2 papers
cs.CV2022
Confidence Guided Depth Completion Network
Yongjin Lee, Seokjun Park, Beomgu Kang +1
The paper proposes an image-guided depth completion method to estimate accurate dense depth maps with fast computation time. The proposed network has two-stage structure. The first…
cs.LG2020
Embedding Differentiable Sparsity into Deep Neural Network
Yongjin Lee
In this paper, we propose embedding sparsity into the structure of deep neural networks, where model parameters can be exactly zero during training with the stochastic gradient des…