{"list":"other","total":61,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1608.06993","title":"Densely Connected Convolutional Networks","created":"2016-08-25","cited_by_count":6720},{"id":"1512.00567","title":"Rethinking the Inception Architecture for Computer Vision","created":"2015-12-02","cited_by_count":5475},{"id":"1409.4842","title":"Going Deeper with Convolutions","created":"2014-09-17","cited_by_count":4241},{"id":"1311.2901","title":"Visualizing and Understanding Convolutional Networks","created":"2013-11-12","cited_by_count":2290},{"id":"1311.2524","title":"Rich feature hierarchies for accurate object detection and semantic segmentation","created":"2013-11-11","cited_by_count":2162},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"1602.07261","title":"Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning","created":"2016-02-23","cited_by_count":1512},{"id":"1406.2199","title":"Two-Stream Convolutional Networks for Action Recognition in Videos","created":"2014-06-09","cited_by_count":1068},{"id":"1608.00859","title":"Temporal Segment Networks: Towards Good Practices for Deep Action Recognition","created":"2016-08-02","cited_by_count":902},{"id":"1604.02808","title":"NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis","created":"2016-04-11","cited_by_count":686},{"id":"1411.4389","title":"Long-term Recurrent Convolutional Networks for Visual Recognition and Description","created":"2014-11-17","cited_by_count":484},{"id":"1502.04681","title":"Unsupervised Learning of Video Representations using LSTMs","created":"2015-02-16","cited_by_count":435},{"id":"1604.06573","title":"Convolutional Two-Stream Network Fusion for Video Action Recognition","created":"2016-04-22","cited_by_count":384},{"id":"1609.02612","title":"Generating Videos with Scene Dynamics","created":"2016-09-08","cited_by_count":376},{"id":"1503.08909","title":"Beyond Short Snippets: Deep Networks for Video Classification","created":"2015-03-31","cited_by_count":233},{"id":"1604.06182","title":"The THUMOS Challenge on Action Recognition for Videos \"in the Wild\"","created":"2016-04-21","cited_by_count":213},{"id":"1607.07043","title":"Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition","created":"2016-07-24","cited_by_count":143},{"id":"1405.2941","title":"Cross-view Action Modeling, Learning and Recognition","created":"2014-05-12","cited_by_count":134},{"id":"1703.03329","title":"UntrimmedNets for Weakly Supervised Action Recognition and Detection","created":"2017-03-09","cited_by_count":130},{"id":"1611.06067","title":"An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data","created":"2016-11-18","cited_by_count":126},{"id":"1405.3531","title":"Return of the Devil in the Details: Delving Deep into Convolutional Nets","created":"2014-05-14","cited_by_count":122},{"id":"1603.08029","title":"Resnet in Resnet: Generalizing Residual Architectures","created":"2016-03-25","cited_by_count":110},{"id":"1611.02155","title":"Spatiotemporal Residual Networks for Video Action Recognition","created":"2016-11-07","cited_by_count":91},{"id":"1607.02643","title":"Hierarchical Deep Temporal Models for Group Activity Recognition","created":"2016-07-09","cited_by_count":89},{"id":"1604.04494","title":"Long-term Temporal Convolutions for Action Recognition","created":"2016-04-15","cited_by_count":84},{"id":"1603.07772","title":"Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks","created":"2016-03-24","cited_by_count":63},{"id":"1505.04868","title":"Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors","created":"2015-05-19","cited_by_count":58},{"id":"1506.03607","title":"P-CNN: Pose-based CNN Features for Action Recognition","created":"2015-06-11","cited_by_count":58},{"id":"1605.04988","title":"Going Deeper into Action Recognition: A Survey","created":"2016-05-16","cited_by_count":55},{"id":"1608.00797","title":"CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016","created":"2016-08-02","cited_by_count":53},{"id":"1511.04119","title":"Action Recognition using Visual Attention","created":"2015-11-12","cited_by_count":49},{"id":"1510.00562","title":"Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks","created":"2015-10-02","cited_by_count":40},{"id":"1701.01821","title":"Unsupervised Learning of Long-Term Motion Dynamics for Videos","created":"2017-01-07","cited_by_count":37},{"id":"1512.00795","title":"Actions ~ Transformations","created":"2015-12-02","cited_by_count":30},{"id":"1604.05633","title":"Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks","created":"2016-04-19","cited_by_count":28},{"id":"1409.6813","title":"Histogram of Oriented Principal Components for Cross-View Action Recognition","created":"2014-09-24","cited_by_count":27},{"id":"1507.02159","title":"Towards Good Practices for Very Deep Two-Stream ConvNets","created":"2015-07-08","cited_by_count":25},{"id":"1411.4006","title":"A Discriminative CNN Video Representation for Event Detection","created":"2014-11-14","cited_by_count":20},{"id":"1601.05511","title":"RGB-D-based Action Recognition Datasets: A Survey","created":"2016-01-21","cited_by_count":14},{"id":"1610.06906","title":"Review of Action Recognition and Detection Methods","created":"2016-10-21","cited_by_count":13},{"id":"1406.5212","title":"R-CNNs for Pose Estimation and Action Detection","created":"2014-06-19","cited_by_count":12},{"id":"1602.00828","title":"Learning a Deep Model for Human Action Recognition from Novel Viewpoints","created":"2016-02-02","cited_by_count":12},{"id":"1604.04112","title":"Deep Residual Networks with Exponential Linear Unit","created":"2016-04-14","cited_by_count":12},{"id":"1312.7302","title":"Learning Human Pose Estimation Features with Convolutional Networks","created":"2013-12-27","cited_by_count":11},{"id":"1604.00999","title":"RGBD Datasets: Past, Present and Future","created":"2016-04-04","cited_by_count":11},{"id":"1612.09401","title":"Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks","created":"2016-12-30","cited_by_count":10},{"id":"1607.06416","title":"Hierarchical Attention Network for Action Recognition in Videos","created":"2016-07-21","cited_by_count":8},{"id":"1409.7963","title":"MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation","created":"2014-09-28","cited_by_count":6},{"id":"1501.04686","title":"Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences","created":"2015-01-20","cited_by_count":4},{"id":"1501.06262","title":"3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks","created":"2015-01-26","cited_by_count":4},{"id":"1907.06968","title":"A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera","created":"2019-07-16","cited_by_count":4},{"id":"1501.05964","title":"Advances in Human Action Recognition: A Survey","created":"2015-01-23","cited_by_count":3},{"id":"1510.01576","title":"Predicting Daily Activities From Egocentric Images Using Deep Learning","created":"2015-10-06","cited_by_count":3},{"id":"1812.10550","title":"Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks","created":"2018-12-26","cited_by_count":3},{"id":"1807.07033","title":"Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks","created":"2018-07-18","cited_by_count":2},{"id":"1605.03222","title":"Action Recognition in Video Using Sparse Coding and Relative Features","created":"2016-05-10","cited_by_count":1},{"id":"1607.02556","title":"Action Recognition with Joint Attention on Multi-Level Deep Features","created":"2016-07-09","cited_by_count":1},{"id":"1803.07780","title":"Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks","created":"2018-03-21","cited_by_count":1},{"id":"1907.03520","title":"A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data","created":"2019-07-08","cited_by_count":1}],"next_cursor":null}