In recent years, video generation has become a prominent generative tool...
Interference between overlapping gird patterns creates moire patterns,
d...
Text-to-image generation methods produce high-resolution and high-qualit...
We present a novel framework, Localized Image Stylization with Audio (LI...
Artificial intelligence is currently powering diverse real-world
applica...
An autonomous driving system requires a 3D object detector, which must
p...
Recent successes suggest that an image can be manipulated by a text prom...
Reducing the representational discrepancy between source and target doma...
A critical challenge of federated learning is data heterogeneity and
imb...
A number of recent self-supervised learning methods have shown impressiv...
In multi-view 3D object detection tasks, disparity supervision over
over...
We introduce a motion forecasting (behavior prediction) method that meet...
The recent success in StyleGAN demonstrates that pre-trained StyleGAN la...
We propose Occupancy Flow Fields, a new representation for motion foreca...
Federated learning often suffers from unstable and slow convergence due ...
The recent success of the generative model shows that leveraging the
mul...
Behavior prediction remains one of the most challenging tasks in the
aut...
In general, an experimental environment for deep learning assumes that t...
Deep neural networks are a key component of behavior prediction and moti...
Recent success suggests that deep neural control networks are likely to ...
Many researchers both in academia and industry have long been interested...
Inspired by human vision, we propose a new periphery-fovea multi-resolut...
The paper begins with a novel variational formulation of Duffing equatio...
Deep neural perception and control networks have become key components o...
Deep neural perception and control networks are likely to be a key compo...