1a.pdf"], "doi": []}, {"id": "4f58c42856f1c23f15833d86721adae76215a023", "title": "4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w16/Scott_4D_Model-Based_Spatiotemporal_ICCV_2017_paper.pdf", "http://www.cse.psu.edu/~rtc12/Papers/iccv2017_peoplecap_06_final.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8265308", "http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.99", "http://doi.org/10.1109/ICCVW.2017.99"]}, {"id": "022d74ae2f8680e780b18e0cbb041d5c5a57c7a5", "title": "Video Salient Object Detection via Fully Convolutional Networks", "year": "2018", "pdf": ["https://arxiv.org/pdf/1702.00871.pdf"], "doi": []}, {"id": "7d7ee56f28688283ab9958bcc94fe88413fd89b6", "title": "Personalized pose estimation for body language understanding", "year": "2017", "pdf": ["http://www.cs.rochester.edu/u/zyang39/icip17/Personalized_Pose_ICIP_2017.pdf", "http://www.cs.rochester.edu/u/zyang39/r4-personalized-pose.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8296256", "http://doi.org/10.1109/ICIP.2017.8296256"]}, {"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": "b7ac537d97efcb968ca8e353ff5b0563e26b9dbe", "title": "Object-Aware Dense Semantic Correspondence", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Yang_Object-Aware_Dense_Semantic_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099925", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.442", "http://doi.org/10.1109/CVPR.2017.442"]}, {"id": "07d6238d8f8edbfe0fd2887fa0a7939735f21e13", "title": "Learning Human Optical Flow", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.05666.pdf"], "doi": []}]} \ No newline at end of file