Zobrazeno 1 - 10
of 290
pro vyhledávání: '"Trac D. Tran"'
Publikováno v:
Computers, Vol 8, Iss 2, p 32 (2019)
Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compress
Externí odkaz:
https://doaj.org/article/dc6a4382bf2d4869a19de83ff1af512f
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:3136-3149
Radio frequency interference (RFI) is a critical problem for ultra-wideband synthetic aperture radars (UWB SAR) because the VHF/UHF band used by them is shared by other systems as well. A number of solutions have been proposed over the years. Recentl
Designing efficient sparse recovery algorithms that could handle noisy quantized measurements is important in a variety of applications -- from radar to source localization, spectrum sensing and wireless networking. We take advantage of the approxima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4820e893919491854595153d2d78f9c3
http://arxiv.org/abs/2205.10448
http://arxiv.org/abs/2205.10448
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Single plane wave transmissions are promising for automated imaging tasks requiring high ultrasound frame rates over an extended field of view. However, a single plane wave insonification typically produces suboptimal image quality. To address this l
Publikováno v:
Signal & Image Processing : An International Journal. 10:9-29
This paper proposes a method based on Multitexton Histogram (MTH) descriptor to identify patterns inimages of human parasite eggs of the following species: Ascaris, Uncinarias, Trichuris, Hymenolepis Nana, Dyphillobothrium-Pacificum, Taenia-Solium, F
Publikováno v:
Signal, Image and Video Processing. 14:583-591
In this paper, we present a short review of some well-known image codecs in the literature and summarize a systematic study that determines the root cause of some puzzling observations in image compression experiments. Moreover, we propose a methodol
Publikováno v:
Journal of the Optical Society of America B. 40:28
Traditional optical imaging and sensing methods capture signals of interest by direct sampling in the domain of interest such as by forming images on pixelated camera sensors or by regular temporal sampling of a waveform. These methods are indispensa
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Optical flow estimation with occlusion or large displacement is a problematic challenge due to the lost of corresponding pixels between consecutive frames. In this paper, we discover that the lost information is related to a large quantity of motion
Autor:
Dzung T. Phan, Akshay Rangamani, Trac D. Tran, Nam H. Nguyen, Sang Peter Chin, Abhishek Kumar
Publikováno v:
ICASSP
It has been empirically observed that the flatness of minima obtained from training deep networks seems to correlate with better generalization. However, for deep networks with positively homogeneous activations, most measures of flatness are not inv
Publikováno v:
CVPR
This paper addresses the challenging unsupervised scene flow estimation problem by jointly learning four low-level vision sub-tasks: optical flow $\textbf{F}$, stereo-depth $\textbf{D}$, camera pose $\textbf{P}$ and motion segmentation $\textbf{S}$.