Fetching the paper…
Reading the bibliography…
Single-image deraining is rather challenging due to the unknown rain model.
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack
Guo, Q.; Juefei-Xu, F.; Xie, X.; Ma, L.; Wang, J.; Feng, W.; and Liu, Y. 2020b · 2002
Earlier work this paper cites.
When does a camera see rain?
Garg, K.; and Nayar, S. K. 2005 · 2005
Earlier work this paper cites.
Photorealistic Rendering of Rain Streaks
Garg, K.; and Nayar, S. K. 2006 · 2006
Earlier work this paper cites.
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
Cheng, Y.; Guo, Q.; Juefei-Xu, F.; Xie, X.; Lin, S.-W.; Lin, W.; Feng, W.; and Liu, Y. 2020a · 2007
Earlier work this paper cites.
Vision and rain
Garg, K.; and Nayar, S. K. 2007 · 2007
Earlier work this paper cites.
Video deraining and desnowing using temporal correlation and low-rank matrix completion
Kim, J.-H.; Sim, J.-Y.; and Kim, C.-S. 2015 · 2015
Earlier work this paper cites.
Rain Streak Removal Using Layer Priors
Li, Y.; Tan, R. T.; Guo, X.; Lu, J.; and Brown, M. S. 2016 · 2016
Earlier work this paper cites.
Multi-Scale Context Aggregation by Dilated Convolutions
Yu, F.; and Koltun, V. 2016 · 2016
Earlier work this paper cites.
Kernel-predicting convolutional networks for denoising Monte Carlo renderings
Bako, S.; Vogels, T.; McWilliams, B.; Meyer, M.; Novák, J.; Harvill, A.; Sen, P.; DeRose, T.; and Rousselle, F. 2017 · 2017
Earlier work this paper cites.
Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
Fu, X.; Huang, J.; Ding, X.; Liao, Y.; and Paisley, J. 2017 · 2017
Earlier work this paper cites.
Removing rain from single images via a deep detail network
Fu, X.; Huang, J.; Zeng, D.; Huang, Y.; Ding, X.; and Paisley, J. 2017 · 2017
Earlier work this paper cites.
Frequency-tuned ACM for biomedical image segmentation
Guo, Q.; Sun, S.; Dong, F.; Feng, W.; Gao, B. Z.; and Ma, S. 2017c · 2017
Cited alongside, same era.
Deep Joint Rain Detection and Removal from a Single Image
Yang, W.; Tan, R. T.; Feng, J.; Liu, J.; Guo, Z.; and Yan, S. 2017 · 2017
Cited alongside, same era.
Frequency-tuned active contour model
Guo, Q.; Sun, S.; Ren, X.; Dong, F.; Gao, B. Z.; and Feng, W. 2018 · 2018
Cited alongside, same era.
Burst Denoising with Kernel Prediction Networks
Mildenhall, B.; Barron, J. T.; Chen, J.; Sharlet, D.; Ng, R.; and Carroll, R. 2018 · 2018
Cited alongside, same era.
Attentive Generative Adversarial Network for Raindrop Removal From a Single Image
Qian, R.; Tan, R. T.; Yang, W.; Su, J.; and Liu, J. 2018 · 2018
Cited alongside, same era.
Repulsion Loss: Detecting Pedestrians in a Crowd
Wang, X.; Xiao, T.; Jiang, Y.; Shao, S.; Sun, J.; and Shen, C. 2018 · 2018
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
Ma, L.; Juefei-Xu, F.; Xue, M.; Li, B.; Li, L.; Liu, Y.; and Zhao, J. 2019 · 2019
Later among the works it cites.
Progressive Image Deraining Networks: A Better and Simpler Baseline
Ren, D.; Zuo, W.; Hu, Q.; Zhu, P.; and Meng, D. 2019 · 2019
Later among the works it cites.
Spatial attentive single-image deraining with a high quality real rain dataset
Wang, T.; Yang, X.; Xu, K.; Chen, S.; Zhang, Q.; and Lau, R. W. 2019 · 2019
Later among the works it cites.
Semi-Supervised Transfer Learning for Image Rain Removal
Wei, W.; Meng, D.; Zhao, Q.; Xu, Z.; and Wu, Y. 2019 · 2019
Later among the works it cites.
Joint rain detection and removal from a single image with contextualized deep networks
Yang, W.; Tan, R. T.; Feng, J.; Guo, Z.; Yan, S.; and Liu, J. 2019 · 2019
Later among the works it cites.
Image De-raining Using a Conditional Generative Adversarial Network
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Density-Aware Single Image De-raining Using a Multi-stream Dense Network
Zhang, H.; and Patel, V. M. 2018 · 2018
Cited alongside, same era.
Deepstellar: Model-based quantitative analysis of stateful deep learning systems
Du, X.; Xie, X.; Li, Y.; Ma, L.; Liu, Y.; and Zhao, J. 2019 · 2019
Cited alongside, same era.
Depth-attentional features for single-image rain removal
Hu, X.; Fu, C.-W.; Zhu, L.; and Heng, P.-A. 2019 · 2019
Cited alongside, same era.
Single Image Deraining: A Comprehensive Benchmark Analysis
Li, S.; Araujo, I. B.; Ren, W.; Wang, Z.; Tokuda, E. K.; Junior, R. H.; Cesar-Junior, R.; Zhang, J.; Guo, X.; and Cao, X. 2019 · 2019
Cited alongside, same era.
Adversarial Exposure Attack on Diabetic Retinopathy Imagery
Cheng, Y.; Juefei-Xu, F.; Guo, Q.; Fu, H.; Xie, X.; Lin, S.-W.; Lin, W.; and Liu, Y. 2020b
Cited in the paper.
Learning dynamic siamese network for visual object tracking
Guo, Q.; Feng, W.; Zhou, C.; Huang, R.; Wan, L.; and Wang, S. 2017a
Cited in the paper.
Zhang, H.; Sindagi, V.; and Patel, V. M. 2019 · 2019
Later among the works it cites.
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Chen, Y.-C.; Lin, Y.-Y.; Yang, M.-H.; and Huang, J.-B. 2020 · 2020
Closest in time.
Conditional Variational Image Deraining
Du, Y.; Xu, J.; Zhen, X.; Cheng, M.-M.; and Shao, L. 2020 · 2020
Closest in time.
Making Images Undiscoverable from Co-Saliency Detection
Gao, R.; ; Guo, Q.; Juefei-Xu, F.; Yu, H.; Ren, X.; Feng, W.; and Wang, S. 2020 · 2020
Closest in time.
Bias Field Poses a Threat to DNN-based X-Ray Recognition
Tian, B.; Guo, Q.; Juefei-Xu, F.; Chan, W.; Cheng, Y.; Li, X.; Xie, X.; and Qin, S. 2020 · 2020
Closest in time.