🧑🔬 Who cites Hao Fang496 citations of their works from 496 papers of our library (of the 140 884 whose bibliographies we read) · 58 with a page here, the most cited first · page 1 of 3 · ← Hao Fang
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, et al. 2016 · 6 327 citations Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations Ranjay Krishna, Yuke Zhu, Oliver Groth, et al. 2016 · 5 747 citations On the Opportunities and Risks of Foundation Models Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. 2021 · 3 044 citations ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu, Dhruv Batra, Devi Parikh, et al. 2019 · 2 217 citations Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al. 2022 · 2 108 citations Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia, Yinfei Yang, Ye Xia, et al. 2021 · 1 528 citations VisualBERT: A Simple and Performant Baseline for Vision and Language Liunian Harold Li, Mark Yatskar, Da Yin, et al. 2019 · 1 510 citations Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al. 2023 · 1 427 citations Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments Peter Anderson, Qi Wu, Damien Teney, et al. 2017 · 1 346 citations Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. 2017 · 1 030 citations VL-BERT: Pre-training of Generic Visual-Linguistic Representations Weijie Su, Xizhou Zhu, Yue Cao, et al. 2019 · 1 008 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 Learning to Ask: Neural Question Generation for Reading Comprehension Xinya Du, Junru Shao, Claire Cardie 2017 · 913 citations MMBench: Is Your Multi-modal Model an All-around Player? Yuan Liu, Haodong Duan, Yuanhan Zhang, et al. 2023 · 907 citations Learning Distributed Representations of Sentences from Unlabelled Data Felix Hill, Kyunghyun Cho, Anna Korhonen 2016 · 756 citations CIDEr: Consensus-based Image Description Evaluation Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh 2014 · 733 citations Learning To Retrieve Prompts for In-Context Learning Ohad Rubin, Jonathan Herzig, Jonathan Berant 2021 · 717 citations CoCa: Contrastive Captioners are Image-Text Foundation Models Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al. 2022 · 646 citations A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2) Alane Suhr, Stephanie Zhou, Ally Zhang, et al. 2019 · 640 citations Object Hallucination in Image Captioning Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al. 2018 · 617 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 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, et al. 2023 · 529 citations Deep Visual-Semantic Alignments for Generating Image Descriptions Andrej Karpathy, Li Fei-Fei 2014 · 493 citations A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al. 2022 · 490 citations SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang, Jiahui Yu, Adams Wei Yu, et al. 2021 · 459 citations ↑ back to top
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