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ORCIDIonut Schiopu
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2020 – today
- 2023
[c19]Ionut Schiopu, Radu Ciprian Bilcu:
Entropy Coding-based Lossless Compression of Asynchronous Event Sequences. CVPR Workshops 2023: 3923-3930- 2022
- [j13]Ionut Schiopu
, Adrian Munteanu:
Deep Learning Post-Filtering Using Multi-Head Attention and Multiresolution Feature Fusion for Image and Intra-Video Quality Enhancement. Sensors 22(4): 1353 (2022) - [j12]Yangxintong Lyu, Ionut Schiopu, Bruno Cornelis, Adrian Munteanu:
Framework for Vehicle Make and Model Recognition - A New Large-Scale Dataset and an Efficient Two-Branch-Two-Stage Deep Learning Architecture. Sensors 22(21): 8439 (2022) - [j11]Ionut Schiopu, Radu Ciprian Bilcu:
Low-Complexity Lossless Coding of Asynchronous Event Sequences for Low-Power Chip Integration. Sensors 22(24): 10014 (2022) - [j10]Ionut Schiopu, Radu Ciprian Bilcu:
Lossless Compression of Event Camera Frames. IEEE Signal Process. Lett. 29: 1779-1783 (2022) - 2021
- [j9]Ruben Panero Martinez, Ionut Schiopu, Bruno Cornelis, Adrian Munteanu:
Real-Time Instance Segmentation of Traffic Videos for Embedded Devices. Sensors 21(1): 275 (2021) - [j8]Ionut Schiopu, Adrian Munteanu:
Attention Networks for the Quality Enhancement of Light Field Images. Sensors 21(9): 3246 (2021) - [j7]Hongyue Huang, Ionut Schiopu, Adrian Munteanu:
Frame-Wise CNN-Based Filtering for Intra-Frame Quality Enhancement of HEVC Videos. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2100-2113 (2021) - 2020
- [j6]Ségolène Rogge, Ionut Schiopu, Adrian Munteanu:
Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks. Sensors 20(21): 6188 (2020) - [j5]Ionut Schiopu, Hongyue Huang, Adrian Munteanu:
CNN-Based Intra-Prediction for Lossless HEVC. IEEE Trans. Circuits Syst. Video Technol. 30(7): 1816-1828 (2020) - [j4]Ionut Schiopu, Adrian Munteanu:
Deep-Learning-Based Lossless Image Coding. IEEE Trans. Circuits Syst. Video Technol. 30(7): 1829-1842 (2020) - [c18]Ionut Schiopu, Hongyue Huang, Adrian Munteanu:
A Study of Deep-Learning-based Prediction Methods for Lossless Coding. EUSIPCO 2020: 521-525 - [c17]Ionut Schiopu, Adrian Munteanu:
A Study Of Prediction Methods Based On Machine Learning Techniques For Lossless Image Coding. ICIP 2020: 3324-3328 - [c16]Hongyue Huang, Ionut Schiopu, Adrian Munteanu:
Low-Complexity Angular Intra-Prediction Convolutional Neural Network for Lossless HEVC. MMSP 2020: 1-6
2010 – 2019
- 2019
- [j3]Rui Zhong, Ionut Schiopu, Bruno Cornelis, Shao-Ping Lu, Junsong Yuan, Adrian Munteanu:
Dictionary Learning-Based, Directional, and Optimized Prediction for Lenslet Image Coding. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1116-1129 (2019) - [c15]Hongyue Huang, Ionut Schiopu, Adrian Munteanu:
Deep Learning Based Angular Intra-Prediction for Lossless HEVC Video Coding. DCC 2019: 579 - [c14]Ionut Schiopu, Patrice Rondao-Alface, Adrian Munteanu:
Frame-Wise CNN-Based View Synthesis for Light Field Camera Arrays. IC3D 2019: 1-7 - 2018
- [c13]Wenqi Chang, Ionut Schiopu, Adrian Munteanu:
L-Infinite Predictive Coding of Depth. ACIVS 2018: 475-486 - [c12]Ionut Schiopu, Adrian Munteanu:
Macro-Pixel Prediction Based on Convolutional Neural Networks for Lossless Compression of Light Field Images. ICIP 2018: 445-449 - [c11]Ionut Schiopu, Yu Liu, Adrian Munteanu:
CNN-based Prediction for Lossless Coding of Photographic Images. PCS 2018: 16-20 - 2017
- [c10]Ionut Schiopu, Moncef Gabbouj, Atanas P. Gotchev, Miska M. Hannuksela:
Lossless compression of subaperture images using context modeling. 3DTV-Conference 2017: 1-4 - [c9]Ionut Schiopu, Moncef Gabbouj, Alexandros Iosifidis, Bing Zeng, Shuaicheng Liu:
Subaperture image segmentation for lossless compression. IPTA 2017: 1-6 - 2016
- [b1]Ionut Schiopu:
Depth-Map Image Compression Based on Region and Contour Modeling. University of Tampere, Finland, 2016 - [c8]Ionut Schiopu, Jukka P. Saarinen, Lauri Kettunen, Ioan Tabus:
Pothole detection and tracking in car video sequence. TSP 2016: 701-706 - 2015
- [c7]Ionut Schiopu, Ioan Tabus:
Parametrizations of planar models for region-merging based lossy depth-map compression. 3DTV-Conference 2015: 1-4 - [c6]Ionut Schiopu, Jukka P. Saarinen, Ioan Tabus:
Lossy-to-lossless progressive coding of depth-map images using competing constant and planar models. IC3D 2015: 1-7 - 2014
- [c5]Ionut Schiopu, Ioan Tabus:
Anchor points coding for depth map compression. ICIP 2014: 5626-5630 - 2013
- [j2]Ionut Schiopu, Ioan Tabus:
Lossy Depth Image Compression using Greedy Rate-Distortion Slope Optimization. IEEE Signal Process. Lett. 20(11): 1066-1069 (2013) - [j1]Ioan Tabus, Ionut Schiopu, Jaakko Astola:
Context Coding of Depth Map Images Under the Piecewise-Constant Image Model Representation. IEEE Trans. Image Process. 22(11): 4195-4210 (2013) - [c4]Ioan Tabus, Jenni Hukkanen, Ionut Schiopu:
Two-Phase Compression of Histological Images with MDL Ranking of Segmentation Images. CSCS 2013: 331-338 - [c3]Ioan Tabus, Ionut Schiopu:
Quaternary Crack-Edge Representation for Lossless Contour Compression. CSCS 2013: 339-344 - 2012
- [c2]Ionut Schiopu, Ioan Tabus:
Lossy and near-lossless compression of depth images using segmentation into constrained regions. EUSIPCO 2012: 1099-1103 - [c1]Ionut Schiopu, Ioan Tabus:
Depth image lossless compression using mixtures of local predictors inside variability constrained regions. ISCCSP 2012: 1-4
Coauthor Index
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