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Nikola Katic

dblp:130/4125 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0002-6801-2302ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › computational optics
coded aperture imaging
0.312018
Coded Two-Bucket Cameras for Computer Vision · ECCV (3) 2018

Methods — techniques the papers use, named apart from their topics

coded two-bucket camera · 0.3
YearPublicationVenuePosition
2018 Coded Two-Bucket Cameras for Computer Vision
Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov, Kiriakos N. Kutulakos
ECCV (3)5
2013 High frame-rate low-power compressive sampling CMOS image sensor architecture: [extended abstract]
abstract
A novel compressive sampling scheme suitable for highly scalable hardware implementation is presented. The prototype design is implemented in a 0.18μm standard CMOS technology and utilizes compressed acquisition to achieve high frame rates and maintain low power consumption. Specialized pixels, convenient for Comparator-Based Switched Capacitor readout are developed for this purpose. A custom measurement matrix generation algorithm is implemented which reduces in-pixel hardware complexity and performs measurement matrix generation in a single clock cycle. Per-column Differential Cyclic-ADCs based on the Zero-Crossing Detection (ZCD) technique are used to convert the analog image measurements. Physical IC design issues such as the required dynamic range, device noise, mismatch and non-linearity, are analyzed and their effects on compressed image acquisition are presented and discussed. The final simulation results show that the proposed 256x256 pixels architecture consumes 1.45mW at 250fps and 26.2mW at 8000fps. The proposed architecture can easily be scaled towards newer technology nodes and higher image resolutions.
Nikola Katic, Mahdad Hosseini Kamal, Mustafa Kilic, Alexandre Schmid, Pierre Vandergheynst, Yusuf Leblebici
ACM Great Lakes Symposium on VLSI1