Results 11 to 20 of about 22,886 (195)

On the Selection of Transmitted Views for Decoder-Side Depth Estimation

open access: yesApplied Sciences
The selection of optimal views for transmission is critical for the coding efficiency of the MPEG Immersive Video (MIV) profile of Decoder-Side Depth Estimation (DSDE).
Dominika Klóska   +3 more
doaj   +1 more source

Joint Reconstruction of Multi-view Compressed Images

open access: yes, 2012
The distributed representation of correlated multi-view images is an important problem that arise in vision sensor networks. This paper concentrates on the joint reconstruction problem where the distributively compressed correlated images are jointly ...
Frossard, Pascal   +1 more
core   +1 more source

Constructing 3D Object Detectors Based on Deformable Convolutional Guided Depths

open access: yesIEEE Access
This paper introduces a depth-guided 3D object detection method that enhances the feature extraction capability of the backbone network through weak supervision. It combines large kernel convolution, global response normalization, and layer normalization
Xinwang Zheng   +3 more
doaj   +1 more source

Exploiting temporal information for 3D pose estimation

open access: yes, 2018
In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict ...
Alejandro Newell   +14 more
core   +1 more source

Statistical Compressed Sensing of Gaussian Mixture Models [PDF]

open access: yes, 2011
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribution, and achieving accurate reconstruction on average, is introduced.
Sapiro, Guillermo, Yu, Guoshen
core   +2 more sources

Statistical Pruning for Near-Maximum Likelihood Decoding [PDF]

open access: yes, 2007
In many communications problems, maximum-likelihood (ML) decoding reduces to finding the closest (skewed) lattice point in N-dimensions to a given point xisin CN. In its full generality, this problem is known to be NP-complete.
Gowaikar, Radhika, Hassibi, Babak
core   +2 more sources

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

open access: yesAdvanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner   +9 more
wiley   +1 more source

Complexity Analysis Of Next-Generation VVC Encoding and Decoding

open access: yes, 2020
While the next generation video compression standard, Versatile Video Coding (VVC), provides a superior compression efficiency, its computational complexity dramatically increases.
Adelimanesh, Mohammad Ali   +3 more
core   +1 more source

Approximate MIMO Iterative Processing with Adjustable Complexity Requirements [PDF]

open access: yes, 2011
Targeting always the best achievable bit error rate (BER) performance in iterative receivers operating over multiple-input multiple-output (MIMO) channels may result in significant waste of resources, especially when the achievable BER is orders of ...
Gerd Ascheid   +2 more
core   +1 more source

Photoswitching Conduction in Framework Materials

open access: yesAdvanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy