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Who cites Li-Jia Li

3,694 citations of their works from 3,365 papers of our library (of the 149,439 whose bibliographies we read) · 292 with a page here, the most cited first · page 1 of 3 · 1–100 · ← Li-Jia Li

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  1. Very Deep Convolutional Networks for Large-Scale Image RecognitionarXiv:1409.1556Karen Simonyan, Andrew Zisserman2014 · 73,393 citations
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citations
  3. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE/CVF International Conference on Computer Vision (ICCV)Ze Liu, Yutong Lin, Yue Cao, et al.2021 · 33,968 citations
  4. Rich feature hierarchies for accurate object detection and semantic segmentationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRoss Girshick, Jeff Donahue, Trevor Darrell, et al.2013 · 31,930 citations
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalearXiv:2010.11929Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al.2020 · 23,726 citations
  6. Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,302 citations
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,325 citations
  8. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
  9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
  10. SQuAD: 100,000+ Questions for Machine Comprehension of TextConference on Empirical Methods in Natural Language Processing (EMNLP)Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.2016 · 9,621 citations
  11. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  12. Explaining and Harnessing Adversarial ExamplesarXiv:1412.6572Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy2014 · 8,577 citations
  13. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial NetworksarXiv:1511.06434Alec Radford, Luke Metz, Soumith Chintala2015 · 6,654 citations
  14. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
  15. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer VisionRamprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al.2016 · 6,394 citations
  16. Emerging Properties in Self-Supervised Vision TransformersIEEE/CVF International Conference on Computer Vision (ICCV)Mathilde Caron, Hugo Touvron, Ishan Misra, et al.2021 · 6,046 citations
  17. Intriguing properties of neural networksarXiv:1312.6199Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, et al.2013 · 5,999 citations
  18. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsInternational Journal of Computer VisionRanjay Krishna, Yuke Zhu, Oliver Groth, et al.2016 · 5,876 citations
  19. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
  20. Microsoft COCO: Common Objects in ContextarXiv:1405.0312Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.2014 · 5,131 citations
  21. Billion-scale similarity search with GPUsIEEE Transactions on Big DataJeff Johnson, Matthijs Douze, Hervé Jégou2017 · 4,728 citations
  22. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
  23. DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionarXiv:1310.1531Jeff Donahue, Yangqing Jia, Oriol Vinyals, et al.2013 · 3,463 citations
  24. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  25. SuperGlue: Learning Feature Matching with Graph Neural NetworksIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPaul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, et al.2019 · 2,921 citations
  26. ImageNet Classification with Deep Convolutional Neural NetworksNeurIPS 2012Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton2012 · 2,801 citations
  27. LXMERT: Learning Cross-Modality Encoder Representations from TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Tan, Mohit Bansal2019 · 2,789 citations
  28. Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,614 citations
  29. Revisiting Unreasonable Effectiveness of Data in Deep Learning EraIEEE International Conference on Computer Vision (ICCV)Chen Sun, Abhinav Shrivastava, Saurabh Singh, et al.2017 · 2,512 citations
  30. UNITER: UNiversal Image-TExt Representation LearningLecture notes in computer scienceYen-Chun Chen, Linjie Li, Licheng Yu, et al.2019 · 2,418 citations
  31. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  32. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
  33. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsarXiv:2301.12597Junnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,219 citations
  34. Deep Networks with Stochastic DepthLecture notes in computer scienceGao Huang, Yu Sun, Zhuang Liu, et al.2016 · 2,160 citations
  35. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionDrew A. Hudson, Christopher D. Manning2019 · 2,078 citations
  36. Reading Tea Leaves: How Humans Interpret Topic ModelsConference on Neural Information Processing Systems (NeurIPS)Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,053 citations
  37. Designing Network Design SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionIlija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.2020 · 2,040 citations
  38. High-Resolution Image Synthesis with Latent Diffusion ModelsarXiv:2112.10752Robin Rombach, Andreas Blattmann, Dominik Lorenz, et al.2021 · 1,996 citations
  39. Microsoft COCO Captions: Data Collection and Evaluation ServerarXiv:1504.00325Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,948 citations
  40. Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksLecture notes in computer scienceXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,877 citations
  41. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
  42. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth GradientsarXiv:1606.06160Shuchang Zhou, Yuxin Wu, Zekun Ni, et al.2016 · 1,762 citations
  43. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual GroundingConference on Empirical Methods in Natural Language Processing (EMNLP)Akira Fukui, Dong Huk Park, Daylen Yang, et al.2016 · 1,684 citations
  44. YFCC100M: The New Data in Multimedia ResearchCommunications of the ACMBart Thomee, David A. Shamma, Gerald Friedland, et al.2015 · 1,671 citations
  45. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML)Chao Jia, Yinfei Yang, Ye Xia, et al.2021 · 1,615 citations
  46. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
  47. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  48. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
  49. Zero-Shot Text-to-Image GenerationarXiv:2102.12092Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021 · 1,528 citations
  50. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationarXiv:2201.12086Junnan Li, Dongxu Li, Caiming Xiong, et al.2022 · 1,523 citations
  51. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
  52. LAION-5B: An open large-scale dataset for training next generation image-text modelsarXiv:2210.08402Christoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,485 citations
  53. From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
  54. OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksarXiv:1312.6229Pierre Sermanet, David Eigen, Xiang Zhang, et al.2013 · 1,423 citations
  55. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.2018 · 1,405 citations
  56. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  57. Sequence Level Training with Recurrent Neural NetworksarXiv:1511.06732Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, et al.2015 · 1,370 citations
  58. Habitat: A Platform for Embodied AI ResearchIEEE/CVF International Conference on Computer Vision (ICCV)Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, et al.2019 · 1,313 citations
  59. Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
  60. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question AnsweringInternational Journal of Computer VisionYash Goyal, Tejas Khot, Douglas Summers-Stay, et al.2016 · 1,281 citations
  61. PIQA: Reasoning about Physical Commonsense in Natural LanguageProceedings of the AAAI Conference on Artificial IntelligenceYonatan Bisk, Rowan Zellers, Ronan Le Bras, et al.2019 · 1,264 citations
  62. FastText.zip: Compressing text classification modelsarXiv:1612.03651Armand Joulin, Edouard Grave, Piotr Bojanowski, et al.2016 · 1,219 citations
  63. Recipes for Building an Open-Domain ChatbotConference of the European Chapter of the Association for Computational Linguistics (EACL)Stephen Roller, Emily Dinan, Naman Goyal, et al.2021 · 1,214 citations
  64. EIE: Efficient Inference Engine on Compressed Deep Neural NetworkACM/IEEE International Symposium on Computer Architecture (ISCA)Song Han, Xingyu Liu, Huizi Mao, et al.2016 · 1,193 citations
  65. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsarXiv:2304.10592Deyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,141 citations
  66. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  67. Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine IntelligenceJingyi Zhang, Jiaxing Huang, Sheng Jin, et al.2023 · 1,047 citations
  68. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 970 citations
  69. QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingarXiv:1610.02132Dan Alistarh, Demjan Grubic, Jerry Li, et al.2016 · 962 citations
  70. Visual7W: Grounded Question Answering in ImagesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYuke Zhu, Oliver Groth, Michael Bernstein, et al.2015 · 952 citations
  71. LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingarXiv:1912.13318Yiheng Xu, Minghao Li, Lei Cui, et al.2019 · 896 citations
  72. DocVQA: A Dataset for VQA on Document ImagesarXiv:2007.00398Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 844 citations
  73. CIDEr: Consensus-based Image Description EvaluationarXiv:1411.5726Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh2014 · 827 citations
  74. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 804 citations
  75. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
  76. Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and EvaluationIEEE/CVF International Conference on Computer Vision (ICCV)Xin Chen, Lingxi Xie, Jun Wu, et al.2019 · 732 citations
  77. Generating Radiology Reports via Memory-driven TransformerConference on Empirical Methods in Natural Language Processing (EMNLP)Zhihong Chen, Yan Song, Tsung-Hui Chang, et al.2020 · 715 citations
  78. Efficient Neural Architecture Search via Parameter SharingarXiv:1802.03268Hieu Pham, Melody Y. Guan, Barret Zoph, et al.2018 · 699 citations
  79. TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
  80. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
  81. Object Hallucination in Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP)Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.2018 · 626 citations
  82. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
  83. SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisarXiv:2307.01952Dustin Podell, Zion English, Kyle Lacey, et al.2023 · 608 citations
  84. Deep Visual-Semantic Alignments for Generating Image DescriptionsarXiv:1412.2306Andrej Karpathy, Li Fei-Fei2014 · 608 citations
  85. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  86. Membership Inference Attacks From First PrinciplesProceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and PrivacyNicholas Carlini, Steve Chien, Milad Nasr, et al.2021 · 584 citations
  87. OCR-free Document Understanding TransformerLecture notes in computer scienceGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 584 citations
  88. Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Jason Lee, Elman Mansimov, Kyunghyun Cho2018 · 568 citations
  89. MIND: A Large-scale Dataset for News RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.2020 · 564 citations
  90. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
  91. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
  92. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  93. SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head PruningProceedings - International Symposium on High-Performance Computer Architecture/ProceedingsHanrui Wang, Zhekai Zhang, Song Han2020 · 534 citations
  94. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  95. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  96. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  97. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
  98. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
  99. The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue SystemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Ryan Lowe, Nissan Pow, Iulian Serban, et al.2015 · 494 citations
  100. Flow Matching for Generative ModelingarXiv:2210.02747Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, et al.2022 · 481 citations

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