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Understanding Geometry of Encoder-Decoder CNNs

Understanding Geometry of Encoder-Decoder CNNs

22 January 2019
J. C. Ye
Woon Kyoung Sung
    3DV
    AI4CE
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Papers citing "Understanding Geometry of Encoder-Decoder CNNs"

13 / 13 papers shown
Title
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
Junqiao Wang
Zeng Zhang
Yangfan He
Yuyang Song
Tianyu Shi
...
Hengyuan Xu
Kunyu Wu
Guangwu Qian
Qiuwu Chen
Lewei He
46
11
0
03 Jan 2025
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural
  Networks
Persis: A Persian Font Recognition Pipeline Using Convolutional Neural Networks
M. Mohammadian
Neda Maleki
Tobias Olsson
F. Ahlgren
23
6
0
08 Oct 2023
OSNet & MNetO: Two Types of General Reconstruction Architectures for
  Linear Computed Tomography in Multi-Scenarios
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
Zhisheng Wang
Z. Deng
Fenglin Liu
Yixing Huang
Haijun Yu
Junning Cui
23
3
0
21 Sep 2023
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet
  Architecture
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
N. Zioulis
G. Albanis
Petros Drakoulis
Federico Álvarez
D. Zarpalas
P. Daras
29
11
0
11 Jul 2022
Learning Dynamic Graph Representation of Brain Connectome with
  Spatio-Temporal Attention
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim
Jong Chul Ye
Jae-Jin Kim
34
129
0
27 May 2021
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Tianlin Liu
Anadi Chaman
David Belius
Ivan Dokmanić
25
27
0
25 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
Geometric Approaches to Increase the Expressivity of Deep Neural
  Networks for MR Reconstruction
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction
Eunju Cha
Gyutaek Oh
J. C. Ye
27
11
0
17 Mar 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional
  Connectivity Analysis
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Byung-Hoon Kim
J. C. Ye
AI4CE
GNN
21
131
0
10 Jan 2020
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to
  Machine Learning
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
M. Jacob
M. Mani
J. C. Ye
16
52
0
27 Oct 2019
k-Space Deep Learning for Accelerated MRI
k-Space Deep Learning for Accelerated MRI
Yoseob Han
Leonard Sunwoo
J. C. Ye
38
188
0
10 May 2018
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
153
603
0
14 Feb 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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