{"list":"other","total":97,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"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":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2203.02155","title":"Training language models to follow instructions with human feedback","created":"2022-03-04","cited_by_count":15971},{"id":"2302.13971","title":"LLaMA: Open and Efficient Foundation Language Models","created":"2023-02-27","cited_by_count":14132},{"id":"2103.14030","title":"Swin Transformer: Hierarchical Vision Transformer using Shifted Windows","created":"2021-03-25","cited_by_count":12139},{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"2304.08485","title":"Visual Instruction Tuning","created":"2023-04-17","cited_by_count":7869},{"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":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1508.07909","title":"Neural Machine Translation of Rare Words with Subword Units","created":"2015-08-31","cited_by_count":2918},{"id":"1411.5726","title":"CIDEr: Consensus-based Image Description Evaluation","created":"2014-11-20","cited_by_count":2046},{"id":"1705.06950","title":"The Kinetics Human Action Video Dataset","created":"2017-05-19","cited_by_count":1909},{"id":"1901.07291","title":"Cross-lingual Language Model Pretraining","created":"2019-01-22","cited_by_count":1090},{"id":"2001.08210","title":"Multilingual Denoising Pre-training for Neural Machine Translation","created":"2020-01-22","cited_by_count":1035},{"id":"2009.09025","title":"COMET: A Neural Framework for MT Evaluation","created":"2020-09-18","cited_by_count":1033},{"id":"1411.4555","title":"Show and Tell: A Neural Image Caption Generator","created":"2014-11-17","cited_by_count":879},{"id":"1511.06709","title":"Improving Neural Machine Translation Models with Monolingual Data","created":"2015-11-20","cited_by_count":788},{"id":"2305.01937","title":"Can Large Language Models Be an Alternative to Human Evaluations?","created":"2023-05-03","cited_by_count":734},{"id":"1710.09829","title":"Dynamic Routing Between Capsules","created":"2017-10-26","cited_by_count":689},{"id":"1612.03242","title":"StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks","created":"2016-12-10","cited_by_count":577},{"id":"1904.03493","title":"VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research","created":"2019-04-06","cited_by_count":414},{"id":"1605.00459","title":"Multi30K: Multilingual English-German Image Descriptions","created":"2016-05-02","cited_by_count":250},{"id":"1803.02893","title":"An efficient framework for learning sentence representations","created":"2018-03-07","cited_by_count":198},{"id":"1909.07145","title":"ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)","created":"2019-09-16","cited_by_count":147},{"id":"1907.00945","title":"ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019","created":"2019-07-01","cited_by_count":139},{"id":"1811.00347","title":"How2: A Large-scale Dataset for Multimodal Language Understanding","created":"2018-11-01","cited_by_count":138},{"id":"2305.06984","title":"Evaluating Open-Domain Question Answering in the Era of Large Language Models","created":"2023-05-11","cited_by_count":111},{"id":"2003.13942","title":"Spatio-Temporal Graph for Video Captioning with Knowledge Distillation","created":"2020-03-31","cited_by_count":109},{"id":"1708.09585","title":"ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)","created":"2017-08-31","cited_by_count":105},{"id":"2305.05003","title":"Revisiting Relation Extraction in the era of Large Language Models","created":"2023-05-08","cited_by_count":102},{"id":"1710.07177","title":"Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description","created":"2017-10-19","cited_by_count":76},{"id":"1907.09358","title":"Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods","created":"2019-07-22","cited_by_count":55},{"id":"1903.08678","title":"Probing the Need for Visual Context in Multimodal Machine Translation","created":"2019-03-20","cited_by_count":54},{"id":"2007.08742","title":"A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation","created":"2020-07-17","cited_by_count":51},{"id":"1702.01287","title":"Doubly-Attentive Decoder for Multi-modal Neural Machine Translation","created":"2017-02-04","cited_by_count":46},{"id":"2105.14462","title":"Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation","created":"2021-05-30","cited_by_count":44},{"id":"1701.06521","title":"Incorporating Global Visual Features into Attention-Based Neural Machine Translation","created":"2017-01-23","cited_by_count":39},{"id":"1705.04350","title":"Imagination improves Multimodal Translation","created":"2017-05-11","cited_by_count":38},{"id":"2008.02693","title":"Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards","created":"2020-08-06","cited_by_count":38},{"id":"2009.02016","title":"Dynamic Context-guided Capsule Network for Multimodal Machine Translation","created":"2020-09-04","cited_by_count":36},{"id":"1704.06567","title":"Attention Strategies for Multi-Source Sequence-to-Sequence Learning","created":"2017-04-21","cited_by_count":32},{"id":"2203.09173","title":"On Vision Features in Multimodal Machine Translation","created":"2022-03-17","cited_by_count":31},{"id":"1906.07701","title":"Distilling Translations with Visual Awareness","created":"2019-06-18","cited_by_count":30},{"id":"1911.12798","title":"Multimodal Machine Translation through Visuals and Speech","created":"2019-11-28","cited_by_count":29},{"id":"2206.00100","title":"VALHALLA: Visual Hallucination for Machine Translation","created":"2022-05-31","cited_by_count":27},{"id":"2305.12256","title":"Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination","created":"2023-05-20","cited_by_count":27},{"id":"2203.10299","title":"Neural Machine Translation with Phrase-Level Universal Visual Representations","created":"2022-03-19","cited_by_count":26},{"id":"2212.10140","title":"Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation","created":"2022-12-20","cited_by_count":26},{"id":"2305.17415","title":"Exploring Better Text Image Translation with Multimodal Codebook","created":"2023-05-27","cited_by_count":23},{"id":"1808.08266","title":"A Visual Attention Grounding Neural Model for Multimodal Machine Translation","created":"2018-08-24","cited_by_count":22},{"id":"2005.03119","title":"Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting","created":"2020-05-06","cited_by_count":22},{"id":"2009.09654","title":"Generative Imagination Elevates Machine Translation","created":"2020-09-21","cited_by_count":22},{"id":"2012.14271","title":"Towards Fully Automated Manga Translation","created":"2020-12-28","cited_by_count":22},{"id":"2109.03415","title":"Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models","created":"2021-09-08","cited_by_count":21},{"id":"2210.15461","title":"LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation","created":"2022-10-19","cited_by_count":21},{"id":"1909.07808","title":"Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning","created":"2019-09-17","cited_by_count":20},{"id":"2010.10648","title":"Towards End-to-End In-Image Neural Machine Translation","created":"2020-10-20","cited_by_count":20},{"id":"2210.03887","title":"Improving End-to-End Text Image Translation From the Auxiliary Text Translation Task","created":"2022-10-08","cited_by_count":20},{"id":"1609.03976","title":"Multimodal Attention for Neural Machine Translation","created":"2016-09-13","cited_by_count":19},{"id":"2101.10044","title":"Cross-lingual Visual Pre-training for Multimodal Machine Translation","created":"2021-01-25","cited_by_count":19},{"id":"2009.07310","title":"Simultaneous Machine Translation with Visual Context","created":"2020-09-15","cited_by_count":17},{"id":"2109.12761","title":"OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts","created":"2021-09-27","cited_by_count":16},{"id":"1811.11365","title":"Unsupervised Multi-modal Neural Machine Translation","created":"2018-11-28","cited_by_count":15},{"id":"2202.13645","title":"MSCTD: A Multimodal Sentiment Chat Translation Dataset","created":"2022-02-28","cited_by_count":15},{"id":"2308.15226","title":"CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation","created":"2023-08-29","cited_by_count":14},{"id":"2101.05208","title":"Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding","created":"2020-12-18","cited_by_count":13},{"id":"2210.04468","title":"Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation","created":"2022-10-10","cited_by_count":13},{"id":"1808.08987","title":"Large Margin Neural Language Model","created":"2018-08-27","cited_by_count":12},{"id":"2305.17690","title":"HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language","created":"2023-05-28","cited_by_count":12},{"id":"2201.08054","title":"VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation","created":"2022-01-20","cited_by_count":11},{"id":"2108.11119","title":"Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training","created":"2021-08-25","cited_by_count":10},{"id":"2210.08478","title":"Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective","created":"2022-10-16","cited_by_count":10},{"id":"1611.04503","title":"Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot","created":"2016-11-14","cited_by_count":9},{"id":"1904.05092","title":"Cross-lingual Visual Verb Sense Disambiguation","created":"2019-04-10","cited_by_count":9},{"id":"1912.12014","title":"Visual Agreement Regularized Training for Multi-Modal Machine Translation","created":"2019-12-27","cited_by_count":9},{"id":"2305.17202","title":"BIG-C: a Multimodal Multi-Purpose Dataset for Bemba","created":"2023-05-26","cited_by_count":9},{"id":"2305.18326","title":"BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation","created":"2023-05-23","cited_by_count":9},{"id":"1703.08084","title":"Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation","created":"2017-03-23","cited_by_count":8},{"id":"1802.03116","title":"Zero-Resource Neural Machine Translation with Multi-Agent Communication Game","created":"2018-02-09","cited_by_count":8},{"id":"2004.03180","title":"Towards Multimodal Simultaneous Neural Machine Translation","created":"2020-04-07","cited_by_count":7},{"id":"2102.11387","title":"Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation","created":"2021-02-22","cited_by_count":7},{"id":"2212.10313","title":"Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation","created":"2022-12-20","cited_by_count":7},{"id":"1906.00872","title":"From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots","created":"2019-06-03","cited_by_count":6},{"id":"2012.04631","title":"Globetrotter: Connecting Languages by Connecting Images","created":"2020-12-08","cited_by_count":6},{"id":"2310.13361","title":"Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation","created":"2023-10-20","cited_by_count":6},{"id":"1712.03449","title":"Modulating and attending the source image during encoding improves Multimodal Translation","created":"2017-12-09","cited_by_count":5},{"id":"2210.06716","title":"Low-resource Neural Machine Translation with Cross-modal Alignment","created":"2022-10-13","cited_by_count":5},{"id":"2305.05166","title":"E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation","created":"2023-05-09","cited_by_count":5},{"id":"2208.00767","title":"Multimodal Neural Machine Translation with Search Engine Based Image Retrieval","created":"2022-07-26","cited_by_count":4},{"id":"2006.12799","title":"Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020","created":"2020-06-23","cited_by_count":3},{"id":"2310.17133","title":"Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs","created":"2023-10-26","cited_by_count":3},{"id":"2310.20201","title":"Video-Helpful Multimodal Machine Translation","created":"2023-10-31","cited_by_count":3},{"id":"1910.02754","title":"On Leveraging the Visual Modality for Neural Machine Translation","created":"2019-10-07","cited_by_count":2},{"id":"2201.09324","title":"Supervised Visual Attention for Simultaneous Multimodal Machine Translation","created":"2022-01-23","cited_by_count":2}],"next_cursor":null}