no code implementations • 9 Aug 2022 • Tingtian Li, Yuk-Hee Chan, Daniel P. K. Lun
In this paper, a novel deep neural network approach for solving the reflection problem in imaging is presented.
1 code implementation • 23 May 2022 • Qiuliang Ye, Li-Wen Wang, Daniel P. K. Lun
With the success of deep learning methods in many image processing tasks, deep learning approaches have also been introduced to the phase retrieval problem recently.
no code implementations • 17 Dec 2020 • Qiuliang Ye, Yuk-Hee Chan, Michael G. Somekh, Daniel P. K. Lun
Phase retrieval with pre-defined optical masks can provide extra constraint and thus achieve improved performance.
no code implementations • 9 Sep 2020 • Rui Zhao, Daniel P. K. Lun, Kin-Man Lam
Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks.
1 code implementation • 19 Aug 2020 • Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, Daniel P. K. Lun
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography.
Ranked #2 on Image Relighting on VIDIT’20 validation set
no code implementations • 9 Jul 2020 • Rui Zhao, Tianshan Liu, Jun Xiao, Daniel P. K. Lun, Kin-Man Lam
Multi-task learning is an effective learning strategy for deep-learning-based facial expression recognition tasks.
Facial Expression Recognition Facial Expression Recognition (FER) +2
no code implementations • 28 Jun 2020 • Rui Zhao, Kin-Man Lam, Daniel P. K. Lun
Since most of the content or energy of natural images resides in the low-frequency spectrum, their transformed coefficients in the frequency domain are highly imbalanced.