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From the 1 of 61 linked papers with an AI index.

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20182025
most citedAutoNovel: Automatically Discovering and Learning Novel Visual Categories

151 citations · 284 across the 37 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

cs.CV2023

Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs

Jonathan Roberts, Timo Lüddecke, Rehan Sheikh +2

Multimodal large language models (MLLMs) have shown remarkable capabilities across a broad range of tasks but their knowledge and abilities in the geographic and geospatial domains…

cs.CV2023

SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching

Xinghui Li, Jingyi Lu, Kai Han +1

In this paper, we address the challenge of matching semantically similar keypoints across image pairs. Existing research indicates that the intermediate output of the UNet within t…

cs.CV2023

HeadSculpt: Crafting 3D Head Avatars with Text

Xiao Han, Yukang Cao, Kai Han +5

Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-lan…

cs.CL202319 cited

GPT4GEO: How a Language Model Sees the World's Geography

Jonathan Roberts, Timo Lüddecke, Sowmen Das +2

Large language models (LLMs) have shown remarkable capabilities across a broad range of tasks involving question answering and the generation of coherent text and code. Comprehensi…

cs.CV2023

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery

Bingchen Zhao, Xin Wen, Kai Han

In this paper, we address the problem of generalized category discovery (GCD), \ie, given a set of images where part of them are labelled and the rest are not, the task is to autom…

cs.CV20236 cited

SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models

Jonathan Roberts, Kai Han, Samuel Albanie

Interpreting remote sensing imagery enables numerous downstream applications ranging from land-use planning to deforestation monitoring. Robustly classifying this data is challengi…