activity
20182026
most citedRecurrent Convolutional Strategies for Face Manipulation Detection in Videos

337 citations · 358 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

MEMO: Human-like Crisp Edge Detection Using Masked Edge Prediction

Jiaxin Cheng, Yue Wu, Yicong Zhou

Learning-based edge detection models trained with cross-entropy loss often suffer from thick edge predictions, which deviate from the crisp, single-pixel annotations typically prov…

cs.CV2023★ 14 cited

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation

Jiaxin Cheng, Xiao Liang, Xingjian Shi +3

Layout-to-image generation refers to the task of synthesizing photo-realistic images based on semantic layouts. In this paper, we propose LayoutDiffuse that adapts a foundational d…

cs.CV2022

Attack-Agnostic Adversarial Detection

Jiaxin Cheng, Mohamed Hussein, Jay Billa +1

The growing number of adversarial attacks in recent years gives attackers an advantage over defenders, as defenders must train detectors after knowing the types of attacks, and man…

cs.CV2021★ 3 cited

SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation

Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan +1

Unlike conventional zero-shot classification, zero-shot semantic segmentation predicts a class label at the pixel level instead of the image level. When solving zero-shot semantic…

cs.CV2021★ 4 cited

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer

Jiaxin Cheng, Ayush Jaiswal, Yue Wu +2

Neural Style Transfer (NST) has quickly evolved from single-style to infinite-style models, also known as Arbitrary Style Transfer (AST). Although appealing results have been widel…

cs.CV2019★ 337 cited

Recurrent Convolutional Strategies for Face Manipulation Detection in Videos

Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal +3

The spread of misinformation through synthetically generated yet realistic images and videos has become a significant problem, calling for robust manipulation detection methods. De…

cs.CV2019

QATM: Quality-Aware Template Matching For Deep Learning

Jiaxin Cheng, Yue Wu, Wael Abd-Almageed +1

Finding a template in a search image is one of the core problems many computer vision, such as semantic image semantic, image-to-GPS verification \etc. We propose a novel quality-a…

cs.CV2018

Image-to-GPS Verification Through A Bottom-Up Pattern Matching Network

Jiaxin Cheng, Yue Wu, Wael Abd-Almageed +1

The image-to-GPS verification problem asks whether a given image is taken at a claimed GPS location. In this paper, we treat it as an image verification problem -- whether a query…