Fetching the paper…
Reading the bibliography…
The UG$^{2+}$ challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios.
Y.-L. Chen and C.-T. Hsu, “A generalized low-rank appearance model for spatio-temporally correlated rain streaks,” in
1975
Earlier work this paper cites.
E. H. Land, “The retinex theory of color vision,”
1977
Earlier work this paper cites.
S. M. Pizer, R. E. Johnston, J. P. Ericksen, B. C. Yankaskas, and K. E. Muller, “Contrast-limited adaptive histogram equalization: speed and effectiveness,” in
1990
Earlier work this paper cites.
D. J. Jobson, Z. Rahman, and G. A. Woodell, “Properties and performance of a center/surround retinex,”
1997
Earlier work this paper cites.
——, “A multiscale retinex for bridging the gap between color images and the human observation of scenes,”
1997
Earlier work this paper cites.
D. Martin, C. Fowlkes, D. Tal, and J. Malik, “A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,” in
2001
Earlier work this paper cites.
F. Drago, K. Myszkowski, T. Annen, and N. Chiba, “Adaptive logarithmic mapping for displaying high contrast scenes,” in
2003
Earlier work this paper cites.
D. G. Lowe, “Distinctive image features from scale-invariant keypoints,”
2004
Earlier work this paper cites.
Y. li Tian, “Evaluation of face resolution for expression analysis,” in
2004
Earlier work this paper cites.
——, “Detection and removal of rain from videos,” in
2004
Earlier work this paper cites.
C. Shan, S. Gong, and P. McOwan, “Recognizing facial expressions at low resolution,” in
2005
Earlier work this paper cites.
——, “When does a camera see rain?” in
2005
Earlier work this paper cites.
H. R. Sheikh, M. F. Sabir, and A. C. Bovik, “A statistical evaluation of recent full reference image quality assessment algorithms,”
2006
Earlier work this paper cites.
K. Garg and S. K. Nayar, “Photorealistic rendering of rain streaks,” in
2006
Earlier work this paper cites.
X. Zhang, H. Li, Y. Qi, W. K. Leow, and T. K. Ng, “Rain removal in video by combining temporal and chromatic properties,” in
2006
Earlier work this paper cites.
R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman, “Removing camera shake from a single photograph,” in
2006
Earlier work this paper cites.
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3-d transform-domain collaborative filtering,”
2007
Earlier work this paper cites.
B. Z. Yao, X. Yang, and S.-C. Zhu, “Introduction to a large-scale general purpose ground truth database: Methodology, annotation tool and benchmarks,” in
2007
Earlier work this paper cites.
M. Abdullah-Al-Wadud, M. H. Kabir, M. A. A. Dewan, and O. Chae, “A dynamic histogram equalization for image contrast enhancement,”
2007
Earlier work this paper cites.
——, “Vision and rain,”
2007
Earlier work this paper cites.
R. Fattal, “Single image dehazing,”
2008
Earlier work this paper cites.
N. Brewer and N. Liu, “Using the shape characteristics of rain to identify and remove rain from video,” in
2008
Earlier work this paper cites.
A. Torralba, R. Fergus, and W. T. Freeman, “80 million tiny images: A large data set for nonparametric object and scene recognition,”
2008
Earlier work this paper cites.
P. H. Hennings-Yeomans, S. Baker, and B. V. K. V. Kumar, “Simultaneous super-resolution and feature extraction for recognition of low-resolution faces”, in
2008
Earlier work this paper cites.
L. Stasiak, A. Pacut, and R. Vincente-Garcia, “Face tracking and recognition in low quality video sequences with the use of particle filtering,” in
2009
Earlier work this paper cites.
L. Kratz and K. Nishino, “Factorizing scene albedo and depth from a single foggy image,” in
2009
Earlier work this paper cites.
P. Liu, J. Xu, J. Liu, and X. Tang, “Pixel based temporal analysis using chromatic property for removing rain from videos,” in
2009
Earlier work this paper cites.
J. Yang, J. Wright, T. S. Huang, and Y. Ma, “Image super-resolution via sparse representation,”
2010
Earlier work this paper cites.
P. C. Barnum, S. Narasimhan, and T. Kanade, “Analysis of rain and snow in frequency space,”
2010
Earlier work this paper cites.
J. Yang, J. Wright, T. S. Huang and Y. Ma, “Image Super-Resolution Via Sparse Representation,” in
2010
Earlier work this paper cites.
K. He, J. Sun, and X. Tang, “Single image haze removal using dark channel prior,”
2011
Earlier work this paper cites.
H. Zhang, J. Yang, Y. Zhang, N. M. Nasrabadi, and T. S. Huang, “Close the loop: Joint blind image restoration and recognition with sparse representation prior,” in
2011
Earlier work this paper cites.
M. Grgic, K. Delac, and S. Grgic, “SCface — surveillance cameras face database,”
2011
Earlier work this paper cites.
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C. Chen, J. T. Lee, S. Mukherjee, J. K. Aggarwal, H. Lee, L. Davis, E. Swears, X. Wang, Q. Ji, K. Reddy, M. Shah, C. Vondrick, H. Pirsiavash, D. Ramanan, J. Yuen, A. Torralba, B. Song, A. Fong, A. Roy-Chowdhury, and M. Desai, “A large-scale benchmark dataset for event recognition in surveillance video,” in
2011
Earlier work this paper cites.
J. Bossu, N. Hautière, and J.-P. Tarel, “Rain or snow detection in image sequences through use of a histogram of orientation of streaks,”
2011
Earlier work this paper cites.
A. K. Tripathi and S. Mukhopadhyay, “A probabilistic approach for detection and removal of rain from videos,”
2011
Earlier work this paper cites.
X. Dong, G. Wang, Y. Pang, W. Li, J. Wen, W. Meng, and Y. Lu, “Fast efficient algorithm for enhancement of low lighting video,” in
2011
Earlier work this paper cites.
M. Bevilacqua, A. Roumy, C. Guillemot, and M. line Alberi Morel, “Low-complexity single-image super-resolution based on nonnegative neighbor embedding,” in
2012
Earlier work this paper cites.
R. Zeyde, M. Elad, and M. Protter, “On single image scale-up using sparse-representations,” in
2012
Earlier work this paper cites.
K. Nishino, L. Kratz, and S. Lombardi, “Bayesian defogging,”
2012
Earlier work this paper cites.
L. W. Kang, C. W. Lin, and Y. H. Fu, “Automatic single-image-based rain streaks removal via image decomposition,”
2012
Earlier work this paper cites.
——, “Video post processing: low-latency spatiotemporal approach for detection and removal of rain,”
2012
Earlier work this paper cites.
W. W. W. Zou and P. C. Yuen, “Very low resolution face recognition problem,”
2012
Earlier work this paper cites.
A. Dutta, R. Veldhuis, and L. Spreeuwers, “The impact of image quality on the performance of face recognition,” in
2012
Earlier work this paper cites.
X. Zhu, C. C. Loy, and S. Gong, “Video synopsis by heterogeneous multi-source correlation,” in
2013
Earlier work this paper cites.
Z. Wang, H. Li, Q. Ling, and W. Li, “Robust temporal-spatial decomposition and its applications in video processing,”
2013
Earlier work this paper cites.
H. Li, Z. Lu, Z. Wang, Q. Ling, and W. Li, “Detection of blotch and scratch in video based on video decomposition,”
2013
Earlier work this paper cites.
J. Ren, J. Liu, and Z. Guo, “Context-aware sparse decomposition for image denoising and super-resolution,”
2013
Earlier work this paper cites.
Z. Yu, H. Li, Z. Wang, Z. Hu, and C. W. Chen, “Multi-level video frame interpolation: Exploiting the interaction among different levels,”
2013
Earlier work this paper cites.
J. Zhou and F. Zhou, “Single image dehazing motivated by retinex theory,” in
2013
Earlier work this paper cites.
S. Wang, J. Zheng, H. M. Hu, and B. Li, “Naturalness preserved enhancement algorithm for non-uniform illumination images,”
2013
Earlier work this paper cites.
J. H. Kim, C. Lee, J. Y. Sim, and C. S. Kim, “Single-image deraining using an adaptive nonlocal means filter,” in
2013
Earlier work this paper cites.
K. Simonyan and A. Zisserman, “Two-stream convolutional networks for action recognition in videos,” in
2014
Earlier work this paper cites.
A. Ashe, “Ticketbuster: Snow causes red-light camera to issue ticket in error,”
2014
Earlier work this paper cites.
J. Shao, C. C. Loy, and X. Wang, “Scene-Independent Group Profiling in Crowd”, in
2014
Cited alongside, same era.
D. Nair, P. A. Kumar, and P. Sankaran, “An effective surround filter for image dehazing,” in
2014
Cited alongside, same era.
J. Chen and L. P. Chau, “A rain pixel recovery algorithm for videos with highly dynamic scenes,”
2014
Cited alongside, same era.
Y. Luo, Y. Xu, and H. Ji, “Removing rain from a single image via discriminative sparse coding,” in
2015
Cited alongside, same era.
G. Papandreou, L. Chen, K. P. Murphy, and A. L. Yuille, “Weakly-and semi-supervised learning of a deep convolutional network for semantic image segmentation,” in
2015
Cited alongside, same era.
J. Huang, A. Singh, and N. Ahuja, “Single image super-resolution from transformed self-exemplars,” in
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask R-CNN,” in
2017
Later among the works it cites.
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár, “Focal loss for dense object detection,”
2017
Later among the works it cites.
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie, “Feature pyramid networks for object detection,” in
2017
Later among the works it cites.
M. Najibi, P. Samangouei, R. Chellappa, and L. S. Davis, “Ssh: Single stage headless face detector,” in
2017
Later among the works it cites.
H. Jiang and E. G. Learned-Miller, “Face detection with the faster R-CNN,”
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
Z. Wang, Y. Yang, Z. Wang, S. Chang, J. Yang, and T. S. Huang, “Learning super-resolution jointly from external and internal examples,”
2015
Cited alongside, same era.
Z. Wang, Y. Yang, Z. Wang, S. Chang, W. Han, J. Yang, and T. Huang, “Self-tuned deep super resolution,” in
2015
Cited alongside, same era.
Q. Zhu, J. Mai, and L. Shao, “A fast single image haze removal algorithm using color attenuation prior,”
2015
Cited alongside, same era.
Y. Li, R. T. Tan, and M. S. Brown, “Nighttime haze removal with glow and multiple light colors,” in
2015
Cited alongside, same era.
L. Li, R. Wang, W. Wang, and W. Gao, “A low-light image enhancement method for both denoising and contrast enlarging,” in
2015
Cited alongside, same era.
V. Santhaseelan and V. K. Asari, “Utilizing local phase information to remove rain from video,”
2015
Cited alongside, same era.
2017
Later among the works it cites.
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He, “Aggregated residual transformations for deep neural networks,” in
2017
Later among the works it cites.
P. Zhu, L. Wen, D. Du, X. Bian, H. Ling, Q. Hu, Q. Nie, H. Cheng, C. Liu, X. Liu
2018
Later among the works it cites.
H. Zhang and V. M. Patel, “Density-aware single image de-raining using a multi-stream dense network,” in
2018
Later among the works it cites.
R. Qian, R. T. Tan, W. Yang, J. Su and J. Liu, “Attentive Generative Adversarial Network for Raindrop Removal from A Single Image,” in
2018
Later among the works it cites.
M. Li, J. Liu, W. Yang, X. Sun, and Z. Guo, “Structure-revealing low-light image enhancement via robust retinex model,”
2018
Later among the works it cites.
X. Ren, M. Li, W.-H. Cheng, and J. Liu, “Joint enhancement and denoising method via sequential decomposition,” in
2018
Later among the works it cites.
Xiaoshuai Zhang, Wenhan Yang, Yueyu Hu, Jiaying Liu, “DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal,” in
2018
Later among the works it cites.
R. Alp G¨¹ler, N. Neverova, and I. Kokkinos, “Densepose: Dense human pose estimation in the wild,” in
2018
Later among the works it cites.
Y. Liu, G. Zhao, B. Gong, Y. Li, R. Raj, N. Goel, S. Kesav, S. Gottimukkala, Z. Wang, W. Ren
2018
Later among the works it cites.
2018
Later among the works it cites.
V. Vašek, V. Franc, and M. Urban, “License plate recognition and super-resolution from low-resolution videos by convolutional neural networks,” in
2018
Later among the works it cites.
2018
Later among the works it cites.
J. Xu, H. Li, Z. Liang, D. Zhang, and L. Zhang, “Real-world Noisy Image Denoising: A New Benchmark,”
2018
Later among the works it cites.
C. Wei, W. Wang, W. Yang, and J. Liu, “Deep Retinex decomposition for low-light enhancement,” in
2018
Later among the works it cites.
2018
Later among the works it cites.
——, “I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images,”
2018
Later among the works it cites.
R. Qian, R. T. Tan, W. Yang, J. Su, and J. Liu, “Attentive generative adversarial network for raindrop removal from a single image,” in
2018
Later among the works it cites.
2018
Later among the works it cites.
J. Liu, S. Yang, Y. Fang, and Z. Guo, “Structure-guided image inpainting using homography transformation,”
2018
Later among the works it cites.
D. Liu, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, X. Wang, and T. S. Huang, “Learning temporal dynamics for video super-resolution: A deep learning approach,”
2018
Later among the works it cites.
——, “End-to-end united video dehazing and detection,” in
2018
Later among the works it cites.
J. Cai, S. Gu, and L. Zhang, “Learning a deep single image contrast enhancer from multi-exposure images,”
2018
Later among the works it cites.
M. Li, Q. Xie, Q. Zhao, W. Wei, S. Gu, J. Tao, and D. Meng, “Video rain streak removal by multiscale convolutional sparse coding,” in
2018
Later among the works it cites.
J. Chen, C.-H. Tan, J. Hou, L.-P. Chau, and H. Li, “Robust video content alignment and compensation for rain removal in a CNN framework,” in
2018
Later among the works it cites.
J. Liu, W. Yang, S. Yang, and Z. Guo, “Erase or fill? deep joint recurrent rain removal and reconstruction in videos,” in
2018
Later among the works it cites.
J. Redmon and A. Farhadi, “Yolov3: An incremental improvement,”
2018
Later among the works it cites.
H. Zhang and V. M. Patel, “Densely connected pyramid dehazing network,” in
2018
Later among the works it cites.
X. Tang, D. K. Du, Z. He, and J. Liu, “Pyramidbox: A context-assisted single shot face detector,” in
2018
Later among the works it cites.
2018
Later among the works it cites.
Z. Cai and N. Vasconcelos, “Cascade R-CNN: Delving into high quality object detection,” in
2018
Later among the works it cites.
O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, and J. Matas, “Deblurgan: Blind motion deblurring using conditional adversarial networks,” in
2018
Later among the works it cites.
2019
Closest in time.
Jiaying Liu, Sifeng Xia, and Wenhan Yang, “Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction,” in
2019
Closest in time.
Jiaying Liu, Sifeng Xia, Wenhan Yang, Mading Li, and Dong Liu, “One-for-All: Grouped Variation Network Based Fractional Interpolation in Video Coding,” in
2019
Closest in time.
Dezhao Wang, Sifeng Xia, Wenhan Yang, Yueyu Hu, Jiaying Liu, “Partition Tree Guided Progressive Rethinking Network for in-Loop Filtering of HEVC,” in
2019
Closest in time.
B. Li, W. Ren, D. Fu, D. Tao, D. Feng, W. Zeng, and Z. Wang, “Benchmarking single-image dehazing and beyond,”
2019
Closest in time.
Y. P. Loh and C. S. Chan, “Getting to know low-light images with the exclusively dark dataset,”
2019
Closest in time.
S. Li, I. B. Araujo, W. Ren, Z. Wang, E. K. Tokuda, R. H. Junior, R. Cesar-Junior, J. Zhang, X. Guo, and X. Cao, “Single image deraining: A comprehensive benchmark analysis,” in
2019
Closest in time.
W. Ren, J. Zhang, X. Xu, L. Ma, X. Cao, G. Meng, and W. Liu, “Deep video dehazing with semantic segmentation,”
2019
Closest in time.
2019
Closest in time.
2019
Closest in time.
Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li, Xudong Zou, “Selective refinement network for high performance face detection,” in
2019
Closest in time.
J. Li, Y. Wang, C. Wang, Y. Tai, J. Qian, J. Yang, C. Wang, J. Li, and F. Huang, “DSFD: Dual shot face detector,” in
2019
Closest in time.
K. Zhang, W. Zuo, and L. Zhang, “Deep plug-and-play super-resolution for arbitrary blur kernels,” in
2019
Closest in time.
Y. Zhang, S. Kwong, and S. Wang, “Machine learning based video coding optimizations: A survey,”
2020
Closest in time.
W. Yang, R. T. Tan, J. Feng, J. Liu, S. Yan and Z. Guo, “Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks,” in
2020
Closest in time.
Yueyu Hu, Wenhan Yang, Jiaying Liu, “Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression,” in
2020
Closest in time.
X. Zhang, P. Shen, L. Luo, L. Zhang, and J. Song, “Enhancement and noise reduction of very low light level images,” in
2037
Closest in time.