We present DiffInfinite, a hierarchical diffusion model that generates
a...
For widespread adoption, public security and surveillance systems must b...
This paper presents a new continuous interaction strategy with visual
fe...
Camera images are ubiquitous in machine learning research. They also pla...
The adaptation of transformers to computer vision is not straightforward...
We develop a new type of model for solving the task of inverting the
tra...
We propose a novel transformer model, capable of segmenting medical imag...
We propose an algorithm for next query recommendation in interactive dat...
We develop a rotation equivariant model for generating 3D hand meshes fr...
In this work we develop a new method, named locally permutation-equivari...
We present CpT: Convolutional point Transformer - a novel deep learning
...
Model-based Reinforcement Learning estimates the true environment throug...
Deforestation has become a significant contributing factor to climate ch...
We outline the role of forward and inverse modelling approaches in the d...
We consider the query recommendation problem in closed loop interactive
...
Search result diversification is a beneficial approach to overcome
under...
Deep learning based analysis of histopathology images shows promise in
a...
Leakage of data from publicly available Machine Learning (ML) models is ...
We propose a combination of a variational autoencoder and a transformer ...
We present Intermittent Control (IC) models as a candidate framework for...
We propose a new probabilistic method for unsupervised recovery of corru...
Application of deep learning in digital pathology shows promise on impro...
Traditional paradigms for imaging rely on the use of spatial structure e...
Gravitational wave (GW) detection is now commonplace and as the sensitiv...
We apply Generative Adversarial Networks (GANs) to the domain of digital...
We introduce a method to infer a variational approximation to the poster...
Light scattered from multiple surfaces can be used to retrieve informati...