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Zhe Gan

2009–2026 年に発表

167
論文数
20,364
被引用数
68
h 指数
140
i10 指数

被引用数

Zhe Gan の年別被引用数1994 年: 被引用 3 件2001 年: 被引用 1 件2002 年: 被引用 1 件2005 年: 被引用 1 件2006 年: 被引用 1 件2009 年: 被引用 1 件2010 年: 被引用 1 件2012 年: 被引用 3 件2015 年: 被引用 24 件2016 年: 被引用 40 件2017 年: 被引用 89 件2018 年: 被引用 254 件2019 年: 被引用 392 件2020 年: 被引用 737 件2021 年: 被引用 955 件2022 年: 被引用 857 件2023 年: 被引用 1,492 件2024 年: 被引用 1,627 件2025 年: 被引用 1,752 件2026 年: 被引用 586 件1995〜2000 年は被引用が無いため表示していません2003〜2004 年は被引用が無いため表示していません2007〜2008 年は被引用が無いため表示していません2011 年は被引用が無いため表示していません2013〜2014 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 2,146 件、この内訳の 30.6%アメリカ合衆国: 引用元論文 1,632 件、この内訳の 23.3%イギリス: 引用元論文 444 件、この内訳の 6.3%香港: 引用元論文 231 件、この内訳の 3.3%オーストラリア: 引用元論文 219 件、この内訳の 3.1%ドイツ: 引用元論文 205 件、この内訳の 2.9%シンガポール: 引用元論文 193 件、この内訳の 2.8%カナダ: 引用元論文 188 件、この内訳の 2.7%韓国: 引用元論文 171 件、この内訳の 2.4%インド: 引用元論文 164 件、この内訳の 2.3%日本: 引用元論文 150 件、この内訳の 2.1%イタリア: 引用元論文 99 件、この内訳の 1.4%
0%30.6%その他 16.8%

機関

分野

  • Computer Science87.2%
  • Engineering3.1%
  • Social Sciences1.6%
  • Medicine1.5%
  • Psychology1%
  • Neuroscience0.9%
  • その他4.7%

トピック

  • Multimodal Machine Learning Applications16.2%
  • Topic Modeling10.2%
  • Natural Language Processing Techniques6.8%
  • Domain Adaptation and Few-Shot Learning6.3%
  • Advanced Image and Video Retrieval Techniques5.5%
  • Human Pose and Action Recognition4%
  • その他51%

共著者

全論文

検索で開く
  1. GIT: A Generative Image-to-text Transformer for Vision and Language

    著者: Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang - Trans. Mach. Learn. Res. 2022 被引用: 487

  2. Ferret: Refer and Ground Anything Anywhere at Any Granularity

    著者: Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang - ICLR 2024 被引用: 569

  3. MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

    著者: Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang - arXiv (Cornell University), CoRR 2024 被引用: 223

  4. An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA

    著者: Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang - AAAI Conference on Artificial Intelligence 2022 被引用: 278

  5. SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning

    著者: Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 被引用: 269

  6. Guiding Instruction-based Image Editing via Multimodal Large Language Models

    著者: Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan - ICLR 2024 被引用: 198

  7. Patient Knowledge Distillation for BERT Model Compression

    著者: Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 被引用: 297

  8. SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

    著者: Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan - arXiv (Cornell University), CoRR 2024 被引用: 112

  9. Improve Vision Language Model Chain-of-thought Reasoning

    著者: Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 被引用: 110

  10. Multimodal Foundation Models: From Specialists to General-Purpose Assistants

    著者: Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao - Foundations and Trends® in Computer Graphics and Vision, Found. Trends Comput. Graph. Vis. 2024 被引用: 134

  11. Prompting GPT-3 To Be Reliable

    著者: Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan L. Boyd-Graber, Lijuan Wang - ICLR 2023 被引用: 383

  12. Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

    著者: Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li - NeurIPS Datasets and Benchmarks 2021 被引用: 308

  13. Scaling Up Vision-Language Pretraining for Image Captioning

    著者: Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 被引用: 206

  14. Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

    著者: Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang - arXiv (Cornell University), CoRR 2024 被引用: 87

  15. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

    著者: Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 被引用: 389

  16. VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

    著者: Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu - arXiv (Cornell University), CoRR 2021 被引用: 177

  17. GRiT: A Generative Region-to-Text Transformer for Object Understanding

    著者: Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang - Lecture notes in computer science, ECCV (80) 2024 被引用: 94

  18. Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

    著者: Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, Zhe Gan - Lecture notes in computer science, ECCV (64) 2024 被引用: 71

  19. MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning

    著者: Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang - ICLR 2025 被引用: 73

  20. FreeLB: Enhanced Adversarial Training for Natural Language Understanding

    著者: Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu - ICLR 2020 被引用: 521

  21. UNITER: Learning UNiversal Image-TExt Representations

    著者: Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu - Lecture notes in computer science, ECCV (30) 2020 被引用: 1,847

  22. Large-Scale Adversarial Training for Vision-and-Language Representation Learning

    著者: Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu - Neural Information Processing Systems, NeurIPS 2020 被引用: 559

  23. Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing

    著者: Yusu Qian, Eli Bocek-Rivele, Liangchen Song, Jialing Tong, Yinfei Yang, Jiasen Lu, Wenze Hu, Zhe Gan - ArXiv.org, CoRR 2025 被引用: 44

  24. Multimodal Autoregressive Pre-training of Large Vision Encoders

    著者: Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor G. Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 被引用: 44