{"list":"other","total":54,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"2301.12597","title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","created":"2023-01-30","cited_by_count":6137},{"id":"1607.06450","title":"Layer Normalization","created":"2016-07-21","cited_by_count":5669},{"id":"1711.00937","title":"Neural Discrete Representation Learning","created":"2017-11-02","cited_by_count":4712},{"id":"1606.08415","title":"Gaussian Error Linear Units (GELUs)","created":"2016-06-27","cited_by_count":3502},{"id":"2106.08254","title":"BEiT: BERT Pre-Training of Image Transformers","created":"2021-06-15","cited_by_count":2375},{"id":"1803.07728","title":"Unsupervised Representation Learning by Predicting Image Rotations","created":"2018-03-21","cited_by_count":1591},{"id":"1603.09246","title":"Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles","created":"2016-03-30","cited_by_count":1382},{"id":"1812.08008","title":"OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields","created":"2018-12-18","cited_by_count":1162},{"id":"2111.09886","title":"SimMIM: A Simple Framework for Masked Image Modeling","created":"2021-11-18","cited_by_count":1153},{"id":"1505.05192","title":"Unsupervised Visual Representation Learning by Context Prediction","created":"2015-05-19","cited_by_count":1066},{"id":"2003.14111","title":"Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition","created":"2020-03-31","cited_by_count":343},{"id":"2107.12213","title":"Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition","created":"2021-07-26","cited_by_count":322},{"id":"2003.13830","title":"Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation","created":"2020-03-30","cited_by_count":256},{"id":"2105.12397","title":"Improving Sign Language Translation with Monolingual Data by Sign Back-Translation","created":"2021-05-26","cited_by_count":179},{"id":"2008.08143","title":"How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language","created":"2020-08-18","cited_by_count":173},{"id":"2211.01367","title":"Two-Stream Network for Sign Language Recognition and Translation","created":"2022-11-02","cited_by_count":123},{"id":"2004.14874","title":"Progressive Transformers for End-to-End Sign Language Production","created":"2020-04-30","cited_by_count":120},{"id":"1810.12541","title":"Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots","created":"2018-10-30","cited_by_count":110},{"id":"2207.01567","title":"Back to MLP: A Simple Baseline for Human Motion Prediction","created":"2022-07-04","cited_by_count":100},{"id":"1908.08597","title":"Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective","created":"2019-08-22","cited_by_count":87},{"id":"2203.04287","title":"A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation","created":"2022-03-08","cited_by_count":80},{"id":"2404.00925","title":"LLMs are Good Sign Language Translators","created":"2024-04-01","cited_by_count":77},{"id":"2010.05468","title":"TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation","created":"2020-10-12","cited_by_count":75},{"id":"2306.15162","title":"YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus","created":"2023-06-27","cited_by_count":75},{"id":"2205.12870","title":"Open-Domain Sign Language Translation Learned from Online Video","created":"2022-05-25","cited_by_count":72},{"id":"2105.05222","title":"Including Signed Languages in Natural Language Processing","created":"2021-05-11","cited_by_count":68},{"id":"1707.05740","title":"Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks","created":"2017-07-18","cited_by_count":62},{"id":"2203.15354","title":"Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production","created":"2022-03-29","cited_by_count":61},{"id":"2110.05382","title":"SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition","created":"2021-10-11","cited_by_count":60},{"id":"2008.12405","title":"Adversarial Training for Multi-Channel Sign Language Production","created":"2020-08-27","cited_by_count":57},{"id":"2405.04164","title":"Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation","created":"2024-05-07","cited_by_count":57},{"id":"2307.07361","title":"Gloss Attention for Gloss-free Sign Language Translation","created":"2023-07-14","cited_by_count":51},{"id":"2107.11317","title":"Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives","created":"2021-07-23","cited_by_count":50},{"id":"2312.02702","title":"Neural Sign Actors: A diffusion model for 3D sign language production from text","created":"2023-12-05","cited_by_count":49},{"id":"2402.09611","title":"Towards Privacy-Aware Sign Language Translation at Scale","created":"2024-02-14","cited_by_count":44},{"id":"2208.09141","title":"G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model","created":"2022-08-19","cited_by_count":38},{"id":"2109.13318","title":"Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation","created":"2021-09-01","cited_by_count":35},{"id":"2305.01778","title":"SLTUNET: A Simple Unified Model for Sign Language Translation","created":"2023-05-02","cited_by_count":35},{"id":"2303.12793","title":"CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning","created":"2023-03-22","cited_by_count":33},{"id":"2305.12876","title":"Gloss-Free End-to-End Sign Language Translation","created":"2023-05-22","cited_by_count":32},{"id":"2208.00368","title":"Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction","created":"2022-07-31","cited_by_count":29},{"id":"1904.00129","title":"Dance Dance Generation: Motion Transfer for Internet Videos","created":"2019-03-30","cited_by_count":28},{"id":"2112.04228","title":"SimulSLT: End-to-End Simultaneous Sign Language Translation","created":"2021-12-08","cited_by_count":27},{"id":"2308.10809","title":"Improving Continuous Sign Language Recognition with Cross-Lingual Signs","created":"2023-08-21","cited_by_count":27},{"id":"2201.02495","title":"Sign Language Video Retrieval with Free-Form Textual Queries","created":"2022-01-07","cited_by_count":23},{"id":"2211.13613","title":"Ham2Pose: Animating Sign Language Notation into Pose Sequences","created":"2022-11-24","cited_by_count":21},{"id":"2107.10685","title":"AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation","created":"2021-07-22","cited_by_count":16},{"id":"2312.12917","title":"Sign Language Production with Latent Motion Transformer","created":"2023-12-20","cited_by_count":13},{"id":"2204.04916","title":"A Token-level Contrastive Framework for Sign Language Translation","created":"2022-04-11","cited_by_count":10},{"id":"2406.06648","title":"SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation","created":"2024-06-10","cited_by_count":2}],"next_cursor":null}