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2020 – today
- 2023
[c3]Weichen Zhang, Xiang Zhou, YuKang Cao, WenSen Feng, Chun Yuan:
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images. ICME 2023: 1757-1762- [i8]Weichen Zhang, Xiang Zhou, YuKang Cao, WenSen Feng, Chun Yuan:
MA-NeRF: Motion-Assisted Neural Radiance Fields for Face Synthesis from Sparse Images. CoRR abs/2306.10350 (2023)
2010 – 2019
- 2018
- [j12]Zhihuo Xu
, Quan Shi, Yunjin Chen, WenSen Feng, Yeqin Shao, Ling Sun, Xinming Huang:
Non-stationary speckle reduction in high resolution SAR images. Digit. Signal Process. 73: 72-82 (2018) - [j11]WenSen Feng, Peng Qiao, Yunjin Chen:
Fast and Accurate Poisson Denoising With Trainable Nonlinear Diffusion. IEEE Trans. Cybern. 48(6): 1708-1719 (2018) - [c2]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. BMVC 2018: 292 - [i7]Peng Qiao, Yong Dou, Yunjin Chen, WenSen Feng:
Learning Generic Diffusion Processes for Image Restoration. CoRR abs/1807.06216 (2018) - 2017
- [j10]Xiangli Nie, Xiayuan Huang, WenSen Feng:
A new nonlocal TV-based variational model for SAR image despeckling based on the G0 distribution. Digit. Signal Process. 68: 44-56 (2017) - [j9]WenSen Feng, Yunjin Chen:
Speckle Reduction with Trained Nonlinear Diffusion Filtering. J. Math. Imaging Vis. 58(1): 162-178 (2017) - [j8]WenSen Feng, Peng Qiao, Xuanyang Xi, Yunjin Chen:
Image Denoising via Multiscale Nonlinear Diffusion Models. SIAM J. Imaging Sci. 10(3): 1234-1257 (2017) - [c1]Peng Qiao, Yong Dou, WenSen Feng, Rongchun Li, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. ACM Multimedia 2017: 1847-1855 - [i6]Peng Qiao, Yong Dou, WenSen Feng, Yunjin Chen:
Learning Non-local Image Diffusion for Image Denoising. CoRR abs/1702.07472 (2017) - [i5]WenSen Feng, Yunjin Chen:
Speckle Reduction with Trained Nonlinear Diffusion Filtering. CoRR abs/1702.07482 (2017) - 2016
- [j7]Xuanyang Xi, Peijie Yin, Hong Qiao, Yinlin Li, WenSen Feng:
A biologically inspired model mimicking the memory and two distinct pathways of face perception. Neurocomputing 205: 349-359 (2016) - [j6]WenSen Feng, Hong Qiao, Yunjin Chen:
Poisson Noise Reduction with Higher-Order Natural Image Prior Model. SIAM J. Imaging Sci. 9(3): 1502-1524 (2016) - [i4]WenSen Feng, Hong Qiao, Yunjin Chen:
Poisson Noise Reduction with Higher-order Natural Image Prior Model. CoRR abs/1609.05722 (2016) - [i3]WenSen Feng, Peng Qiao, Xuanyang Xi, Yunjin Chen:
Image Denoising via Multi-scale Nonlinear Diffusion Models. CoRR abs/1609.06585 (2016) - 2015
- [j5]WenSen Feng, Hong Lei, Hong Qiao:
Synthetic aperture radar image despeckling via total generalised variation approach. IET Image Process. 9(3): 236-248 (2015) - [i2]WenSen Feng, Yunjin Chen:
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion. CoRR abs/1510.02930 (2015) - 2014
- [j4]WenSen Feng, Hong Lei:
Single-image super-resolution with total generalised variation and Shearlet regularisations. IET Image Process. 8(12): 833-845 (2014) - [j3]WenSen Feng, Hong Lei:
SAR Image Despeckling Using Data-Driven Tight Frame. IEEE Geosci. Remote. Sens. Lett. 11(9): 1455-1459 (2014) - [j2]Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock:
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction. IEEE Signal Process. Lett. 21(11): 1370-1374 (2014) - [j1]WenSen Feng, Hong Lei, Yang Gao:
Speckle Reduction via Higher Order Total Variation Approach. IEEE Trans. Image Process. 23(4): 1831-1843 (2014) - [i1]Yunjin Chen, WenSen Feng, René Ranftl, Hong Qiao, Thomas Pock:
A higher-order MRF based variational model for multiplicative noise reduction. CoRR abs/1404.5344 (2014)
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