activity
20182025
most citedEnd-to-end Projector Photometric Compensation

39 citations · 180 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2025

CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack

Zhan Li, Mingyu Zhao, Xin Dong +2

Projector-based adversarial attack aims to project carefully designed light patterns (i.e., adversarial projections) onto scenes to deceive deep image classifiers. It has potential…

cs.GR2025★ 4 cited

DPCS: Path Tracing-Based Differentiable Projector-Camera Systems

Jijiang Li, Qingyue Deng, Haibin Ling +1

Projector-camera systems (ProCams) simulation aims to model the physical project-and-capture process and associated scene parameters of a ProCams, and is crucial for spatial augmen…

cs.CV2025★ 6 cited

LAPIG: Language Guided Projector Image Generation with Surface Adaptation and Stylization

Yuchen Deng, Haibin Ling, Bingyao Huang

We propose LAPIG, a language guided projector image generation method with surface adaptation and stylization. LAPIG consists of a projector-camera system and a target textured pro…

cs.CV2025

NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images

Yue Guo, Haoxiang Liao, Haibin Ling +1

Underwater image restoration aims to remove geometric and color distortions due to water refraction, absorption and scattering. Previous studies focus on restoring either color or…

cs.CV2024★ 1 cited

GS-ProCams: Gaussian Splatting-based Projector-Camera Systems

Qingyue Deng, Jijiang Li, Haibin Ling +1

We present GS-ProCams, the first Gaussian Splatting-based framework for projector-camera systems (ProCams). GS-ProCams is not only view-agnostic but also significantly enhances the…

cs.CV2023

CompenHR: Efficient Full Compensation for High-resolution Projector

Yuxi Wang, Haibin Ling, Bingyao Huang

Full projector compensation is a practical task of projector-camera systems. It aims to find a projector input image, named compensation image, such that when projected it cancels…

cs.CV2020★ 1 cited

Modeling Deep Learning Based Privacy Attacks on Physical Mail

Bingyao Huang, Ruyi Lian, Dimitris Samaras +1

Mail privacy protection aims to prevent unauthorized access to hidden content within an envelope since normal paper envelopes are not as safe as we think. In this paper, for the fi…

cs.CV2020★ 16 cited

SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers

Bingyao Huang, Haibin Ling

Light-based adversarial attacks use spatial augmented reality (SAR) techniques to fool image classifiers by altering the physical light condition with a controllable light source,…

cs.CV2020★ 33 cited

End-to-end Full Projector Compensation

Bingyao Huang, Tao Sun, Haibin Ling

Full projector compensation aims to modify a projector input image to compensate for both geometric and photometric disturbance of the projection surface. Traditional methods usual…

cs.CV2020★ 30 cited

DeProCams: Simultaneous Relighting, Compensation and Shape Reconstruction for Projector-Camera Systems

Bingyao Huang, Haibin Ling

Image-based relighting, projector compensation and depth/normal reconstruction are three important tasks of projector-camera systems (ProCams) and spatial augmented reality (SAR).…

cs.CV2019★ 27 cited

CompenNet++: End-to-end Full Projector Compensation

Bingyao Huang, Haibin Ling

Full projector compensation aims to modify a projector input image such that it can compensate for both geometric and photometric disturbance of the projection surface. Traditional…

cs.CV2019★ 39 cited

End-to-end Projector Photometric Compensation

Bingyao Huang, Haibin Ling

Projector photometric compensation aims to modify a projector input image such that it can compensate for disturbance from the appearance of projection surface. In this paper, for…

cs.CV2018★ 23 cited

A Single-shot-per-pose Camera-Projector Calibration System For Imperfect Planar Targets

Bingyao Huang, Samed Ozdemir, Ying Tang +2

Existing camera-projector calibration methods typically warp feature points from a camera image to a projector image using estimated homographies, and often suffer from errors in c…