Search Results for author: Jan Allebach

Found 5 papers, 0 papers with code

Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition

no code implementations31 Aug 2022 Gaurav Patel, Jan Allebach, Qiang Qiu

To this end, we propose a pseudo-label generation and an uncertainty-based data selection framework for semi-supervised text recognition.

Pseudo Label

HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars

no code implementations28 Mar 2022 Xiaoyu Xiang, Jon Morton, Fitsum A Reda, Lucas Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan Allebach

Compared with previous methods, our network can effectively handle the misalignment between the input and the reference without requiring facial priors and learn the aggregated reference set representation in an end-to-end manner.

Image Super-Resolution

The Blessing and the Curse of the Noise behind Facial Landmark Annotations

no code implementations30 Jul 2020 Xiaoyu Xiang, Yang Cheng, Shaoyuan Xu, Qian Lin, Jan Allebach

The evolving algorithms for 2D facial landmark detection empower people to recognize faces, analyze facial expressions, etc.

Face Alignment Facial Landmark Detection

Blockwise Based Detection of Local Defects

no code implementations6 Jun 2019 Xiaoyu Xiang, Renee Jessome, Eric Maggard, Yousun Bang, Minki Cho, Jan Allebach

Print quality is an important criterion for a printer's performance.

Three Efficient, Low-Complexity Algorithms for Automatic Color Trapping

no code implementations21 Aug 2018 Haiyin Wang, Mireille Boutin, Jeffrey Trask, Jan Allebach

The trapping method they follow is based on a hardware-friendly technique proposed by J. Trask (JTHBCT03) which is too computationally expensive for software or firmware implementation.

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