Haozhi Cao

According to our database, Haozhi Cao authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study.

Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang

Int. J. Comput. Vis., April, 2024

Learning Multi-Modal Scale-Aware Attentions for Efficient and Robust Road Segmentation.

Yunjiao Zhou, Jianfei Yang, Haozhi Cao, Zhaoyang Zeng, Han Zou, Lihua Xie

Unmanned Syst., March, 2024

MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception.

Thien-Minh Nguyen, Shenghai Yuan, Thien Hoang Nguyen, Pengyu Yin, Haozhi Cao, Lihua Xie, Maciej K. Wozniak, Patric Jensfelt, Marko Thiel, Justin Ziegenbein, Noel Blunder

CoRR, 2024

Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie

CoRR, 2024

2023

Multi-Source Video Domain Adaptation With Temporal Attentive Moment Alignment Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhengguo Li, Zhenghua Chen

IEEE Trans. Circuits Syst. Video Technol., August, 2023

MoPA: Multi-Modal Prior Aided Domain Adaptation for 3D Semantic Segmentation.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie

CoRR, 2023

Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning.

Pengyu Yin, Haozhi Cao, Thien-Minh Nguyen, Shenghai Yuan, Shuyang Zhang, Kangcheng Liu, Lihua Xie

CoRR, 2023

Segregator: Global Point Cloud Registration with Semantic and Geometric Cues.

Pengyu Yin, Shenghai Yuan, Haozhi Cao, Xingyu Ji, Shuyang Zhang, Lihua Xie

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey.

Yuecong Xu, Haozhi Cao, Zhenghua Chen, Xiaoli Li, Lihua Xie, Jianfei Yang

CoRR, 2022

Learning Temporal Consistency for Source-Free Video Domain Adaptation.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

CoRR, 2022

Adversarial Cross-modal Domain Adaptation for Multi-modal Semantic Segmentation in Autonomous Driving.

Mengqi Shi, Haozhi Cao, Lihua Xie, Jianfei Yang

Proceedings of the 17th International Conference on Control, 2022

Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Effective action recognition with embedded key point shifts.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See

Pattern Recognit., 2021

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

Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See

Neurocomputing, 2021

Self-Supervised Video Representation Learning by Video Incoherence Detection.

Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See

CoRR, 2021

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

Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Rui Zhao, Zhenghua Chen

CoRR, 2021

Aligning Correlation Information for Domain Adaptation in Action Recognition.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See

CoRR, 2021

Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network.

Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See

CoRR, 2020