Search Results for author:
Found 3 papers, 2 papers with code
A Style-aware Discriminator for Controllable Image Translation
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.
Image Manipulation
Multimodal Unsupervised Image-To-Image Translation
+1
Localization Uncertainty-Based Attention for Object Detection
Object detection has been applied in a wide variety of real world scenarios, so detection algorithms must provide confidence in the results to ensure that appropriate decisions can be made based on their results.
Neural Crossbreed: Neural Based Image Metamorphosis
We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect.
