Kin Gwn Lore

LLNet: A deep autoencoder approach to natural low-light image enhancement

Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar · Pattern Recognition · 2016 · 1.8K citations

Image Analysis, Engineering, Computational Imaging +5

Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data

Daniel Stoecklein, Kin Gwn Lore, Michael Davies et al. · Scientific Reports · 2017 · 78 citations · Full text

Generative Adversarial Networks for Depth Map Estimation from RGB Video

Kin Gwn Lore, Kishore Reddy, Michael Giering et al. · 2018 · 53 citations

Depth Map Representation, Machine Vision, Image Analysis +14

Early Detection of Combustion Instability from Hi-speed Flame Images via Deep Learning and Symbolic Time Series Analysis

Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar et al. · Annual Conference of the PHM Society · 2015 · 38 citations · Full text

Prognostics of Combustion Instabilities from Hi-speed Flame Video using A Deep Convolutional Selective Autoencoder

Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar et al. · International Journal of Prognostics and Health Management · 2020 · 29 citations · Full text

Aeroacoustics, Combustion Instabilities, Convolutional Neural Network +13