EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements

no code implementations • 20 Dec 2023 • Xin Xu, JinMan Park, Paul Fieguth

Single-image super-resolution (SISR) has seen significant advancements through the integration of deep learning.

Computational Efficiency Image Super-Resolution

Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?

no code implementations • 2 Jun 2023 • JinMan Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul Fieguth

Unsupervised domain adaptation (UDA) aims to bridge the gap between source and target domains in the absence of target domain labels using two main techniques: input-level alignment (such as generative modeling and stylization) and feature-level alignment (which matches the distribution of the feature maps, e. g. gradient reversal layers).

Domain Generalization Image Classification +3

Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

no code implementations • 9 Jun 2022 • JinMan Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul Fieguth

Egocentric 3D human pose estimation (HPE) from images is challenging due to severe self-occlusions and strong distortion introduced by the fish-eye view from the head mounted camera.

3D Human Pose Estimation 3D Pose Estimation