Depth estimation on mtk data with a CNN model trained for cost computation (MCCNN)
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Code for: "Learning To Adapt For Stereo" accepted at CVPR2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.
Tensorflow implementation of the paper "Efficient Deep Learning for Stereo Matching"
