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László Czúni
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2020 – today
- 2024
- [c41]Richárd Rádli
, Zsolt Vörösházi, László Czúni:
Word and Image Embeddings in Pill Recognition. VISIGRAPP (3): VISAPP 2024: 729-736 - 2023
- [c40]Gábor Hartyányi, László Czúni:
Recognition of Weeds in Cornfields. FedCSIS 2023: 995-999 - [c39]Richárd Rádli
, Zsolt Vörösházi, László Czúni:
Pill Metrics Learning with Multihead Attention. KDIR 2023: 132-140 - [c38]Richárd Rádli
, Zsolt Vörösházi, László Czúni:
Multi-Stream Pill Recognition with Attention. IDAACS 2023: 942-946 - [c37]Richárd Rádli
, László Czúni:
Deep Randomized Networks for Fast Learning. LION 2023: 121-134 - 2022
- [c36]Alejandro R. Rodriguez, Barnabás Holicza, Amr M. Nagy, Zsolt Vörösházi, György Bereczky, László Czúni:
Segmentation and Error Detection of PV Modules. ETFA 2022: 1-4 - [c35]Richárd Rádli
, László Czúni:
Improving the Efficiency of Autoencoders for Visual Defect Detection with Orientation Normalization. VISIGRAPP (4: VISAPP) 2022: 651-658 - 2021
- [j10]Karim Ben Alaya
, László Czúni
:
Stochastic Modeling of Trees in Forest Environments. IEEE Access 9: 69143-69156 (2021) - [j9]Amr M. Nagy
, Metwally Rashad, László Czúni:
Active multiview recognition with hidden Markov temporal support. Signal Image Video Process. 15(2): 315-322 (2021) - [c34]Karim Ben Alaya, László Czúni:
CNN-based Tree Model Extraction. IDAACS 2021: 616-620 - [c33]Amr M. Nagy, László Czúni:
Deep Neural Network Models for the Recognition of Traffic Signs Defects. IDAACS 2021: 725-729 - [c32]Norbert Kiss, László Czúni:
Mushroom Image Classification with CNNs: A Case-Study of Different Learning Strategies. ISPA 2021: 165-170 - [c31]Amr M. Nagy, László Czúni:
Detecting Object Defects with Fusioning Convolutional Siamese Neural Networks. VISIGRAPP (5: VISAPP) 2021: 157-163 - 2020
- [c30]László Czúni, Amr M. Nagy:
Hidden Markov Models for Pose Estimation. VISIGRAPP (5: VISAPP) 2020: 598-603
2010 – 2019
- 2019
- [c29]László Czúni, Amr M. Nagy:
Improving object recognition of CNNs with multiple queries and HMMs. ICMV 2019: 1143310 - [c28]László Czúni, Karim Ben Alaya
:
Low- and High-level Methods for Tree Segmentation. IDAACS 2019: 189-192 - 2018
- [j8]László Czúni
, Metwally Rashad
:
Lightweight Active Object Retrieval with Weak Classifiers. Sensors 18(3): 801 (2018) - [c27]László Czúni, Andras Kurtosi, Karim Ben Alaya
:
Color Based Clustering for Trunk Segmentation. IWSSIP 2018: 1-4 - 2017
- [j7]László Czúni, Metwally Rashad:
The use of IMUs for video object retrieval in lightweight devices. J. Vis. Commun. Image Represent. 48: 30-42 (2017) - [c26]László Czúni, Metwally Rashad:
The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval. ICIAP Workshops 2017: 26-36 - 2016
- [c25]László Czúni, Metwally Rashad:
View centered video-based object recognition for lightweight devices. IWSSIP 2016: 1-4 - 2015
- [c24]László Czúni, Metwally Rashad:
Interactive object recognition with sensor fusion. CogInfoCom 2015: 479-482 - [c23]László Czúni, Metwally Rashad:
Lightweight video object recognition based on sensor fusion. IWCIM 2015: 1-5 - 2014
- [c22]László Czúni, Péter József Kiss, Ágnes Lipovits
, Mónika Gál:
Lightweight mobile object recognition. ICIP 2014: 3426-3428 - 2013
- [c21]László Czúni, Péter József Kiss, Mónika Gál, Ágnes Lipovits
:
Local feature based word spotting in handwritten archive documents. CBMI 2013: 179-184 - 2012
- [c20]László Czúni, Péter József Kiss:
About the fixation points in stereo images. CogInfoCom 2012: 143-147 - [c19]László Czúni, Mónika Gál:
Directional Votes of Optical Flow Projections for Independent Motion Detection. ICCVG 2012: 329-336 - [c18]László Czúni, Tamás Szöke, Mónika Gál:
Recognition of Hand-Written Archive Text Documents. ICCVG 2012: 337-344 - [c17]László Czúni, Mónika Gál:
Independent Motion Detection in the Light of the Aperture Problem. ICIAR (1) 2012: 200-207 - [c16]László Czúni, Ágnes Lipovits, Dávid Papp:
Simultaneous Reconstruction and Recognition of Noisy Character-like Symbols. VISAPP (1) 2012: 197-200 - 2010
- [j6]Attila Licsár, Tamás Szirányi
, László Czúni:
Trainable blotch detection on high resolution archive films minimizing the human interaction. Mach. Vis. Appl. 21(5): 767-777 (2010)
2000 – 2009
- 2009
- [c15]Ákos Utasi, László Czúni:
Analysis of Time-multiplexed Security Videos. AVSS 2009: 547-552 - 2008
- [c14]Zoltán Szlávik, Levente Kovács, Laszlo Havasi, Csaba Benedek, István Petrás, Ákos Utasi, Attila Licsár, László Czúni, Tamás Szirányi
:
Behavior and event detection for annotation and surveillance. CBMI 2008: 117-124 - [c13]Ákos Utasi, László Czúni:
HMM-based unusual motion detection without tracking. ICPR 2008: 1-4 - [c12]Levente Kovács, Zoltán Szlávik, Csaba Benedek, Laszlo Havasi, István Petrás, Dávid Losteiner, Ákos Utasi, Attila Licsár, László Czúni, Tamás Szirányi:
Video Surveillance Framework for Crime Prevention and Event Indexing. ICT4Justice 2008 - [c11]Ákos Utasi, László Czúni:
Anomaly Detection with Low-Level Processes in Videos. VISAPP (2) 2008: 678-681 - 2006
- [j5]Gábor Kutas, Heui-Keun Choh, Youngshin Kwak, Péter Bodrogi, László Czúni:
Subpixel arrangements and color image rendering methods for multiprimary displays. J. Electronic Imaging 15(2): 023002 (2006) - [c10]László Czúni, Gergely Császár, Attila Licsár:
Estimating the Optimal Quantization Parameter in H.264. ICPR (4) 2006: 330-333 - 2005
- [c9]László Czúni, Gergely Császár, Dae-Sung Cho, Hyun Mun Kim:
New Algorithms for Example-Based Super-Resolution. CAIP 2005: 781-788 - [c8]Attila Licsár, László Czúni, Tamás Szirányi
:
Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films. ICIP (2) 2005: 562-565 - 2004
- [c7]László Czúni, Dezso Csordás, Gergely Császár:
Distance Map Retrieval. ICIAR (1) 2004: 811-817 - 2003
- [c6]Attila Licsár, László Czúni, Tamás Szirányi
:
Adaptive Stabilization of Vibration in Archive Films. CAIP 2003: 230-237 - [c5]László Czúni, Dezso Csordás:
Depth-Based Indexing and Retrieval of Photographic Images. VLBV 2003: 76-83 - 2002
- [c4]Zoltan Kato, Xiaowen Ji, Tamás Szirányi, Zoltán Tóth, László Czúni:
Content-based image retrieval using stochastic paintbrush transformation. ICIP (1) 2002: 944-947 - 2001
- [j4]László Czúni, Tamás Szirányi
:
Motion Segmentation and Tracking with Edge Relaxation and Optimization using Fully Parallel Methods in the Cellular Nonlinear Network Architecture. Real Time Imaging 7(1): 77-95 (2001) - 2000
- [j3]Tamás Szirányi
, Josiane Zerubia
, László Czúni, David Geldreich, Zoltan Kato:
Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures. Real Time Imaging 6(3): 195-211 (2000) - [c3]Tamás Szirányi, László Czúni:
Spatio-Temporal Segmentation with Edge Relaxation and Optimization Using Fully Parallel Methods. ICPR 2000: 4820-4823
1990 – 1999
- 1999
- [j2]Tamás Szirányi, László Czúni:
Image compression by orthogonal decomposition using cellular neural network chips. Int. J. Circuit Theory Appl. 27(1): 117-134 (1999) - [j1]Tamás Szirányi
, Károly László, László Czúni, Francesco Ziliani:
Object Oriented Motion-Segmentation for Video-Compression in the CNN-UM. J. VLSI Signal Process. 23(2-3): 479-496 (1999) - 1997
- [c2]László Czúni, Tamás Szirányi
, Josiane Zerubia:
Multigrid MRF Based Picture Segmentation with Cellular Neural Networks. CAIP 1997: 345-352 - 1996
- [c1]Tamás Szirányi
, László Czúni:
Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks. ICPR 1996: 366-370
Coauthor Index
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last updated on 2024-05-08 21:03 CEST by the dblp team
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