Zhiqiang Yan

Orcid: 0000-0003-3502-438X

Affiliations:
  • National University of Singapore (NUS), Singapore
  • Nanjing University of Science and Technology (NJUST), Pattern Computing and Application Laboratory, Nanjing, China (PhD 2024)


According to our database1, Zhiqiang Yan authored at least 27 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction.
CoRR, May, 2025

Event-Driven Dynamic Scene Depth Completion.
CoRR, May, 2025

DuCos: Duality Constrained Depth Super-Resolution via Foundation Model.
CoRR, March, 2025

Learning Inverse Laplacian Pyramid for Progressive Depth Completion.
CoRR, February, 2025

RagNet3D: Learning distinguishable representation for pooled grids in 3D object detection.
Neurocomputing, 2025

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learnable differencing center for nighttime depth perception.
Vis. Intell., 2024

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion.
CoRR, 2024

DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain.
CoRR, 2024

Degradation Oriented and Regularized Network for Real-World Depth Super-Resolution.
CoRR, 2024

Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction.
CoRR, 2024

MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space.
CoRR, 2024

Scene Prior Filtering for Depth Map Super-Resolution.
CoRR, 2024

Tri-Perspective view Decomposition for Geometry-Aware Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
RigNet++: Efficient Repetitive Image Guided Network for Depth Completion.
CoRR, 2023

Learnable Differencing Center for Nighttime Depth Perception.
CoRR, 2023

Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image.
CoRR, 2023

Distortion and Uncertainty Aware Loss for Panoramic Depth Completion.
Proceedings of the International Conference on Machine Learning, 2023

DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
RigNet: Repetitive Image Guided Network for Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
RigNet: Repetitive Image Guided Network for Depth Completion.
CoRR, 2021

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


  Loading...