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20172022
most citedSiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination

91 citations · 124 across the 8 of their papers we have counts for

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cs.CV2022★ 12 cited

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš +70

The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…

cs.CV2020★ 2 cited

Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge

Chih-Chung Hsu, Hsin-Ti Ma

Semantic segmentation is one of the most attractive research fields in computer vision. In the VIPriors challenge, only very limited numbers of training samples are allowed, leadin…

cs.CV2019

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +18

This paper reviews the AIM 2019 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting,…

cs.CV2018★ 91 cited

SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination

Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su +1

Despite generative adversarial networks (GANs) can hallucinate photo-realistic high-resolution (HR) faces from low-resolution (LR) faces, they cannot guarantee preserving the ident…

cs.CV2017★ 9 cited

CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data

Chih-Chung Hsu, Chia-Wen Lin

Given a large unlabeled set of images, how to efficiently and effectively group them into clusters based on extracted visual representations remains a challenging problem. To addre…