40 citations · 44 across the 4 of their papers we have counts for
4 papers · 1 filter
Exploiting Global and Local Attentions for Heavy Rain Removal on Single Images
Dac Tung Vu, Juan Luis Gonzalez, Munchurl Kim
Heavy rain removal from a single image is the task of simultaneously eliminating rain streaks and fog, which can dramatically degrade the quality of captured images. Most existing…
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis Gonzalez, Munchurl Kim
Self-supervised depth estimators have recently shown results comparable to the supervised methods on the challenging single image depth estimation (SIDE) task, by exploiting the ge…
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution
Taimoor Tariq, Juan Luis Gonzalez, Munchurl Kim
Deep Convolutional Neural Network (CNN) features have been demonstrated to be effective perceptual quality features. The perceptual loss, based on feature maps of pre-trained CNN's…
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network
Juan Luis Gonzalez, Muhammad Sarmad, Hyunjoo J. Lee +1
Deep convolutional neural networks (DCNN) have recently shown promising results in low-level computer vision problems such as optical flow and disparity estimation, but still, have…