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20212026
most citedForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results

2 citations · 2 across the 6 of their papers we have counts for

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cs.CV2026

TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

Peng Cai, Zhaofan Zou, Shifa Liu +7

Document parsing aims to transform unstructured documents into structured and machine-readable representations. Recent advances in Vision-Language Models (VLMs) have significantly…

cs.CV2026

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

Yanbin Huang, Yisen Li, Guiyao Tie +6

Large vision-language models (LVLMs) frequently suffer from Object Hallucination (OH), wherein they generate descriptions containing objects that are not actually present in the in…

cs.CV2026

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

Ruiyang Xia, Qi Zhang, Yaowen Xu +4

The proliferation of highly realistic AI-Generated Image (AIGI) has necessitated the development of practical detection methods. While current AIGI detectors perform admirably on c…

cs.CV2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51

This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…

cs.CV2021★ 2 cited

ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results

Yinan He, Lu Sheng, Jing Shao +19

The rapid progress of photorealistic synthesis techniques has reached a critical point where the boundary between real and manipulated images starts to blur. Recently, a mega-scale…