Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ionut Schiopu"'
Autor:
Ionut Schiopu, Radu Ciprian Bilcu
Publikováno v:
Sensors, Vol 22, Iss 24, p 10014 (2022)
The event sensor provides high temporal resolution and generates large amounts of raw event data. Efficient low-complexity coding solutions are required for integration into low-power event-processing chips with limited memory. In this paper, a novel
Externí odkaz:
https://doaj.org/article/e9c67f38a33a454386066e4487858a92
Publikováno v:
Sensors, Vol 22, Iss 21, p 8439 (2022)
In recent years, Vehicle Make and Model Recognition (VMMR) has attracted a lot of attention as it plays a crucial role in Intelligent Transportation Systems (ITS). Accurate and efficient VMMR systems are required in real-world applications including
Externí odkaz:
https://doaj.org/article/6c2e9cc647604ce9b6664989eda0b9b9
Autor:
Ionut Schiopu, Adrian Munteanu
Publikováno v:
Sensors, Vol 22, Iss 4, p 1353 (2022)
The paper proposes a novel post-filtering method based on convolutional neural networks (CNNs) for quality enhancement of RGB/grayscale images and video sequences. The lossy images are encoded using common image codecs, such as JPEG and JPEG2000. The
Externí odkaz:
https://doaj.org/article/8253661ae9cd4dee9d6cb143d8f9f308
Autor:
Ionut Schiopu, Adrian Munteanu
Publikováno v:
Sensors, Vol 21, Iss 9, p 3246 (2021)
In this paper, we propose a novel filtering method based on deep attention networks for the quality enhancement of light field (LF) images captured by plenoptic cameras and compressed using the High Efficiency Video Coding (HEVC) standard. The propos
Externí odkaz:
https://doaj.org/article/d4aa81f7c58a4b858f473f8a4e2c2531
Publikováno v:
Sensors, Vol 21, Iss 1, p 275 (2021)
The paper proposes a novel instance segmentation method for traffic videos devised for deployment on real-time embedded devices. A novel neural network architecture is proposed using a multi-resolution feature extraction backbone and improved network
Externí odkaz:
https://doaj.org/article/8245fe1347074b77876b1b546959fab9
Publikováno v:
Sensors, Vol 20, Iss 21, p 6188 (2020)
The paper presents a novel depth-estimation method for light-field (LF) images based on innovative multi-stereo matching and machine-learning techniques. In the first stage, a novel block-based stereo matching algorithm is employed to compute the ini
Externí odkaz:
https://doaj.org/article/03e3e7148cc94e52a06198e64134a547
Autor:
Radu Ciprian Bilcu, Ionut Schiopu
Publikováno v:
IEEE Sensors Letters. 6:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05bb88b6c58f1dc7a0dfc18570ffb939
https://doi.org/10.1109/lsens.2022.3216894
https://doi.org/10.1109/lsens.2022.3216894
Autor:
Ionut Schiopu, Radu Ciprian Bilcu
Publikováno v:
Electronics; Volume 12; Issue 10; Pages: 2302
The new event cameras are now widely used in many computer vision applications. Their high raw data bitrate levels require a more efficient fixed-length representation for low-bandwidth transmission from the event sensor to the processing chip. A nov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0c75cec8de93f24c8243fc5dc5bc3eb
Autor:
Ionut Schiopu, Radu Ciprian Bilcu
Publikováno v:
IEEE Signal Processing Letters. 29:1779-1783
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e4161bc245cc4d4730caf2ac5ed092a
https://doi.org/10.1109/lsp.2022.3196599
https://doi.org/10.1109/lsp.2022.3196599
Autor:
Radu Ciprian Bilcu, Ionut Schiopu
Publikováno v:
Sensors; Volume 22; Issue 24; Pages: 10014
The event sensor provides high temporal resolution and generates large amounts of raw event data. Efficient low-complexity coding solutions are required for integration into low-power event-processing chips with limited memory. In this paper, a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9472bc89d98ebe9332c485d512e08c43