9 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 9 cited
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network
Yeying Jin, Aashish Sharma, Robby T. Tan
Shadow removal from a single image is generally still an open problem. Most existing learning-based methods use supervised learning and require a large number of paired images (sha…
cs.CV2020
Estimation of Camera Response Function using Prediction Consistency and Gradual Refinement with an Extension to Deep Learning
Aashish Sharma, Robby T. Tan, Loong-Fah Cheong
Most existing methods for CRF estimation from a single image fail to handle general real images. For instance, EdgeCRF based on colour patches extracted from edges works effectivel…
cs.CV2020★ 3 cited
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning
Wending Yan, Aashish Sharma, Robby T. Tan
In dense foggy scenes, existing optical flow methods are erroneous. This is due to the degradation caused by dense fog particles that break the optical flow basic assumptions such…