4 papers · 1 filter
Non-Learning Low-Light Stereo Vision
Jason Wang, Lucas Nguyen, Hyunseung Eom +2
We present a non-learning stereo framework for disparity estimation from severely noisy images. Using the Field of Junctions (FoJ), it retains coarse visual features stable under s…
Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries
Wei Xu, Charles James Wagner, Junjie Luo +1
Extracting depth information from photon-limited, defocused images is challenging because depth from defocus (DfD) relies on accurate estimation of defocus blur, which is fundament…
CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks
Wei Xu, Junjie Luo, Qi Guo
We present CT-Bound, a robust and fast boundary detection method for very noisy images using a hybrid Convolution and Transformer neural network. The proposed architecture decompos…
Generative Quanta Color Imaging
Vishal Purohit, Junjie Luo, Yiheng Chi +3
The astonishing development of single-photon cameras has created an unprecedented opportunity for scientific and industrial imaging. However, the high data throughput generated by…