activity
20222026
most citedGet your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

36 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +89

This paper presents a review of the second LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aims to advance unified image restoration under diverse real-wo…

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2024

GT-Rain Single Image Deraining Challenge Report

Howard Zhang, Yunhao Ba, Ethan Yang +20

This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phen…

cs.CV2023★ 1 cited

FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer

Sunder Ali Khowaja, Lewis Nkenyereye, Ghulam Mujtaba +3

With the surge in emerging technologies such as Metaverse, spatial computing, and generative AI, the application of facial style transfer has gained a lot of interest from research…

cs.CV2022

2nd Place Solutions for UG2+ Challenge 2022 -- DNet for Mitigating Atmospheric Turbulence from Images

Sunder Ali Khowaja, Ik Hyun Lee, Jiseok Yoon

This technical report briefly introduces to the DNet proposed by our team "TUK-IKLAB" for Atmospheric Turbulence Mitigation in Challenge at CVPR 2022. In the light…

cs.CR2022★ 36 cited

Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data

Sunder Ali Khowaja, Ik Hyun Lee, Kapal Dev +2

The past decade has seen a rapid adoption of Artificial Intelligence (AI), specifically the deep learning networks, in Internet of Medical Things (IoMT) ecosystem. However, it has…