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. 2310.11178
  4. Cited By
FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus

FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus

17 October 2023
Xueyang Kang
Fengze Han
A. Fayjie
Dong Gong
    MDE
    ViT
ArXivPDFHTML

Papers citing "FocDepthFormer: Transformer with LSTM for Depth Estimation from Focus"

13 / 13 papers shown
Title
Block-Recurrent Transformers
Block-Recurrent Transformers
DeLesley S. Hutchins
Imanol Schlag
Yuhuai Wu
Ethan Dyer
Behnam Neyshabur
71
96
0
11 Mar 2022
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor
  Scenes
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
Jaehoon Cho
Dongbo Min
Youngjung Kim
Kwanghoon Sohn
3DV
92
43
0
22 Oct 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
45
765
0
28 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition
Single Image Depth Prediction with Wavelet Decomposition
Michael Ramamonjisoa
Michael Firman
Jamie Watson
Vincent Lepetit
Daniyar Turmukhambetov
MDE
67
55
0
03 Jun 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
125
1,717
0
24 Mar 2021
Focus on defocus: bridging the synthetic to real domain gap for depth
  estimation
Focus on defocus: bridging the synthetic to real domain gap for depth estimation
Maxim Maximov
Kevin Galim
Laura Leal-Taixé
MDE
84
63
0
19 May 2020
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language
  Understanding
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
Zhiheng Huang
Peng Xu
Davis Liang
Ajay K. Mishra
Bing Xiang
19
31
0
16 Mar 2020
Enforcing geometric constraints of virtual normal for depth prediction
Enforcing geometric constraints of virtual normal for depth prediction
Wei Yin
Yifan Liu
Chunhua Shen
Youliang Yan
3DV
MDE
112
426
0
29 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
197
1,786
0
02 Jul 2019
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
65
207
0
20 Aug 2018
On the Importance of Stereo for Accurate Depth Estimation: An Efficient
  Semi-Supervised Deep Neural Network Approach
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Nikolai Smolyanskiy
A. Kamenev
Stan Birchfield
MDE
97
95
0
26 Mar 2018
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps
  with Accurate Object Boundaries
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries
Junjie Hu
Mete Ozay
Yan Zhang
Takayuki Okatani
3DV
77
375
0
23 Mar 2018
Deep Depth From Focus
Deep Depth From Focus
C. Hazirbas
Sebastian Georg Soyer
Maximilian Christian Staab
Laura Leal-Taixé
Daniel Cremers
3DV
51
83
0
04 Apr 2017
1