Search Results for author:
Found 7 papers, 4 papers with code
An Improved Variational Method for Image Denoising
The total variation (TV) method is an image denoising technique that aims to reduce noise by minimizing the total variation of the image, which measures the variation in pixel intensities.
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
A unique property of our Bi-Layout model is its ability to inherently detect ambiguous regions by comparing the two predictions.
No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation
Specifically on the MatterportLayout dataset it improves 3DIoU from 81. 70% to 82. 57% across the full test set and notably from 54. 80% to 59. 97% in subsets with significant ambiguity.
Effective Adapter for Face Recognition in the Wild
Traditional heuristic approaches-either training models directly on these degraded images or their enhanced counterparts using face restoration techniques-have proven ineffective, primarily due to the degradation of facial features and the discrepancy in image domains.
Dual Associated Encoder for Face Restoration
Restoring facial details from low-quality (LQ) images has remained a challenging problem due to its ill-posedness induced by various degradations in the wild.
Ranked #2 on
Blind Face Restoration
on WIDER
SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features
For each object, a customized fully convolutional search engine is created by SearchTrack by learning a set of weights for dynamic convolutions specific to the object.
Attention-based View Selection Networks for Light-field Disparity Estimation
This paper introduces a novel deep network for estimating depth maps from a light field image.
Ranked #1 on
Depth Estimation
on 4D Light Field Dataset
