Zhenyu Li

Orcid: 0000-0003-2932-9179

Affiliations:
  • King Abdullah University of Science and Technology, Saudi Arabia


According to our database1, Zhenyu Li authored at least 14 papers between 2021 and 2024.

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Bibliography

2024
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation.
IEEE Trans. Image Process., 2024

ImmersePro: End-to-End Stereo Video Synthesis Via Implicit Disparity Learning.
CoRR, 2024

AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal Conditioning.
CoRR, 2024

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation.
Mach. Intell. Res., December, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR, 2023

Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection.
CoRR, 2023

2022
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty.
IEEE CAA J. Autom. Sinica, 2022

LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training.
Proceedings of the Computer Vision - ECCV 2022, 2022


SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
CoRR, 2021


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