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. 1903.07309
  4. Cited By
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised
  Monocular Depth Prediction

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction

18 March 2019
A. Wong
Byung-Woo Hong
Stefano Soatto
    MDE
ArXivPDFHTML

Papers citing "Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction"

17 / 17 papers shown
Title
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation
Ziyao Zeng
Jingcheng Ni
Daniel Wang
Patrick Rim
Younjoon Chung
Fengyu Yang
Byung-Woo Hong
A. Wong
DiffM
MDE
108
2
0
24 Nov 2024
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through
  Language Descriptions
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
Ziyao Zeng
Yangchao Wu
Hyoungseob Park
Daniel Wang
Fengyu Yang
Stefano Soatto
Dong Lao
Byung-Woo Hong
Alex Wong
MDE
25
7
0
03 Oct 2024
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware
  Consistency Fusion
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
Pengzhi Li
Yikang Ding
Haohan Wang
Chengshuai Tang
Zhiheng Li
MDE
46
1
0
30 Mar 2024
GlocalFuse-Depth: Fusing Transformers and CNNs for All-day
  Self-supervised Monocular Depth Estimation
GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation
Zezheng Zhang
Ryan K. Y. Chan
Kenneth K. Y. Wong
MDE
ViT
13
1
0
20 Feb 2023
Rethinking Skip Connections in Encoder-decoder Networks for Monocular
  Depth Estimation
Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation
Zhitong Lai
Haichao Sun
Rui Tian
Nannan Ding
Zhiguo Wu
Yanjie Wang
MDE
29
3
0
29 Aug 2022
Not Just Streaks: Towards Ground Truth for Single Image Deraining
Not Just Streaks: Towards Ground Truth for Single Image Deraining
Yunhao Ba
Howard Zhang
Ethan Yang
Akira Suzuki
Arnold Pfahnl
...
C. Melo
Suya You
Stefano Soatto
A. Wong
A. Kadambi
35
39
0
22 Jun 2022
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng
Liang Yang
Longlong Jing
Haiyan Wang
Yingli Tian
Bing Li
MDE
26
62
0
29 Mar 2022
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised
  Monocular Depth Estimation
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation
Zhengming Zhou
Qiulei Dong
MDE
11
16
0
21 Mar 2022
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of
  Depth and Pose from Monocular Video
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Guangming Wang
Jiquan Zhong
Shijie Zhao
Wenhua Wu
Zhe Liu
Hesheng Wang
MDE
32
21
0
06 Dec 2021
Unsupervised Depth Completion with Calibrated Backprojection Layers
Unsupervised Depth Completion with Calibrated Backprojection Layers
A. Wong
Stefano Soatto
3DV
MDE
3DPC
32
93
0
24 Aug 2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for
  Single Depth Super-Resolution
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Baoli Sun
Xinchen Ye
Baopu Li
Haojie Li
Zhihui Wang
Rui Xu
11
44
0
24 Mar 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
35
14
0
09 Nov 2020
Approaches, Challenges, and Applications for Deep Visual Odometry:
  Toward to Complicated and Emerging Areas
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Ke Min Wang
Sai Ma
Junlan Chen
Fan Ren
18
81
0
06 Sep 2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
Juan Luis Gonzalez
Munchurl Kim
26
84
0
09 Aug 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu
Kun Yu
Zhixiang Duan
Kuiyuan Yang
SSL
MDE
28
229
0
21 Jul 2020
MiniNet: An extremely lightweight convolutional neural network for
  real-time unsupervised monocular depth estimation
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu
Qing Li
Rui Cao
Wenming Tang
Guoping Qiu
MDE
25
35
0
27 Jun 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
1