IEEE

LGR-NET: Language Guided Reasoning Network for Referring Expression Comprehension

Abstract: Referring Expression Comprehension (REC) is a fundamental task in the vision and language domain, which aims to locate an image region according to a natural language expression. REC ...
GitHub

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...
GitHub

PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction (CVPR 2025)

[2025.3.6] [Update🔥] Please place any models that need to be compatible with pdrop in this issue [2025.2.27] 🚀 Our paper has been accepted by CVPR 2025!!! [2024.10.24] 🚀 Our paper has been featured ...
IEEE

NVILA: Efficient Frontier Visual Language Models

Abstract: Visual language models (VLMs) have made significant advances in accuracy in recent years. However, their efficiency has received much less attention. This paper introduces NVILA, a family of ...

Dan Ramirez: Your tone-of-voice guide isn’t fit for the AI era

Dan Ramirez says tone-of-voice guides were built for human-speed marketing. This leaves brands exposed as AI accelerates ...