H Liu, C Li, Y Li, YJ Lee - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning. In this paper we present the first systematic study to investigate the design …
In this work, we present SEEM, a promotable and interactive model for segmenting everything everywhere all at once in an image. In SEEM, we propose a novel and versatile …
Large language models (LLMs) have notably accelerated progress towards artificial general intelligence (AGI), with their impressive zero-shot capacity for user-tailored tasks, endowing …
Although perception systems have made remarkable advancements in recent years they still rely on explicit human instruction or pre-defined categories to identify the target objects …
Humans can easily solve multimodal tasks in context with only a few demonstrations or simple instructions which current multimodal systems largely struggle to imitate. In this work …
Is vision good enough for language? Recent advancements in multimodal models primarily stem from the powerful reasoning abilities of large language models (LLMs). However the …
Visual language models (VLMs) rapidly progressed with the recent success of large language models. There have been growing efforts on visual instruction tuning to extend the …
Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened …
Z Geng, B Yang, T Hang, C Li, S Gu… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present InstructDiffusion a unified and generic framework for aligning computer vision tasks with human instructions. Unlike existing approaches that integrate prior knowledge …