1. PRILAGODITEV ALGORITMOV RAČUNALNIŠKEGA VIDA NA ČLOVEŠKO ZAZNAVANJE OKOLJAGregor Koporec, 2023, doctoral dissertation Keywords: kognitivna relevanca, globoko učenje, konvolucijske nevronske mreže, ciljna populacija uporabnikov, množičenje, kategorizacija, hierarhični kompozicionalni model, segmentacija primerkov, obvladovanje zakrivanja, razločnost, sposobnost posploševanja, razložljivost, področno znanje, zlivanje segmentacij Full text (file, 31,44 MB) |
2. Kvantitativno brezkontaktno merjenje energijske porabe iz videa in 3D slikGregor Koporec, 2017, master's thesis/paper Keywords: fizična aktivnost, poraba energije, srčni utrip, optični tok, prostorski tok, strojno učenje, jedro RBF, sledilnik KCF, senzor Kinect, squash Full text (file, 22,13 MB) |
3. Uporaba računalniškega vida za napovedovanje zapečenosti piškotovNINA SEDEJ, 2023, master's thesis/paper Keywords: stanje pečenja, dinamika pečenja, računalniški vid, globoke nevronske mreže, ConvLSTM, CNN, CNN-LSTM Full text (file, 30,30 MB) |
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5. Quantitative contact-less estimation of energy expenditure from video and 3D imageryGregor Koporec, Goran Vučković, Radoje Milić, Janez Perš, 2018, original scientific article Keywords: physical activity, energy expenditure, computer vision, optical flow, scene flow, heart rate, support vector machine, RBF kernel, KCF tracker, Microsoft Kinect, time-of-flight sensor, squash Full text (file, 7,87 MB) This document has more files! More... |
6. Cognitive relevance transform for population re-targetingGregor Koporec, Andrej Košir, Aleš Leonardis, Janez Perš, 2020, original scientific article Keywords: cognitive relevance, deep learning, crowd-sourcing, target user population, categorization, classification Full text (file, 4,62 MB) This document has more files! More... |
7. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, original scientific article Keywords: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Full text (file, 2,69 MB) This document has more files! More... |