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Cosmin Ancuţi
Also published under:Cosmin Ancuti
Affiliation
ETcTI, Universitatea Politehnica TimiŞoara
Topic
L1 Loss,Reference Image,Transmission Map,Ground Truth Image,Image Pairs,Loss Function,Mean Opinion Score,Non-homogeneous Dehazing,Optical Model,Perceptual Dimensions,Receptive Field,Smooth L1 Loss,User Study,White Balance,Atmospheric Light,Attention Map,Back-scattered Light,Branch Model,Chlorophyll,Clear Image,Color Channels,Color Correction,Color Line,Color Space,Computer Vision Applications,Contrast Sensitivity Function,Convolutional Neural Network,Correct Matches,Dark Channel,Decoding,Deep Learning,Deep Learning Techniques,Deformable Convolution,Dehazing Challenge,Exponential Linear Unit,Feature Encoder,Feature Maps,Feature Points,Filter Scale,Final Ranking,Frontal View,Functional Class,Gamma Correction,Generative Adversarial Networks,Generative Adversarial Networks Training,Global Features,Haar Wavelet,High-resolution,High-resolution Images,Histogram Matching,
Biography
Cosmin Ancuti received the Ph.D. degree from Hasselt University, Belgium, in 2009. He was a Postdoctoral Fellow with the IMINDS and Intel Exascience Laboratory (IMEC), Leuven, Belgium, from 2010 to 2012, and a Research Fellow with the University Catholique of Louvain, Belgium, from 2015 to 2017. He is currently a Senior Researcher and a Lecturer with Politehnica University Timisoara, Romania, and the Institute of Informatics and Applications, University of Girona, Spain. He is the author of more than 50 papers published in international conference proceedings and journals. His research interests include image and video enhancement techniques, computational photography, and low-level computer vision. He is a Co-Organizer of the IEEE CVPR NTIRE Workshop.