29 citations · 37 across the 4 of their papers we have counts for
8 papers
Soft Diffusion: Score Matching for General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi +2
We define a broader family of corruption processes that generalizes previously known diffusion models. To reverse these general diffusions, we propose a new objective called Soft S…
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Negin Majidi, Ehsan Amid, Hossein Talebi +1
Many learning tasks in machine learning can be viewed as taking a gradient step towards minimizing the average loss of a batch of examples in each training iteration. When noise is…
Learning to Resize Images for Computer Vision Tasks
Hossein Talebi, Peyman Milanfar
For all the ways convolutional neural nets have revolutionized computer vision in recent years, one important aspect has received surprisingly little attention: the effect of image…
Deep Perceptual Image Quality Assessment for Compression
Juan Carlos Mier, Eddie Huang, Hossein Talebi +2
Lossy Image compression is necessary for efficient storage and transfer of data. Typically the trade-off between bit-rate and quality determines the optimal compression level. This…
Projected Distribution Loss for Image Enhancement
Mauricio Delbracio, Hossein Talebi, Peyman Milanfar
Features obtained from object recognition CNNs have been widely used for measuring perceptual similarities between images. Such differentiable metrics can be used as perceptual lea…
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
Hossein Talebi, Ehsan Amid, Peyman Milanfar +1
Conducting pairwise comparisons is a widely used approach in curating human perceptual preference data. Typically raters are instructed to make their choices according to a specifi…