List of papers

Paper ID 1
Yahya Ibrahim, Csaba Benedek, Balazs Nagy:
3D Point Cloud Completion Algorithm for Vehicles Based on Multi-view Projection

Paper ID 2
Daniel Barath, Gábor Valasek:
Space Partitioning RANSAC

Paper ID 3
Orkény Zováthi, Balázs Pálffy, Csaba Benedek:
Efficient Exploitation of MLS City Maps for 3D Object Detection

Paper ID 5
Sándor Gazdag and Andras Majdik:
Simultaneous tracking and rendering to accurately localize camera-equipped micro air vehicles in 3D city models

Paper ID 6
Tekla Tóth, Levente Hajder:
A Minimal Solution for Image-Based Sphere Estimation

Paper ID 9
Dominik Hirling, Horváth Péter:
Cell Segmentation and Representation with Shape Priors

Paper ID 10
Szilárd Molnár, Levente Tamás:
Representation Learning for Point Clouds with Variational Autoencoders

Paper ID 13
Timea Toth, David Bauer, Farkas Sukosd, Peter Horvath:
Fisheye transformation enhances deep learning-based single-cell phenotyping by including cellular microenvironment

Paper ID 16
Gábor Karai:
Distance-Driven Curve-Thinning on the Face-Centered Cubic Grid

Paper ID 17
Gábor Karai, Péter Kardos, Kalman Palagyi:
Topology-Preserving Reductions on (18,12) Pictures of the Face-Centered Cubic Grid

Paper ID 18
Akos Utasi:
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations

Paper ID 19
Péter Földesy, Máté Siket, Ádám Nagy, Imre Jánoki:
Correction of Overexposure in Laser Speckle Contrast Imaging

Paper ID 21
Youmna Ismaeil, Daria Stepanova, Trung-Kien Tran, Piyapat Saranrittichai, Csaba Domokos, Hendrik Blockeel:
Towards Neural Network Interpretability Using Commonsense Knowledge Graphs

Paper ID 22
Richárd Rádli, László Czúni:
Improving the Efficiency of Autoencoders for Visual Defect Detection with Orientation Normalization

Paper ID 23
Krisztian Koos, Gáspár Oláh, Tamas Balassa, Norbert Mihut, Márton Rózsa, Attila Ozsvár, Ervin Tasnadi, Pál Barzó, Nóra Faragó, László Puskás, Gábor Molnár, József Molnár, Gábor Tamás, Peter Horvath:
Automatic deep learning-driven label-free image-guided patch clamp system

Paper ID 24
Ádám Nagy, Péter Földesy, Imre Jánoki, Máté Siket, Ákos Zarándy:
Automatic Annotation to Train ROI Detection Algorithm For Premature Infant Respiration Monitoring in NICU

Paper ID 25
Laszlo Szirmay-Kalos, András Fridvalszky, László Szécsi, Dóra Varnyú:
Interactive Manipulation of Segmented 3D volumes in 3D Visualization

Paper ID 26
Zoltán Domokos, László Varga:
Frekvenciatérbeli CT rekonstrukció, komplex értékű neuronháló segítségével

Paper ID 28
Imre G. Jánoki, Ádám Nagy, Péter Földesy, Ákos Zarándy, Máté Siket, Judit Varga, Miklós Szabó:
Neonatal Activity Monitoring by Camera-based Multi-LSTM Network

Paper ID 29
Alejandro R. Rodriguez, Barnabás Holicza, Nagy, Amr M.Zsolt Vörösházi, György Bereczky, László Czúni:
Segmentation and Error Detection of PV Modules

Paper ID 30
Levente Hajder, Firas Kastantin:
Visual Tilt Correction for Vehicle-mounted Cameras

Paper ID 31
Vilmos Madaras, Karen López-Linares Román, Csaba Benedek:
Abdominal aortic aneurysm segmentation and analysis from CTA images

Paper ID 34
Alexander Sing, Csaba Beleznai, Kai Göbel:
Monocular 3D detection and reID-enhanced tracking of multiple traffic participants

Paper ID 35
Kai Göbel, Csaba Beleznai, Alexander Sing, Christian Stefan:
RGB-D structural classification of guardrails via learning from synthetic data

Paper ID 37
Viktória Burkus, András Fridvalszky, Attila Kárpáti, László Szécsi:
HLSL Radix Sort with Wave Intrinsics

Paper ID 38
György R Bogár, Mátyás Szántó, Márton Szemenyei:
Flow-only Visual Odometry: Enhancing Generalization Capabilities of ATDN vSLAM

Paper ID 39
Mátyás Szántó, Márton Szemenyei:
Efficient Occlusion Avoidance using Reinforcement Learning

Paper ID 40
Gábor Knyihár, Kristóf Csorba, Hassan Charaf:
Tabletták kioldódásának előrejelzése Raman térképek alapján lineáris regressziós modell segítségével

Paper ID 41
Lóránt Kovács, Marcell Kégl, Benedek Csaba:
Real-time foreground segmentation for surveillance applications in sequences from a Non-repetitive Circular Scanning Lidar

Paper ID 42
Zoltan Rozsa, Tamás Szirányi:
LIDAR mérések időbeli felskálázása mono kamera alapján

Paper ID 43
Balint Magyar, Márton Tokodi, András László Soós, Máté Tolvaj, Balint K Lakatos, Alexandra Fabian, Elena Surkova, Béla Merkely, Attila Kovács, Andras Horvath:
RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function

Paper ID 44
László Czúni, Amr Nagy:
Classification and Fast Incremental Learning of Steel Surface Defects with Randomized Network

Paper ID 45
Cintia L. Szücs, Bence Kovari, Hassan Charaf:
Származtatott függvénytulajdonságok alkalmazásának szerepe az online aláírás-hitelesítésben

Paper ID 46
László Czúni, Karim Ben Alaya:
2D-Projected Tree Model Reconstruction from Monocular Images and DNN

Paper ID 47
Árpád Pándy, Laszlo Kovacs, Zoltán Pánti, Dávid-Gyula Kun, Gábor Vasváry, Andras Hajdu:
Image sensor based steering signal for a digital actuator system

Paper ID 48
Gergo Bogacsovics, Andras Hajdu, Balázs Harangi:
Cell Segmentation in Digitized Pap Smear Images Using an Ensemble of Fully Convolutional Networks

Paper ID 49
Tibor Kapusi, Laszlo Kovacs, Andras Hajdu:
Deep learning-based anomaly detection for imaging in autonomous vehicles

Paper ID 50
Máté Pethő, Ádám Nagy, Tamás Zsedrovits:
A bio-motivated vision system and artificial neural network for autonomous UAV obstacle avoidance

Paper ID 53
Máté Cserép, Dávid Magyar, Zoltán Vincellér, Attila Molnár:
Waste Detection and Change Analysis based on Multispectral Satellite Imagery

Paper ID 54
Barna Keresztes, Ahmed Amri, Malo Tardif, Aymeric Deshayes, Jean-Pierre Da Costa, Marc Greven, Damian Martin:
In-field detection of a multi-symptom grape vine disease by proximal sensing and artificial intelligence