ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.10910
  4. Cited By
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar
  Systems

A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems

26 January 2022
JaKeoung Koo
Abderrahim Halimi
S. Mclaughlin
    BDL
    3DV
ArXivPDFHTML

Papers citing "A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems"

19 / 19 papers shown
Title
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for
  sparse recover
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu
Chao Zhou
Yonina C. Eldar
M. Rodrigues
OOD
40
1
0
20 Oct 2021
SMD-Nets: Stereo Mixture Density Networks
SMD-Nets: Stereo Mixture Density Networks
Fabio Tosi
Yiyi Liao
Carolin Schmitt
Andreas Geiger
3DV
50
85
0
08 Apr 2021
Robust super-resolution depth imaging via a multi-feature fusion deep
  network
Robust super-resolution depth imaging via a multi-feature fusion deep network
Alice Ruget
S. Mclaughlin
R. K. Henderson
Istvan Gyongy
Abderrahim Halimi
Jonathan Leach
SupR
MDE
51
32
0
20 Nov 2020
Efficient Image Super-Resolution Using Pixel Attention
Efficient Image Super-Resolution Using Pixel Attention
Hengyuan Zhao
Xiangtao Kong
Jingwen He
Yu Qiao
Chao Dong
SupR
41
333
0
02 Oct 2020
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
Peng Sun
Luc Van Gool
Radu Timofte
SupR
145
544
0
23 Mar 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
86
1,012
0
22 Dec 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
191
16,337
0
17 Jul 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
243
8,867
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
364
26,241
0
05 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
526
129,831
0
12 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
578
5,748
0
05 Dec 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
238
5,323
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
145
2,523
0
02 Nov 2016
Object Depth Profile and Reflectivity Restoration from Sparse
  Single-Photon Data Acquired in Underwater Environments
Object Depth Profile and Reflectivity Restoration from Sparse Single-Photon Data Acquired in Underwater Environments
Abderrahim Halimi
Aurora Maccarone
A. Mccarthy
S. Mclaughlin
G. Buller
40
86
0
22 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
564
9,233
0
06 Jun 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
125
2,901
0
05 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
298
10,034
0
10 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.2K
149,474
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.2K
99,991
0
04 Sep 2014
1