Search Results for author:
Found 6 papers, 3 papers with code
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
Depth estimation from a single image is an important task that can be applied to various fields in computer vision, and has grown rapidly with the development of convolutional neural networks.
Ranked #26 on
Monocular Depth Estimation
on KITTI Eigen split
TiVGAN: Text to Image to Video Generation with Step-by-Step Evolutionary Generator
Advances in technology have led to the development of methods that can create desired visual multimedia.
Continual Learning with Extended Kronecker-factored Approximate Curvature
We propose a quadratic penalty method for continual learning of neural networks that contain batch normalization (BN) layers.
Residual Continual Learning
We propose a novel continual learning method called Residual Continual Learning (ResCL).
Generating a Fusion Image: One's Identity and Another's Shape
Generating a novel image by manipulating two input images is an interesting research problem in the study of generative adversarial networks (GANs).
A Gift From Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
We introduce a novel technique for knowledge transfer, where knowledge from a pretrained deep neural network (DNN) is distilled and transferred to another DNN.
