activity
20162024
most citedImage Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)

405 citations · 430 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Parameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems

Yuzhuo Ren, Yining Deng, David Pajak +3

In a surround view system, the image color and tone captured by multiple cameras can be different due to cameras applying auto white balance (AWB), global tone mapping (GTM) indivi…

eess.IV2021★ 1 cited

Dual Attention Network for Heart Rate and Respiratory Rate Estimation

Yuzhuo Ren, Braeden Syrnyk, Niranjan Avadhanam

Heart rate and respiratory rate measurement is a vital step for diagnosing many diseases. Non-contact camera based physiological measurement is more accessible and convenient in Te…

cs.CV2021★ 11 cited

Camera Calibration with Pose Guidance

Yuzhuo Ren, Feng Hu

Camera calibration plays a critical role in various computer vision tasks such as autonomous driving or augmented reality. Widely used camera calibration tools utilize plane patter…

cs.CV2017★ 405 cited

Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)

Ronald Salloum, Yuzhuo Ren, C. -C. Jay Kuo

In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only…

cs.CV2016★ 12 cited

A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method

Yuzhuo Ren, Chen Chen, Shangwen Li +1

The task of estimating the spatial layout of cluttered indoor scenes from a single RGB image is addressed in this work. Existing solutions to this problems largely rely on hand-cra…

cs.CV2016

GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes

Yuzhuo Ren, Chen Chen, Shangwen Li +1

An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeli…

cs.CV2016★ 1 cited

Measuring and Predicting Tag Importance for Image Retrieval

Shangwen Li, Sanjay Purushotham, Chen Chen +2

Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MI…