Joint Transmission Map Estimation and Dehazing Using Deep Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2912145
Abstract: Single image haze removal is an extremely challenging problem due to its inherent ill-posed nature. Several prior-based and learning-based methods have been proposed in the literature to solve this problem and they have achieved visually… read more here.
Keywords: joint transmission; estimation dehazing; transmission map; transmission ... See more keywords
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2805813
Abstract: Numerous experimental data show that human brain can represent probability distributions and perform Bayesian inference. However, it remains unclear how the brain implements probabilistic inference in the form of neural circuits. Several models have been… read more here.
Keywords: map estimation; recurrent neural; marginal inference; estimation marginal ... See more keywords
EfficientNet-B0 Based Monocular Dense-Depth Map Estimation
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380524
Abstract: Monocular depth estimation is a hot research topic in autonomous car driving. Deep convolution neural networks (DCNN) comprising encoder and decoder with transfer learning are exploited in the proposed work for monocular depth map estimation… read more here.
Keywords: map estimation; depth map; efficientnet based; depth ... See more keywords