{"list":"other","total":102,"rows":[{"id":"1602.05629","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","created":"2016-02-17","cited_by_count":7669},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4859},{"id":"1505.00468","title":"VQA: Visual Question Answering","created":"2015-05-03","cited_by_count":2506},{"id":"1505.04870","title":"Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models","created":"2015-05-19","cited_by_count":1362},{"id":"1705.09406","title":"Multimodal Machine Learning: A Survey and Taxonomy","created":"2017-05-26","cited_by_count":1013},{"id":"1908.08530","title":"VL-BERT: Pre-training of Generic Visual-Linguistic Representations","created":"2019-08-22","cited_by_count":954},{"id":"1908.06066","title":"Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training","created":"2019-08-16","cited_by_count":451},{"id":"1606.00061","title":"Hierarchical Question-Image Co-Attention for Visual Question Answering","created":"2016-05-31","cited_by_count":278},{"id":"1511.02274","title":"Stacked Attention Networks for Image Question Answering","created":"2015-11-07","cited_by_count":273},{"id":"2301.04856","title":"Multimodal Deep Learning","created":"2023-01-12","cited_by_count":258},{"id":"1812.11750","title":"Federated Learning via Over-the-Air Computation","created":"2018-12-31","cited_by_count":219},{"id":"1812.11494","title":"Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version)","created":"2018-12-30","cited_by_count":191},{"id":"1909.06459","title":"F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds","created":"2019-09-13","cited_by_count":171},{"id":"1905.05265","title":"Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds","created":"2019-05-13","cited_by_count":165},{"id":"1902.10265","title":"A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems","created":"2019-02-26","cited_by_count":160},{"id":"1904.11686","title":"The Roadmap to 6G -- AI Empowered Wireless Networks","created":"2019-04-26","cited_by_count":153},{"id":"2106.04538","title":"What Makes Multi-modal Learning Better than Single (Provably)","created":"2021-06-08","cited_by_count":153},{"id":"1511.02793","title":"Generating Images from Captions with Attention","created":"2015-11-09","cited_by_count":136},{"id":"1606.07356","title":"Analyzing the Behavior of Visual Question Answering Models","created":"2016-06-23","cited_by_count":119},{"id":"2111.12444","title":"Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications","created":"2021-11-24","cited_by_count":97},{"id":"1412.4729","title":"Translating Videos to Natural Language Using Deep Recurrent Neural Networks","created":"2014-12-15","cited_by_count":95},{"id":"1809.00343","title":"Towards an Intelligent Edge: Wireless Communication Meets Machine Learning","created":"2018-09-02","cited_by_count":95},{"id":"2207.00427","title":"Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges","created":"2022-06-10","cited_by_count":95},{"id":"1412.6632","title":"Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)","created":"2014-12-20","cited_by_count":94},{"id":"2108.07165","title":"Integrated Sensing and Communications: Towards Dual-functional Wireless Networks for 6G and Beyond","created":"2021-08-16","cited_by_count":91},{"id":"1603.01417","title":"Dynamic Memory Networks for Visual and Textual Question Answering","created":"2016-03-04","cited_by_count":62},{"id":"1908.07463","title":"On Analog Gradient Descent Learning over Multiple Access Fading Channels","created":"2019-08-20","cited_by_count":62},{"id":"2004.00490","title":"Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness","created":"2020-04-01","cited_by_count":62},{"id":"2005.02472","title":"Cross-media Structured Common Space for Multimedia Event Extraction","created":"2020-05-05","cited_by_count":61},{"id":"2109.15258","title":"Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices","created":"2021-09-30","cited_by_count":56},{"id":"2211.09769","title":"DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset","created":"2022-11-17","cited_by_count":53},{"id":"2110.00196","title":"What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence","created":"2021-10-01","cited_by_count":50},{"id":"2207.02127","title":"A survey of multimodal deep generative models","created":"2022-07-05","cited_by_count":47},{"id":"2102.01420","title":"The Road Towards 6G: A Comprehensive Survey","created":"2021-02-02","cited_by_count":40},{"id":"2011.05051","title":"Federated Learning via Intelligent Reflecting Surface","created":"2020-11-10","cited_by_count":38},{"id":"2207.00969","title":"Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI","created":"2022-07-03","cited_by_count":33},{"id":"1503.01558","title":"What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision","created":"2015-03-05","cited_by_count":31},{"id":"1704.00275","title":"SAR image despeckling through convolutional neural networks","created":"2017-04-02","cited_by_count":30},{"id":"2102.09527","title":"Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff","created":"2021-02-18","cited_by_count":30},{"id":"2102.13604","title":"Federated Edge Learning with Misaligned Over-The-Air Computation","created":"2021-02-26","cited_by_count":30},{"id":"2302.10909","title":"Multi-modal Machine Learning in Engineering Design: A Review and Future Directions","created":"2023-02-14","cited_by_count":27},{"id":"2301.11283","title":"Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond","created":"2023-01-26","cited_by_count":26},{"id":"2312.00333","title":"Green Edge AI: A Contemporary Survey","created":"2023-12-01","cited_by_count":25},{"id":"1404.7796","title":"Majority Vote of Diverse Classifiers for Late Fusion","created":"2014-04-30","cited_by_count":23},{"id":"1603.09725","title":"Audio-Visual Speaker Diarization Based on Spatiotemporal Bayesian Fusion","created":"2016-03-31","cited_by_count":23},{"id":"1505.06027","title":"Weakly-Supervised Alignment of Video With Text","created":"2015-05-22","cited_by_count":21},{"id":"1911.06257","title":"ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications","created":"2019-11-14","cited_by_count":21},{"id":"1503.01800","title":"EmoNets: Multimodal deep learning approaches for emotion recognition in video","created":"2015-03-05","cited_by_count":20},{"id":"1910.02214","title":"Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning","created":"2019-10-05","cited_by_count":20},{"id":"2104.11457","title":"Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends and Challenges","created":"2021-04-23","cited_by_count":20},{"id":"1906.00789","title":"Joint Radar and Communication Design: Applications, State-of-the-art, and the Road Ahead","created":"2019-06-03","cited_by_count":19},{"id":"2111.09676","title":"Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration","created":"2021-11-18","cited_by_count":17},{"id":"2009.11975","title":"CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles","created":"2020-09-24","cited_by_count":16},{"id":"1908.07094","title":"Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck","created":"2019-08-19","cited_by_count":15},{"id":"2206.02398","title":"Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks","created":"2022-06-06","cited_by_count":15},{"id":"2207.11409","title":"Computer Vision Aided mmWave Beam Alignment in V2X Communications","created":"2022-07-23","cited_by_count":15},{"id":"2306.14143","title":"Intelligent Multi-Modal Sensing-Communication Integration: Synesthesia of Machines","created":"2023-06-25","cited_by_count":15},{"id":"2403.12400","title":"Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing","created":"2024-03-19","cited_by_count":15},{"id":"2211.01255","title":"Task-Oriented Over-the-Air Computation for Multi-Device Edge AI","created":"2022-11-02","cited_by_count":14},{"id":"2111.01850","title":"Distributed Learning over a Wireless Network with FSK-Based Majority Vote","created":"2021-11-02","cited_by_count":13},{"id":"2206.05949","title":"Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration","created":"2022-06-13","cited_by_count":12},{"id":"1612.02307","title":"Over-the-air Function Computation in Sensor Networks","created":"2016-12-07","cited_by_count":11},{"id":"1812.02373","title":"Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks","created":"2018-12-06","cited_by_count":11},{"id":"2201.12581","title":"Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design","created":"2022-01-29","cited_by_count":11},{"id":"2306.14125","title":"M$^3$SC: A Generic Dataset for Mixed Multi-Modal (MMM) Sensing and Communication Integration","created":"2023-06-25","cited_by_count":11},{"id":"2202.03129","title":"Over-the-Air Ensemble Inference with Model Privacy","created":"2022-02-07","cited_by_count":10},{"id":"2206.00310","title":"Digital Twin for Networking: A Data-driven Performance Modeling Perspective","created":"2022-06-01","cited_by_count":10},{"id":"2310.10089","title":"Over-the-Air Federated Learning and Optimization","created":"2023-10-16","cited_by_count":10},{"id":"2005.09139","title":"Over-the-Air Computation Systems: Optimal Design with Sum-Power Constraint","created":"2020-05-19","cited_by_count":8},{"id":"1408.6418","title":"Video In Sentences Out","created":"2014-08-09","cited_by_count":7},{"id":"1906.06380","title":"Time Synchronization in 5G Wireless Edge: Requirements and Solutions for Critical-MTC","created":"2019-06-14","cited_by_count":7},{"id":"2210.06080","title":"Computing Power Network: A Survey","created":"2022-10-12","cited_by_count":7},{"id":"1705.00462","title":"Spectrum Monitoring for Radar Bands using Deep Convolutional Neural Networks","created":"2017-05-01","cited_by_count":6},{"id":"1802.09736","title":"Cognitive Radar Antenna Selection via Deep Learning","created":"2018-02-27","cited_by_count":5},{"id":"1910.07660","title":"Developing Self-Adaptive Microservice Systems: Challenges and Directions","created":"2019-10-17","cited_by_count":5},{"id":"1911.03878","title":"An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning","created":"2019-11-10","cited_by_count":5},{"id":"2011.08317","title":"Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors","created":"2020-11-16","cited_by_count":5},{"id":"2305.17751","title":"Near-Field Communications: A Tutorial Review","created":"2023-05-28","cited_by_count":5},{"id":"1905.03949","title":"Sensing, Computing, and Communication for Energy Harvesting IoTs: A Survey","created":"2019-05-10","cited_by_count":4},{"id":"2006.16628","title":"Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach","created":"2020-06-30","cited_by_count":4},{"id":"2207.03634","title":"Integrating Sensing, Computing, and Communication in 6G Wireless Networks: Design and Optimization","created":"2022-07-08","cited_by_count":4},{"id":"2302.10416","title":"Joint Communication, Sensing and Computation enabled 6G Intelligent Machine System","created":"2023-02-21","cited_by_count":4},{"id":"2306.01162","title":"Integrated Sensing-Communication-Computation for Edge Artificial Intelligence","created":"2023-06-01","cited_by_count":4},{"id":"2306.06603","title":"Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI","created":"2023-06-11","cited_by_count":4},{"id":"1503.06007","title":"Distributed Time-Sensitive Task Selection in Mobile Crowdsensing","created":"2015-03-20","cited_by_count":3},{"id":"2009.13702","title":"A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing","created":"2020-09-29","cited_by_count":3},{"id":"2202.03220","title":"Deep Learning based Channel Estimation for Massive MIMO with Hybrid Transceivers","created":"2022-02-07","cited_by_count":3},{"id":"1706.03151","title":"Adaptive Interference Removal for Un-coordinated Radar/Communication Co-existence","created":"2017-06-09","cited_by_count":2},{"id":"1807.04000","title":"Interfering Channel Estimation in Radar-Cellular Coexistence: How Much Information Do We Need?","created":"2018-07-11","cited_by_count":2},{"id":"2112.06224","title":"Joint Sensing, Communication, and Computation Resource Allocation for Cooperative Perception in Fog-Based Vehicular Networks","created":"2021-12-12","cited_by_count":2},{"id":"2306.17354","title":"Toward Intelligent and Efficient 6G Networks: JCSC Enabled On-Purpose Machine Communications","created":"2023-06-30","cited_by_count":2},{"id":"2310.03265","title":"Integrated Communication, Sensing, and Computation Framework for 6G Networks","created":"2023-10-05","cited_by_count":2},{"id":"2312.01751","title":"Joint Task Partitioning and Parallel Scheduling in Device-Assisted Mobile Edge Networks","created":"2023-12-04","cited_by_count":2},{"id":"2001.01799","title":"Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar","created":"2020-01-06","cited_by_count":1},{"id":"2201.12583","title":"Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing","created":"2022-01-29","cited_by_count":1},{"id":"2205.08272","title":"NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems","created":"2022-05-17","cited_by_count":1},{"id":"2207.10219","title":"An IRS Backscatter Enabled Integrated Sensing, Communication and Computation System","created":"2022-07-20","cited_by_count":1},{"id":"2309.02648","title":"Joint Beamforming and Power Allocation for RIS Aided Full-Duplex Integrated Sensing and Uplink Communication System","created":"2023-09-06","cited_by_count":1},{"id":"2311.09028","title":"Integrating Sensing, Communication, and Power Transfer: Multiuser Beamforming Design","created":"2023-11-15","cited_by_count":1},{"id":"2312.01336","title":"Integrating Communication, Sensing and Computing in Satellite Internet of Things: Challenges and Opportunities","created":"2023-12-03","cited_by_count":1}],"next_cursor":"100"}