🧑🔬 Who cites Tamara Berg534 citations of their works from 467 papers of our library (of the 140 884 whose bibliographies we read) · 54 with a page here, the most cited first · page 1 of 3 · ← Tamara Berg
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Kelvin Xu, Jimmy Ba, Ryan Kiros, et al. 2015 · 7 483 citations Improved Baselines with Visual Instruction Tuning Haotian Liu, Chunyuan Li, Yuheng Li, et al. 2023 · 2 557 citations UNITER: UNiversal Image-TExt Representation Learning Yen-Chun Chen, Linjie Li, Licheng Yu, et al. 2019 · 2 344 citations ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu, Dhruv Batra, Devi Parikh, et al. 2019 · 2 217 citations Microsoft COCO Captions: Data Collection and Evaluation Server Xinlei Chen, Hao Fang, Tsung-Yi Lin, et al. 2015 · 1 859 citations VisualBERT: A Simple and Performant Baseline for Vision and Language Liunian Harold Li, Mark Yatskar, Da Yin, et al. 2019 · 1 510 citations Generation and Comprehension of Unambiguous Object Descriptions Junhua Mao, Jonathan Huang, Alexander Toshev, et al. 2015 · 1 358 citations Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel 2014 · 1 315 citations Modeling Context in Referring Expressions Licheng Yu, Patrick Poirson, Shan Yang, et al. 2016 · 1 165 citations MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models Deyao Zhu, Jun Chen, Xiaoqian Shen, et al. 2023 · 1 105 citations VL-BERT: Pre-training of Generic Visual-Linguistic Representations Weijie Su, Xizhou Zhu, Yue Cao, et al. 2019 · 1 008 citations Qwen2.5-VL Technical Report Shuai Bai, Keqin Chen, Xuejing Liu, et al. 2025 · 948 citations MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Xiang Yue, Yuansheng Ni, Kai Zhang, et al. 2023 · 948 citations Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond Jinze Bai, Shuai Bai, Shusheng Yang, et al. 2023 · 913 citations Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution Peng Wang, Shuai Bai, Sinan Tan, et al. 2024 · 819 citations TVQA: Localized, Compositional Video Question Answering Jie Lei, Licheng Yu, Mohit Bansal, et al. 2018 · 669 citations A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2) Alane Suhr, Stephanie Zhou, Ally Zhang, et al. 2019 · 640 citations Show and Tell: A Neural Image Caption Generator Oriol Vinyals, Alexander Toshev, Samy Bengio, et al. 2014 · 606 citations How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Zhe Chen, Weiyun Wang, Hao Tian, et al. 2024 · 529 citations Deep Visual-Semantic Alignments for Generating Image Descriptions Andrej Karpathy, Li Fei-Fei 2014 · 493 citations OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework Peng Wang, An Yang, Rui Men, et al. 2022 · 452 citations MVBench: A Comprehensive Multi-modal Video Understanding Benchmark Kunchang Li, Yali Wang, Yinan He, et al. 2023 · 441 citations ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Lin Chen, Jinsong Li, Xiaoyi Dong, et al. 2023 · 441 citations LLaVA-OneVision: Easy Visual Task Transfer Bo Li, Yuanhan Zhang, Dong Guo, et al. 2024 · 440 citations InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Zhe Chen, Jiannan Wu, Wenhai Wang, et al. 2023 · 409 citations ↑ back to top
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