37 citations · 60 across the 4 of their papers we have counts for
5 papers
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig +1
In this work, we connect two distinct concepts for unsupervised domain adaptation: feature distribution alignment between domains by utilizing the task-specific decision boundary a…
Learning to Inpaint for Image Compression
Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
We study the design of deep architectures for lossy image compression. We present two architectural recipes in the context of multi-stage progressive encoders and empirically demon…
Multiple Hypothesis Colorization
Mohammad Haris Baig, Lorenzo Torresani
In this work we focus on the problem of colorization for image compression. Since color information occupies a large proportion of the total storage size of an image, a method that…
Network of Experts for Large-Scale Image Categorization
Karim Ahmed, Mohammad Haris Baig, Lorenzo Torresani
We present a tree-structured network architecture for large scale image classification. The trunk of the network contains convolutional layers optimized over all classes. At a give…
Coupled Depth Learning
Mohammad Haris Baig, Lorenzo Torresani
In this paper we propose a method for estimating depth from a single image using a coarse to fine approach. We argue that modeling the fine depth details is easier after a coarse d…