Fetching the paper…
Reading the bibliography…
The emerging technology of snapshot compressive imaging (SCI) enables capturing high dimensional (HD) data in an efficient way.
Hyperspectral image superresolution by transfer learning
Yuan, Y., Zheng, X., Lu, X.: · 1974
Earlier work this paper cites.
Anomaly detection in hyperspectral images based on low-rank and sparse representation
Xu, Y., Wu, Z., Li, J., Plaza, A., Wei, Z.: · 2000
Earlier work this paper cites.
Classification of hyperspectral remote sensing images with support vector machines
Melgani, F., Bruzzone, L.: · 2004
Earlier work this paper cites.
Image quality assessment: From error visibility to structural similarity
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P., et al.: · 2004
Earlier work this paper cites.
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
Candès, E.J., Romberg, J., Tao, T.: · 2006
Earlier work this paper cites.
Compressed sensing
Donoho, D.L.: · 2006
Earlier work this paper cites.
Compressed sensing
Donoho, D.L.: · 2006
Earlier work this paper cites.
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
Emmanuel, C., Romberg, J., Tao, T.: · 2006
Earlier work this paper cites.
Hyperspectral remote sensing: principles and applications
Borengasser, M., Hungate, W.S., Watkins, R.: · 2007
Earlier work this paper cites.
A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration
Bioucas-Dias, J., Figueiredo, M.: · 2007
Earlier work this paper cites.
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
M. A. T. Figueiredo, ., R. D. Nowak, ., Wright, S.J.: · 2007
Earlier work this paper cites.
Multispectral Imaging Using Multiplexed Illumination
Park, J., Lee, M., Grossberg, M.D., Nayar, S.K.: · 2007
Earlier work this paper cites.
Single disperser design for coded aperture snapshot spectral imaging
Wagadarikar, A., John, R., Willett, R., Brady, D.: · 2008
Earlier work this paper cites.
Single disperser design for coded aperture snapshot spectral imaging
Wagadarikar, A., John, R., Willett, R., Brady, D.: · 2008
Earlier work this paper cites.
Recent advances in techniques for hyperspectral image processing
Plaza, A., Benediktsson, J.A., Boardman, J.W., Brazile, J., Bruzzone, L., Camps-Valls, G., Chanussot, J., Fauvel, M., Gamba, P., Gualtieri, A., et al.: · 2009
Earlier work this paper cites.
Video rate spectral imaging using a coded aperture snapshot spectral imager
Wagadarikar, A.A., Pitsianis, N.P., Sun, X., Brady, D.J.: · 2009
Earlier work this paper cites.
P2c2: Programmable pixel compressive camera for high speed imaging
Reddy, D., Veeraraghavan, A., Chellappa, R.: · 2011
Earlier work this paper cites.
Distributed optimization and statistical learning via the alternating direction method of multipliers
Boyd, S., Parikh, N., Chu, E.: · 2011
Earlier work this paper cites.
3d imaging spectroscopy for measuring hyperspectral patterns on solid objects
Kim, M.H., Harvey, T.A., Kittle, D.S., Rushmeier, H., Dorsey, J., Prum, R.O., Brady, D.J.: · 2012
Earlier work this paper cites.
Coded aperture compressive temporal imaging
Llull, P., Liao, X., Yuan, X., Yang, J., Kittle, D., Carin, L., Sapiro, G., Brady, D.J.: · 2013
Earlier work this paper cites.
Coded aperture compressive temporal imaging
Llull, P., Liao, X., Yuan, X., Yang, J., Kittle, D., Carin, L., Sapiro, G., Brady, D.J.: · 2013
Earlier work this paper cites.
Low-cost compressive sensing for color video and depth
Yuan, X., Llull, P., Liao, X., Yang, J., Brady, D.J., Sapiro, G., Carin, L.: · 2014
Earlier work this paper cites.
Video compressive sensing using gaussian mixture models
Yang, J., Yuan, X., Liao, X., Llull, P., Brady, D.J., Sapiro, G., Carin, L.: · 2014
Earlier work this paper cites.
Generalized alternating projection for weighted- ℓ 2 , 1 \ell_{2,1} minimization with applications to model-based compressive sensing
Liao, X., Li, H., Carin, L.: · 2014
Earlier work this paper cites.
Weighted nuclear norm minimization with application to image denoising
Gu, S., Zhang, L., Zuo, W., Feng, X.: · 2014
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D.P., Ba, J.: · 2014
Cited alongside, same era.
Compressive hyperspectral imaging with side information
Yuan, X., Tsai, T.H., Zhu, R., Llull, P., Brady, D., Carin, L.: · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., Brox, T.: · 2015
Cited alongside, same era.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S., Szegedy, C.: · 2015
Cited alongside, same era.
Structured illumination temporal compressive microscopy
Squeeze-and-excitation networks
Hu, J., Shen, L., Sun, G.: · 2018
Later among the works it cites.
Rank minimization for snapshot compressive imaging
Liu, Y., Yuan, X., Suo, J., Brady, D.J., Dai, Q.: · 2018
Later among the works it cites.
Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
Zhang, K., Zuo, W., Zhang, L.: · 2018
Later among the works it cites.
Image super-resolution using very deep residual channel attention networks
Zhang, Y., Li, K., Li, K., Wang, L., Zhong, B., Fu, Y.: · 2018
Later among the works it cites.
Rank minimization for snapshot compressive imaging
Liu, Y., Yuan, X., Suo, J., Brady, D., Dai, Q.: · 2019
Later among the works it cites.
λ \lambda -net: Reconstruct hyperspectral images from a snapshot measurement
Miao, X., Yuan, X., Pu, Y., Athitsos, V.: · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yuan, X., Pang, S.: · 2016
Cited alongside, same era.
Generalized alternating projection based total variation minimization for compressive sensing
Yuan, X.: · 2016
Cited alongside, same era.
Adaptive nonlocal sparse representation for dual-camera compressive hyperspectral imaging
Wang, L., Xiong, Z., Shi, G., Wu, F., Zeng, W.: · 2016
Cited alongside, same era.
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
Cited alongside, same era.
Generalized alternating projection based total variation minimization for compressive sensing
Yuan, X.: · 2016
Cited alongside, same era.
Deep admm-net for compressive sensing mri
Yang, Y., Sun, J., Li, H., Xu, Z.: · 2016
Cited alongside, same era.
Zagoruyko, S., Komodakis, N.: · 2016
Cited alongside, same era.
Hyperreconnet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging
Wang, L., Zhang, T., Fu, Y., Huang, H.: · 2019
Later among the works it cites.
Hyperspectral image reconstruction using a deep spatial-spectral prior
Wang, L., Sun, C., Fu, Y., Kim, M.H., Huang, H.: · 2019
Later among the works it cites.
Hyperspectral image reconstruction using a deep spatial-spectral prior
Wang, L., Sun, C., Fu, Y., Kim, M.H., Huang, H.: · 2019
Later among the works it cites.
Snapshot multifocal light field microscopy
He, K., Wang, X., Wang, Z.W., Yi, H., Scherer, N.F., Katsaggelos, A.K., Cossairt, O.: · 2020
Later among the works it cites.
End-to-end low cost compressive spectral imaging with spatial-spectral self-attention
Meng, Z., Ma, J., Yuan, X.: · 2020
Later among the works it cites.
Dnu: Deep non-local unrolling for computational spectral imaging
Wang, L., Sun, C., Zhang, M., Fu, Y., Huang, H.: · 2020
Later among the works it cites.
Gap-net for snapshot compressive imaging
Meng, Z., Jalali, S., Yuan, X.: · 2020
Later among the works it cites.
Birnat: Bidirectional recurrent neural networks with adversarial training for video snapshot compressive imaging
Cheng, Z., Lu, R., Wang, Z., Zhang, H., Chen, B., Meng, Z., Yuan, X.: · 2020
Later among the works it cites.
Deep learning for video compressive sensing
Qiao, M., Meng, Z., Ma, J., Yuan, X.: · 2020
Later among the works it cites.
Snapshot spatial–temporal compressive imaging
Qiao, M., Liu, X., Yuan, X.: · 2020
Later among the works it cites.
Plug-and-play algorithms for large-scale snapshot compressive imaging
Yuan, X., Liu, Y., Suo, J., Dai, Q.: · 2020
Later among the works it cites.
Snapshot compressive imaging: Theory, algorithms, and applications
Yuan, X., Brady, D.J., Katsaggelos, A.K.: · 2021
Closest in time.
Self-supervised neural networks for spectral snapshot compressive imaging
Meng, Z., Yu, Z., Xu, K., Yuan, X.: · 2021
Closest in time.
Snapshot compressive imaging: Theory, algorithms, and applications
Yuan, X., Brady, D.J., Katsaggelos, A.K.: · 2021
Closest in time.
Deep gaussian scale mixture prior for spectral compressive imaging
Huang, T., Dong, W., Yuan, X., Wu, J., Shi, G.: · 2021
Closest in time.
Accurate and fast image denoising via attention guided scaling
Zhang, Y., Li, K., Li, K., Sun, G., Kong, Y., Fu, Y.: · 2021
Closest in time.
Deep plug-and-play priors for spectral snapshot compressive imaging
Zheng, S., Liu, Y., Meng, Z., Qiao, M., Tong, Z., Yang, X., Han, S., Yuan, X.: · 2021
Closest in time.