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-{"id": "a5a44a32a91474f00a3cda671a802e87c899fbb4", "paper": {"paperId": "a5a44a32a91474f00a3cda671a802e87c899fbb4", "key": "moments_in_time", "title": "Moments in Time Dataset: one million videos for event understanding", "journal": "CoRR", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1801.03150.pdf", "report_link": "papers/a5a44a32a91474f00a3cda671a802e87c899fbb4.html", "citation_count": 25, "citations_geocoded": 15, "citations_unknown": 10, "citations_empty": 2, "citations_pdf": 25, "citations_doi": 0, "name": "Moments in Time"}, "address": null, "citations": [["DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization", "", "University of California, Riverside", "University of California, Riverside", "University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA", "33.98071305", "-117.33261035", "edu", "", "2018"], ["Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "2018"], ["Multi-Modal Fusion for Moment in Time Video Classification", "", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "2018"], ["Recurrent Residual Module for Fast Inference in Videos", "", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "31.20081505", "121.42840681", "edu", "", "2018"], ["Trimmed Event Recognition : submission to ActivityNet Challenge 2018", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "2018"], ["Alibaba-Venus at ActivityNet Challenge 2018-Task C Trimmed Event Recognition ( Moments in Time )", "", "Alibaba Group, Hangzhou, China", "Alibaba Group, Hangzhou, China", "Alibaba Group, \u4e94\u5e38\u8857\u9053, \u4f59\u676d\u533a (Yuhang), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, \u4e2d\u56fd", "30.28106540", "120.02139087", "edu", "", "2018"], ["Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior", "", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "40.11116745", "-88.22587665", "edu", "", 2018], ["Non-local NetVLAD Encoding for Video Classification", "", "Fudan University", "Fudan University", "\u590d\u65e6\u5927\u5b66, 220, \u90af\u90f8\u8def, \u4e94\u89d2\u573a\u8857\u9053, \u6768\u6d66\u533a, \u4e0a\u6d77\u5e02, 200433, \u4e2d\u56fd", "31.30104395", "121.50045497", "edu", "", "2018"], ["Video Classification System for Moments in Time Challenge 2018", "", "University of New South Wales", "University of New South Wales", "UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia", "-33.91758275", "151.23124025", "edu", "", "2018"], ["Morph: Flexible Acceleration for 3D CNN-based Video Understanding", "", "University of Illinois, Urbana-Champaign", "University of Illinois, Urbana-Champaign", "B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA", "40.11116745", "-88.22587665", "edu", "", "2018"], ["Reconstructive Memory for Abstract Selective Recall", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "2018"], ["CMU-AML Submission to Moments in Time Challenge 2018", "", "Carnegie Mellon University", "Carnegie Mellon University", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "2018"], ["Object Level Visual Reasoning in Videos", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "2018"], ["Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos", "", "University of British Columbia", "University of British Columbia", "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "49.25839375", "-123.24658161", "edu", "", "2018"], ["Submission to Moments in Time Challenge 2018", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "2018"]]} \ No newline at end of file
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Spatio-temporal Attention for Action Recognition in Videos", "", "University of British Columbia", "University of British Columbia", "University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada", "49.25839375", "-123.24658161", "edu", "", "2018"], ["Submission to Moments in Time Challenge 2018", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "2018"]]} \ No newline at end of file