Significant strides have been made using large vision-language models, l...
Interpreting the learned features of vision models has posed a longstand...
We address the task of simultaneous part-level reconstruction and motion...
Text-to-image diffusion models are gradually introduced into computer
gr...
Diffusion models have enabled high-quality, conditional image editing
ca...
A fundamental challenge of over-parameterized deep learning models is
le...
This paper presents DAHiTrA, a novel deep-learning model with hierarchic...
Shape completion is the problem of completing partial input shapes such ...
Physical representations of data offer physical and spatial ways of look...
We present a semi-supervised co-analysis method for learning 3D shape st...