Wenzhao Zheng

Orcid: 0000-0001-7188-3734

According to our database1, Wenzhao Zheng authored at least 32 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SPTR: Structure-Preserving Transformer for Unsupervised Indoor Depth Completion.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Introspective Deep Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

GenAD: Generative End-to-End Autonomous Driving.
CoRR, 2024

Path Choice Matters for Clear Attribution in Path Methods.
CoRR, 2024

2023
Deep Metric Learning With Adaptively Composite Dynamic Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving.
CoRR, 2023

SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction.
CoRR, 2023

LiDAR-HMR: 3D Human Mesh Recovery from LiDAR.
CoRR, 2023

Exploring Unified Perspective For Fast Shapley Value Estimation.
CoRR, 2023

PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction.
CoRR, 2023

Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes.
CoRR, 2023

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Token-Label Alignment for Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Factorized Metric Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Simple Baseline for Multi-Camera 3D Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Probabilistic Deep Metric Learning for Hyperspectral Image Classification.
CoRR, 2022

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.
CoRR, 2022

Dynamic Metric Learning with Cross-Level Concept Distillation.
Proceedings of the Computer Vision, 2022

Dimension Embeddings for Monocular 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Attributable Visual Similarity Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation.
Proceedings of the Conference on Robot Learning, 2022

2021
Hardness-Aware Deep Metric Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Relational Metric Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Compositional Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Adversarial Metric Learning.
IEEE Trans. Image Process., 2020

Structural Deep Metric Learning for Room Layout Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Metric Learning via Adaptive Learnable Assessment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Hardness-Aware Deep Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Deep Adversarial Metric Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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