14 citations · 33 across the 6 of their papers we have counts for
7 papers · 1 filter
UPSCALE: Unconstrained Channel Pruning
Alvin Wan, Hanxiang Hao, Kaushik Patnaik +5
As neural networks grow in size and complexity, inference speeds decline. To combat this, one of the most effective compression techniques -- channel pruning -- removes channels fr…
Improving Building Segmentation for Off-Nadir Satellite Imagery
Hanxiang Hao, Sriram Baireddy, Kevin LaTourette +4
Automatic building segmentation is an important task for satellite imagery analysis and scene understanding. Most existing segmentation methods focus on the case where the images a…
FaR-GAN for One-Shot Face Reenactment
Hanxiang Hao, Sriram Baireddy, Amy R. Reibman +1
Animating a static face image with target facial expressions and movements is important in the area of image editing and movie production. This face reenactment process is challeng…
Deepfakes Detection with Automatic Face Weighting
Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda +8
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms. Advanced video manipulation tools enable the generation of highly real…
An Attention-Based System for Damage Assessment Using Satellite Imagery
Hanxiang Hao, Sriram Baireddy, Emily R. Bartusiak +6
When disaster strikes, accurate situational information and a fast, effective response are critical to save lives. Widely available, high resolution satellite images enable emergen…
A Utility-Preserving GAN for Face Obscuration
Hanxiang Hao, David Güera, Amy R. Reibman +1
From TV news to Google StreetView, face obscuration has been used for privacy protection. Due to recent advances in the field of deep learning, obscuration methods such as Gaussian…
Robustness Analysis of Face Obscuration
Hanxiang Hao, David Güera, János Horváth +2
Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy. Sharing sensitive content where obscuration or redaction techniques have failed to comple…