← authors · overview

• Ferret: Refer And Ground Anything Anywhere At Any Granularity
  2023 · 503 citations
• Less Is More: Clipbert For Video-and-language Learning Via Sparse Sampling
  2021 · 468 citations
• An Empirical Study Of Training End-to-end Vision-and-language Transformers
  2021 · 273 citations
• MM1: Methods, Analysis & Insights From Multimodal LLM Pre-training
  2024 · 261 citations
• Ferret-ui: Grounded Mobile UI Understanding With Multimodal Llms
  2024 · 174 citations
• Guiding Instruction-based Image Editing Via Multimodal Large Language Models
  2023 · 172 citations
• Scaling Up Vision-language Pre-training For Image Captioning
  2021 · 157 citations
• Slowfast-llava: A Strong Training-free Baseline For Video Large Language Models
  2024 · 120 citations
• Injecting Semantic Concepts Into End-to-end Image Captioning
  2021 · 113 citations
• Tactical Rewind: Self-correction Via Backtracking In Vision-and-language Navigation
  2019 · 95 citations
• LAVENDER: Unifying Video-language Understanding As Masked Language Modeling
  2022 · 50 citations
• Coarse-to-fine Vision-language Pre-training With Fusion In The Backbone
  2022 · 10 citations
• MOFI: Learning Image Representations From Noisy Entity Annotated Images
  2023
• Large-scale Adversarial Training For Vision-and-language Representation Learning
  2020
• UFO: A Unified Transformer For Vision-language Representation Learning
  2021