75 citations · 205 across the 25 of their papers we have counts for
7 papers · 2 filters
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
Accurate depth estimation from images is a fundamental task in many applications including scene understanding and reconstruction. Existing solutions for depth estimation often pro…
Latent Filter Scaling for Multimodal Unsupervised Image-to-Image Translation
Yazeed Alharbi, Neil Smith, Peter Wonka
In multimodal unsupervised image-to-image translation tasks, the goal is to translate an image from the source domain to many images in the target domain. We present a simple metho…
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
Shang-Ta Yang, Fu-En Wang, Chi-Han Peng +3
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama. To achieve better prediction accuracy, our method leve…
How does Lipschitz Regularization Influence GAN Training?
Yipeng Qin, Niloy Mitra, Peter Wonka
Despite the success of Lipschitz regularization in stabilizing GAN training, the exact reason of its effectiveness remains poorly understood. The direct effect of -Lipschitz reg…
Facade Segmentation in the Wild
John Femiani, Wamiq Reyaz Para, Niloy Mitra +1
Urban facade segmentation from automatically acquired imagery, in contrast to traditional image segmentation, poses several unique challenges. 360-degree photospheres captured from…
Supervised Convolutional Sparse Coding
Lama Affara, Bernard Ghanem, Peter Wonka
Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks. In this work, we extend the applicability of this…