{"list":"other","total":59,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"1905.11946","title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","created":"2019-05-28","cited_by_count":6442},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1704.04861","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","created":"2017-04-17","cited_by_count":3845},{"id":"1703.06211","title":"Deformable Convolutional Networks","created":"2017-03-17","cited_by_count":1488},{"id":"1609.05158","title":"Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network","created":"2016-09-16","cited_by_count":1204},{"id":"2012.12556","title":"A Survey on Visual Transformer","created":"2020-12-23","cited_by_count":654},{"id":"1711.09078","title":"Video Enhancement with Task-Oriented Flow","created":"2017-11-24","cited_by_count":619},{"id":"1905.02716","title":"EDVR: Video Restoration with Enhanced Deformable Convolutional Networks","created":"2019-05-07","cited_by_count":494},{"id":"1704.03915","title":"Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution","created":"2017-04-12","cited_by_count":453},{"id":"1611.00850","title":"Optical Flow Estimation using a Spatial Pyramid Network","created":"2016-11-03","cited_by_count":424},{"id":"1902.06068","title":"Deep Learning for Image Super-resolution: A Survey","created":"2019-02-16","cited_by_count":369},{"id":"2104.13371","title":"BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment","created":"2021-04-27","cited_by_count":342},{"id":"2012.02181","title":"BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond","created":"2020-12-03","cited_by_count":304},{"id":"1808.00449","title":"Learning Blind Video Temporal Consistency","created":"2018-08-01","cited_by_count":253},{"id":"1812.02898","title":"TDAN: Temporally Deformable Alignment Network for Video Super-Resolution","created":"2018-12-07","cited_by_count":226},{"id":"1607.00148","title":"LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection","created":"2016-07-01","cited_by_count":215},{"id":"1801.04590","title":"Frame-Recurrent Video Super-Resolution","created":"2018-01-14","cited_by_count":160},{"id":"1611.05250","title":"Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation","created":"2016-11-16","cited_by_count":156},{"id":"2203.06697","title":"Efficient Long-Range Attention Network for Image Super-resolution","created":"2022-03-13","cited_by_count":151},{"id":"2108.11084","title":"Transformer for Single Image Super-Resolution","created":"2021-08-25","cited_by_count":150},{"id":"1704.02738","title":"Detail-revealing Deep Video Super-resolution","created":"2017-04-10","cited_by_count":148},{"id":"1903.10128","title":"Recurrent Back-Projection Network for Video Super-Resolution","created":"2019-03-25","cited_by_count":148},{"id":"2111.12704","title":"Investigating Tradeoffs in Real-World Video Super-Resolution","created":"2021-11-24","cited_by_count":134},{"id":"2008.00455","title":"Video Super-Resolution with Recurrent Structure-Detail Network","created":"2020-08-02","cited_by_count":116},{"id":"2006.05132","title":"A Survey on Generative Adversarial Networks: Variants, Applications, and Training","created":"2020-06-09","cited_by_count":97},{"id":"2002.11616","title":"Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution","created":"2020-02-26","cited_by_count":91},{"id":"2007.11803","title":"MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution","created":"2020-07-23","cited_by_count":89},{"id":"2007.10595","title":"Video Super-resolution with Temporal Group Attention","created":"2020-07-21","cited_by_count":81},{"id":"2009.07265","title":"Understanding Deformable Alignment in Video Super-Resolution","created":"2020-09-15","cited_by_count":78},{"id":"2207.08494","title":"Rethinking Alignment in Video Super-Resolution Transformers","created":"2022-07-18","cited_by_count":71},{"id":"1909.08080","title":"Efficient Video Super-Resolution through Recurrent Latent Space Propagation","created":"2019-09-17","cited_by_count":69},{"id":"2103.02368","title":"Real-World Single Image Super-Resolution: A Brief Review","created":"2021-03-03","cited_by_count":65},{"id":"2204.04216","title":"Learning Trajectory-Aware Transformer for Video Super-Resolution","created":"2022-04-08","cited_by_count":61},{"id":"2007.12928","title":"Video Super Resolution Based on Deep Learning: A Comprehensive Survey","created":"2020-07-25","cited_by_count":54},{"id":"2104.10642","title":"Temporal Modulation Network for Controllable Space-Time Video Super-Resolution","created":"2021-04-21","cited_by_count":54},{"id":"2008.05765","title":"Revisiting Temporal Modeling for Video Super-resolution","created":"2020-08-13","cited_by_count":46},{"id":"2003.04716","title":"Deep Blind Video Super-resolution","created":"2020-03-10","cited_by_count":44},{"id":"2203.14186","title":"RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution","created":"2022-03-27","cited_by_count":44},{"id":"1904.02870","title":"Fast Spatio-Temporal Residual Network for Video Super-Resolution","created":"2019-04-05","cited_by_count":34},{"id":"2004.02803","title":"Deformable 3D Convolution for Video Super-Resolution","created":"2020-04-06","cited_by_count":32},{"id":"2103.15683","title":"Omniscient Video Super-Resolution","created":"2021-03-29","cited_by_count":30},{"id":"2105.05640","title":"FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution","created":"2021-05-12","cited_by_count":19},{"id":"2105.08826","title":"Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report","created":"2021-05-17","cited_by_count":19},{"id":"2304.04421","title":"Local-Global Temporal Difference Learning for Satellite Video Super-Resolution","created":"2023-04-10","cited_by_count":19},{"id":"2108.11048","title":"Memory-Augmented Non-Local Attention for Video Super-Resolution","created":"2021-08-25","cited_by_count":17},{"id":"2206.07687","title":"Structured Sparsity Learning for Efficient Video Super-Resolution","created":"2022-06-15","cited_by_count":14},{"id":"1812.09079","title":"3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks","created":"2018-12-21","cited_by_count":12},{"id":"2010.08045","title":"Revisiting Optical Flow Estimation in 360 Videos","created":"2020-10-15","cited_by_count":12},{"id":"2208.02470","title":"Online Video Super-Resolution with Convolutional Kernel Bypass Graft","created":"2022-08-04","cited_by_count":12},{"id":"2305.02660","title":"Expanding Synthetic Real-World Degradations for Blind Video Super Resolution","created":"2023-05-04","cited_by_count":12},{"id":"2008.10320","title":"A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution","created":"2020-08-24","cited_by_count":10},{"id":"2011.04482","title":"DynaVSR: Dynamic Adaptive Blind Video Super-Resolution","created":"2020-11-09","cited_by_count":10},{"id":"2104.05778","title":"Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling","created":"2021-04-12","cited_by_count":9},{"id":"2401.07139","title":"Deep Blind Super-Resolution for Satellite Video","created":"2024-01-13","cited_by_count":6},{"id":"2109.13626","title":"An Efficient Network Design for Face Video Super-resolution","created":"2021-09-28","cited_by_count":4},{"id":"2210.10474","title":"Video super-resolution for single-photon LIDAR","created":"2022-10-19","cited_by_count":3}],"next_cursor":null}