activity
20142026
most citedDomain Adaptive Ensemble Learning

277 citations · 1.7k across the 70 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.GR2023★ 2 cited

SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting

Kaichen Zhou, Lanqing Hong, Xinhai Chang +7

A key challenge in fine-grained 3D-based interactive editing is the absence of an efficient representation that balances diverse modifications with high-quality view synthesis unde…

cs.CV2023

Optimisation-Based Multi-Modal Semantic Image Editing

Bowen Li, Yongxin Yang, Steven McDonagh +3

Image editing affords increased control over the aesthetics and content of generated images. Pre-existing works focus predominantly on text-based instructions to achieve desired im…

cs.CL2023★ 4 cited

OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning

Jiazheng Li, Runcong Zhao, Yongxin Yang +2

The remarkable performance of pre-trained large language models has revolutionised various natural language processing applications. Due to huge parametersizes and extensive runnin…

cs.LG2023★ 3 cited

ChiroDiff: Modelling chirographic data with Diffusion Models

Ayan Das, Yongxin Yang, Timothy Hospedales +2

Generative modelling over continuous-time geometric constructs, a.k.a such as handwriting, sketches, drawings etc., have been accomplished through autoregressive distributions. Suc…

cs.CV2023★ 1 cited

Learning to Name Classes for Vision and Language Models

Sarah Parisot, Yongxin Yang, Steven McDonagh

Large scale vision and language models can achieve impressive zero-shot recognition performance by mapping class specific text queries to image content. Two distinct challenges tha…