Haozhi Cao

Orcid: 0000-0001-7703-3490

According to our database1, Haozhi Cao authored at least 29 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment.
IEEE Robotics Autom. Lett., December, 2024

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.
ACM Comput. Surv., December, 2024

Self-Supervised Video Representation Learning by Video Incoherence Detection.
IEEE Trans. Cybern., June, 2024

Aligning Correlation Information for Domain Adaptation in Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.
Int. J. Comput. Vis., April, 2024

Learning Multi-Modal Scale-Aware Attentions for Efficient and Robust Road Segmentation.
Unmanned Syst., March, 2024

Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation.
Trans. Mach. Learn. Res., 2024

An Efficient Scene Coordinate Encoding and Relocalization Method.
CoRR, 2024

UniRiT: Towards Few-Shot Non-Rigid Point Cloud Registration.
CoRR, 2024

Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement.
CoRR, 2024

GERA: Geometric Embedding for Efficient Point Registration Analysis.
CoRR, 2024

AIR-Embodied: An Efficient Active 3DGS-based Interaction and Reconstruction Framework with Embodied Large Language Model.
CoRR, 2024

Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reliable Spatial-Temporal Voxels For Multi-modal Test-Time Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Segregator: Global Point Cloud Registration with Semantic and Geometric Cues.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning Temporal Consistency for Source-Free Video Domain Adaptation.
CoRR, 2022

Adversarial Cross-modal Domain Adaptation for Multi-modal Semantic Segmentation in Autonomous Driving.
Proceedings of the 17th International Conference on Control, 2022

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Effective action recognition with embedded key point shifts.
Pattern Recognit., 2021

PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition.
Neurocomputing, 2021

Self-Supervised Video Representation Learning by Video Incoherence Detection.
CoRR, 2021

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment.
CoRR, 2021

Aligning Correlation Information for Domain Adaptation in Action Recognition.
CoRR, 2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
ARID: A New Dataset for Recognizing Action in the Dark.
CoRR, 2020


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