Chaoqiang Zhao

Orcid: 0000-0002-3651-2177

According to our database1, Chaoqiang Zhao authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Learn to Adapt for Self-Supervised Monocular Depth Estimation.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview.
IEEE CAA J. Autom. Sinica, May, 2024

Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Self-supervised depth super-resolution with contrastive multiview pre-training.
Neural Networks, November, 2023

Causal reasoning in typical computer vision tasks.
CoRR, 2023

The Monocular Depth Estimation Challenge.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Multi-Dimensional Deformable Object Manipulation Using Equivariant Models.
IROS, 2023

Rethinking Unsupervised Domain Adaptation for Nighttime Tracking.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


2022
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Direct Visual Odometry.
IEEE Trans. Intell. Transp. Syst., 2022

Unsupervised Monocular Depth Estimation in Highly Complex Environments.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning.
CoRR, 2022

Learn to Adapt for Monocular Depth Estimation.
CoRR, 2022

MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer.
Proceedings of the International Conference on 3D Vision, 2022

2021
Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency.
IEEE Trans. Neural Networks Learn. Syst., 2021

2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey.
Patterns, 2020

Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency.
CoRR, 2020

Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency.
CoRR, 2020

Monocular Depth Estimation Based On Deep Learning: An Overview.
CoRR, 2020

Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview.
CoRR, 2020

Trajectory Planning for Unmanned Aircraft Vehicle via Set-Valued Filter.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Deep Direct Visual Odometry.
CoRR, 2019


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