Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras

Gordon, Ariel, Li, Hanhan, Jonschkowski, Rico, Angelova, Anelia·2019·2019 IEEE/CVF International Conference on Computer Vision (ICCV)

DOI 10.1109/iccv.2019.00907

Cited by (385)

Items 101–200 of 385

IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
Cheng Feng, Zhen Chen, Congxuan Zhang, Weiming Hu, Bing Li, Feng Lu · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised Monocular Estimation of Depth and Visual Odometry Using Attention and Depth-Pose Consistency Loss
Xiaogang Song, Haoyue Hu, Li Liang, Weiwei Shi, Guo Xie, Xiaofeng Lu, Xinhong Hei · 2023 · IEEE Transactions on Multimedia
Self-supervised Visual-LiDAR Odometry with Flip Consistency
Bin Li, Mu Hai Hu, Shuling Wang, Lianghao Wang, Xiaojin Gong · 2021 · IEEE Winter Conference on Applications of Computer Vision
A Survey on Self-Supervised Monocular Depth Estimation Based on Deep Neural Networks
Qiulei Dong, Zhengming Zhou, Xiaolan Qiu, Liting Zhang · 2025 · IEEE Transactions on Neural Networks and Learning Systems
Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting
Juan Luis Gonzalez Bello, Munchurl Kim · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang, Jianrui Wang, Gary G. Yen, Chaoqiang Zhao, Qiyu Sun, Yang Shan Tang, Feng Qian, Jürgen Kurths · 2020 · Patterns
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
Hemang Chawla, Arnav Varma, Elahe Arani, Bahram Zonooz · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
Unsupervised Monocular Depth Estimation for Colonoscope System Using Feedback Network
Seung-Jun Hwang, Sung-Jun Park, Gyu-Min Kim, Joong-Hwan Baek · 2021 · Sensors
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Self-supervised multi-frame depth estimation with visual-inertial pose transformer and monocular guidance
Xiang Wang, Haonan Luo, Zihang Wang, Jin Yan Zheng, Xiao Ping Bai · 2024 · Information Fusion
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi · 2024 · Lecture notes in computer science
$$S^3$$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia · 2020 · Lecture notes in computer science
Deep Online Correction for Monocular Visual Odometry
Jiaxin Zhang, Wei Sui, Xinggang Wang, Wenming Meng, Hongmei Zhu, Qian Zhang · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
Deep learning-based 3D reconstruction from multiple images: A survey
Chuhua Wang, Md Alimoor Reza, Vibhas Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David Crandall, Soon‐heung Jung, Jeongil Seo · 2024 · Neurocomputing
Taskology: Utilizing Task Relations at Scale
Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Chen Zhao, Vincent Casser, Anelia Angelova, Ariel M. Gordon · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Self-supervised monocular depth estimation in dynamic scenes with moving instance loss
Min Yue, Guangyuan Fu, Ming Wu, Xin Zhang, Hongyang Gu · 2022 · Engineering Applications of Artificial Intelligence
SimVODIS++: Neural Semantic Visual Odometry in Dynamic Environments
Ue-Hwan Kim, Se-Ho Kim, Jong-Hwan Kim · 2022 · IEEE Robotics and Automation Letters
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos
Mengyi Liu, Shuhui Wang, Yulan Guo, Yuan He, Hui Xue · 2021 · IEEE Signal Processing Letters
SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation
Haoyu Ren, Aman Raj, Mostafa El‐Khamy, Jungwon Lee · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity
Jierui Liu, Zhiqiang Cao, Xilong Liu, Shuo Wang, Junzhi Yu · 2022 · IEEE Transactions on Intelligent Vehicles
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fa-Ting Hong, Li Shen, Dan Xu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
XVO: Generalized Visual Odometry via Cross-Modal Self-Training
Lei Lai, Zhongkai Shangguan, Jimuyang Zhang, Eshed Ohn-Bar · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation
Jinfeng Liu, Lingtong Kong, Bo Li, Zerong Wang, Hong Gu, Jinwei Chen · 2024 · Lecture notes in computer science
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Igor Vasiljevic, Vitor Guizilini, Rareş Ambruş, Sudeep Pillai, Wolfram Burgard, Gregory Shakhnarovich, Adrien Gaidon · 2020 · International Conference on 3D Vision (3DV)
Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging
Ilya Chugunov, Seung‐Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
Cong Wang, Yu-Ping Wang, Dinesh Manocha · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
Yunxiao Shi, Hong Cai, Amin Ansari, Fatih Porikli · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Provident vehicle detection at night for advanced driver assistance systems
Lukas Ewecker, Ebubekir Asan, Lars Ohnemus, Sascha Saralajew · 2022 · Autonomous Robots
Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
Kaichen Zhou, Jia-Wang Bian, Jian-Qing Zheng, Jia-Xing Zhong, Charles Xie, Niki Trigoni, Andrew Markham · 2025 · IEEE Robotics and Automation Letters
The Farther the Better: Balanced Stereo Matching via Depth-Based Sampling and Adaptive Feature Refinement
Hong Ri Zhang, Xinchen Ye, Shenglun Chen, Zhihui Wang, Haojie Li, Wanli Ouyang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
VALD-GAN: video anomaly detection using latent discriminator augmented GAN
Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, Sanjay Kr. Singh · 2023 · Signal Image and Video Processing
The Third Monocular Depth Estimation Challenge
Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, Guangyuan Zhou, ZhengXin Li, Qiang Rao et al. · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Deep learning of monocular depth, optical flow and ego-motion with geometric guidance for UAV navigation in dynamic environments
Fuseini Mumuni, Alhassan Mumuni, Christian Kwaku Amuzuvi · 2022 · Machine Learning with Applications
Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes
Guanghui Wu, Hao Liu, Longguang Wang, Kunhong Li, Yulan Guo, Zengping Chen · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
Javier Rodríguez-Puigvert, Víctor M. Batlle, J. M. M. Montiel, Rubén Martínez-Cantín, Pascal Fua, Juan D. Tardós, Javier Civera · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
SPIdepth: Strengthened Pose Information for Self-Supervised Monocular Depth Estimation
Микола Сергійович Лавренюк, Алла Миколаївна Лавренюк · 2025 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Robust self-supervised monocular visual odometry based on prediction-update pose estimation network
Haixin Xiu, Yiyou Liang, Hui Zeng, Qing Li, Hongmin Liu, Bin Fan, Chen Li · 2022 · Engineering Applications of Artificial Intelligence
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning
Zhongkai Zhou, Xinnan Fan, Pengfei Shi, Yuanxue Xin, Dongliang Duan, Liuqing Yang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
Attention based multilayer feature fusion convolutional neural network for unsupervised monocular depth estimation
Zeyu Lei, Yan Wang, Zijian Li, Junyao Yang · 2020 · Neurocomputing
Online Training of Stereo Self-Calibration Using Monocular Depth Estimation
Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes · 2021 · IEEE Transactions on Computational Imaging
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
Atsuhiro Noguchi, Tatsuya Harada · 2019 · arXiv (Cornell University)
SelfD: Self-Learning Large-Scale Driving Policies From the Web
Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Integrating Both Parallax and Latency Compensation into Video See-through Head-mounted Display
Atsushi Ishihara, Hiroyuki Aga, Yasuko Ishihara, Hirotake Ichikawa, Hidetaka Kaji, Koichi Kawasaki, Daita Kobayashi, Toshimi Kobayashi, Ken Nishida, Takumi Hamasaki et al. · 2023 · IEEE Transactions on Visualization and Computer Graphics
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation
Marvin Klingner, Tim Fingscheidt · 2021 · IEEE Transactions on Intelligent Transportation Systems
About Time: Advances, Challenges, and Outlooks of Action Understanding
Alexandros Stergiou, Ronald W. Poppe · 2025 · International Journal of Computer Vision
Application of artificial intelligence in the new generation of underwater humanoid welding robots: a review
Chi Peng, Zhenmin Wang, Haipeng Liao, Ting Li, Xiangmiao Wu, Qin Zhang · 2024 · Artificial Intelligence Review
Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes
Dan Xu, Andrea Vedaldi, João F. Henriques · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pseudo-LiDAR for Visual Odometry
Yanzi Miao, Huiying Deng, Chaokang Jiang, Zhiheng Feng, Xinrui Wu, Guangming Wang, Hesheng Wang · 2023 · IEEE Transactions on Instrumentation and Measurement
Caveats on the First-Generation da Vinci Research Kit: Latent Technical Constraints and Essential Calibrations [Survey]
Zejian Cui, João Cartucho, Stamatia Giannarou, Ferdinando Rodriguez y Baena · 2023 · IEEE Robotics & Automation Magazine
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
Kwon, Hyeokhyen, Tong, Catherine, Haresamudram, Harish, Gao, Yan, Abowd, Gregory D., Lane, Nicholas D., Ploetz, Thomas · 2020 · arXiv
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
Tang, Jiexiong, Ambrus, Rares, Guizilini, Vitor, Pillai, Sudeep, Kim, Hanme, Jensfelt, Patric, Gaidon, Adrien · 2019 · arXiv
LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
Shengjie Zhu, Xiaoming Liu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Cross-Modal Knowledge Distillation for Depth Privileged Monocular Visual Odometry
Bin Li, Shuling Wang, Hefu Ye, Xiaojin Gong, Zhiyu Xiang · 2022 · IEEE Robotics and Automation Letters
Self-Supervised Learning of Depth and Ego-Motion for 3D Perception in Human Computer Interaction
Shanbao Qiao, Naixue N. Xiong, Yongbin Gao, Zhijun Fang, Wenjun Yu, Juan Zhang, Xiaoyan Jiang · 2023 · ACM Transactions on Multimedia Computing Communications and Applications
Unsupervised Monocular Depth Perception: Focusing on Moving Objects
Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang · 2021 · IEEE Sensors Journal
Two-Stream Based Multi-Stage Hybrid Decoder for Self-Supervised Multi-Frame Monocular Depth
Yangqi Long, Huimin Yu, Biyang Liu · 2022 · IEEE Robotics and Automation Letters
SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks
Sergio Izquierdo, Javier Civera · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Self-attentive 3D human pose and shape estimation from videos
Yunchun Chen, Marco Piccirilli, Robinson Piramuthu, Ming–Hsuan Yang · 2021 · Computer Vision and Image Understanding
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
Mertalp Ocal, Armin Mustafa · 2020 · arXiv (Cornell University)
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao, Jincheng Yu, Shen, Hao, Yu Wang, Huazhong Yang · 2020 · arXiv (Cornell University)
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
Lyujie Chen, Xiaming Yuan, Yao Xiao, Zhang, Yiding, Jihong Zhu · 2020 · arXiv (Cornell University)
Resolution-sensitive self-supervised monocular absolute depth estimation
Yuquan Zhou, Chentao Zhang, Lianjun Deng, Jianji Fu, Hongyi Li, Zhouyi Xu, Jianhua Zhang · 2024 · Applied Intelligence
Dual-NMS: A Method for Autonomously Removing False Detection Boxes from Aerial Image Object Detection Results
Zhiyuan Lin, Qingxiao Wu, Shuangfei Fu, Sikui Wang, Zhongyu Zhang, Yanzi Kong · 2019 · Sensors
Depth Field Networks For Generalizable Multi-view Scene Representation
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Gregory Shakhnarovich, Matthew R. Walter, Adrien Gaidon · 2022 · Lecture notes in computer science
RDNeRF: relative depth guided NeRF for dense free view synthesis
Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming‐Ming Cheng, Bo Ren · 2023 · The Visual Computer
The Second Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James Elder, Richard Bowden et al. · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Deep Single Fisheye Image Camera Calibration for Over 180-degree Projection of Field of View
Nobuhiko Wakai, Takayoshi Yamashita · 2021 · IEEE International Conference on Computer Vision Workshops
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu · 2020 · arXiv (Cornell University)
Self-Supervised Monocular Depth and Motion Learning in Dynamic Scenes: Semantic Prior to Rescue
Seokju Lee, François Rameau, Sunghoon Im, In So Kweon · 2022 · International Journal of Computer Vision
GeoRefine: Self-supervised Online Depth Refinement for Accurate Dense Mapping
Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu · 2022 · Lecture notes in computer science
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos
David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Meta-Learning for Adaptation of Deep Optical Flow Networks
Chaerin Min, Tae Hyun Kim, Jongwoo Lim · 2023 · IEEE Winter Conference on Applications of Computer Vision
MACARONS: Mapping and Coverage Anticipation with RGB Online Self-Supervision
Antoine Guédon, Tom Monnier, Pascal Monasse, Vincent Lepetit · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
Lior Talker, Aviad Cohen, Erez Yosef, Alexandra Dana, Michael Dinerstein · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Evaluating the Impact of Wide-Angle Lens Distortion on Learning-based Depth Estimation
Julie Buquet, Jinsong Zhang, Patrice Roulet, Simon Thibault, Jean‐François Lalonde · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Analysis of echolocation behavior of bats in “echo space” using acoustic simulation
Yu Teshima, Yasufumi Yamada, Takao Tsuchiya, Olga Heim, Shizuko Hiryu · 2022 · BMC Biology
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
Hoang Chuong Nguyen, Tianyu Wang, José Manuel Álvarez, Miaomiao Liu · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
ProDepth: Boosting Self-supervised Multi-frame Monocular Depth with Probabilistic Fusion
Sungmin Woo, Won Joon Lee, Woo Jin Kim, Dogyoon Lee, Sangyoun Lee · 2024 · Lecture notes in computer science
Revisiting Self-supervised Monocular Depth Estimation
Ue-Hwan Kim, Gyeong-Min Lee, Jong-Hwan Kim · 2022 · Lecture notes in networks and systems
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion
Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita · 2022 · Lecture notes in computer science
Self-supervised monocular Depth estimation with multi-scale structure similarity loss
Chenggong Han, Deqiang Cheng, Qiqi Kou, Xiaoyi Wang, Liangliang Chen, Jiamin Zhao · 2022 · Multimedia Tools and Applications
High-Precision Self-supervised Monocular Depth Estimation with Rich-Resource Prior
Wencheng Han, Jianbing Shen · 2024 · Lecture notes in computer science
Car crash detection in videos
Veronica Radu, Mihai Nan, Mihai Trăşcău, David-Traian Iancu, Alexandra Ștefania Ghiță, Adina Magda Florea · 2021 · International Conference on Control Systems and Computer Science
Joint Soft–Hard Attention for Self-Supervised Monocular Depth Estimation
Chao Fan, Zhenyu Yin, Fulong Xu, Anying Chai, Feiqing Zhang · 2021 · Sensors
Mesoscopic photogrammetry with an unstabilized phone camera
Kevin C. Zhou, Colin Cooke, Jaehee Park, Ruobing Qian, Roarke W. Horstmeyer, Joseph A. Izatt, Sina Farsiu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
Single View Physical Distance Estimation using Human Pose
Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
2023
On Robust Cross-view Consistency in Self-supervised Monocular Depth Estimation
Haimei Zhao, Jing Zhang, Zhuo Chen, Bo Yuan, Dacheng Tao · 2024 · Machine Intelligence Research
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters
Sai Shyam Chanduri, Igor Vozniak, Zeeshan Khan Suri · 2021 · British Machine Vision Conference (BMVC)
Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning
Horatiu Florea, Sergiu Nedevschi · 2022 · IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)
Image Masking for Robust Self-Supervised Monocular Depth Estimation
Hemang Chawla, Kishaan Jeeveswaran, Elahe Arani, Bahram Zonooz · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang‐Lue Zhang, Song–Hai Zhang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments
Yasin Almalıoğlu, Àngel Santamaria‐Navarro, Benjamin J. Morrell, Ali–akbar Agha–mohammadi · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
StyHighNet: Semi-Supervised Learning Height Estimation from a Single Aerial Image via Unified Style Transferring
Qian Gao, Xukun Shen · 2021 · Sensors
CbwLoss: Constrained Bidirectional Weighted Loss for Self-Supervised Learning of Depth and Pose
Fei Wang, Jun Sheng Cheng, Penglei Liu · 2023 · IEEE Transactions on Intelligent Transportation Systems
Neural vision-based semantic 3D world modeling
Sotirios Papadopoulos, Ioannis Mademlis, Ioannis Pitas · 2021 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Bird’s Eye View Perception for Autonomous Driving
Jiayuan Du, Shuai Su, Rui Fan, Qijun Chen · 2023 · Advances in computer vision and pattern recognition
Robust Self-Supervised Extrinsic Self-Calibration
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rareş Ambruş · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Self-supervised Hypergraphs for Learning Multiple World Interpretations
Alina Marcu, Mihai Pîrvu, Dragoş Costea, Emanuela Haller, Emil Sluşanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu · 2023 · IEEE International Conference on Computer Vision Workshops