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Vignetting is an inherited imaging phenomenon within almost all optical systems, showing as a radial intensity darkening toward the corners of an image.
A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses
Roger Tsai · 1987
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Michael Kass, Andrew Witkin, and Demetri Terzopoulos · 1988
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On the evolution of curves via a function of curvature. I. The classical case
Benjamin B Kimia, Allen Tannenbaum, and Steven W Zucker · 1992
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Photometric calibration of zoom lens systems
Naoki Asada, Akira Amano, and Masashi Baba · 1996
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Can we calibrate a camera using an image of a flat, textureless lambertian surface?
Sing Bing Kang and Richard Weiss · 2000
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Active contours without edges
T.F. Chan and L.A. Vese · 2001
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Applied photographic optics
Sidney Ray · 2002
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Digital image processing using MATLAB
Rafael C Gonzalez, Richard Eugene Woods, and Steven L Eddins · 2004
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Practical anti-vignetting methods for digital cameras
Wonpil Yu · 2004
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Single-image vignetting correction
Yuanjie Zheng, Stephen Lin, Chandra Kambhamettu, Jingyi Yu, and Sing Bing Kang · 2008
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Vignette and exposure calibration and compensation
Daniel B Goldman · 2010
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No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik · 2012
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Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C Bovik · 2012
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Adversarial machine learning at scale
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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NIPS 2017: Adversarial Learning Development Set
Google · 2017
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Adversarial examples in the physical world
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2017
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Pasadena: Perceptually aware and stealthy adversarial denoise attack
Yupeng Cheng, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, Wei Feng, and Yang Liu · 2020
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Adversarial exposure attack on diabetic retinopathy imagery
Yupeng Cheng, Felix Juefei-Xu, Qing Guo, Huazhu Fu, Xiaofei Xie, Shang-Wei Lin, Weisi Lin, and Yang Liu · 2020
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Making images undiscoverable from co-saliency detection
Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Xuhong Ren, Wei Feng, and Song Wang · 2020
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Zero-reference deep curve estimation for low-light image enhancement
Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, and Runmin Cong · 2020
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Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
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Tiny ImageNet
Stanford · 2017
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
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Frequency-tuned active contour model
Qing Guo, Shuifa Sun, Xuhong Ren, Fangmin Dong, Bruce Zhi Gao, and Wei Feng · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Unrestricted adversarial examples via semantic manipulation
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, and David A Forsyth · 2019
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Sparse and imperceivable adversarial attacks
Francesco Croce and Matthias Hein · 2019
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Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, and Yang Liu · 2020
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Spark: Spatial-aware online incremental attack against visual tracking
Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, and Yang Liu · 2020
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Deeprhythm: exposing deepfakes with attentional visual heartbeat rhythms
Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, and Jianjun Zhao · 2020
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Bias field poses a threat to dnn-based x-ray recognition
Binyu Tian, Qing Guo, Felix Juefei-Xu, Wen Le Chan, Yupeng Cheng, Xiaohong Li, Xiaofei Xie, and Shengchao Qin · 2020
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Amora: Black-box adversarial morphing attack
Run Wang, Felix Juefei-Xu, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, and Yang Liu · 2020
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It’s raining cats or dogs? adversarial rain attack on dnn perception
Liming Zhai, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Lei Ma, Wei Feng, Shengchao Qin, and Yang Liu · 2020
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Deepmix: Online auto data augmentation for robust visual object tracking
Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, and Jianjun Zhao · 2021
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Advhaze: Adversarial haze attack
Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, and Wei Feng · 2021
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Countering Malicious DeepFakes: Survey, Battleground, and Horizon
Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, and Yang Liu · 2021
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Fooling lidar perception via adversarial trajectory perturbation
Yiming Li, Congcong Wen, Felix Juefei-Xu, and Chen Feng · 2021
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