Lu Zhang

According to our database, Lu Zhang authored at least 27 papers between 2017 and 2024.

Collaborative distances:

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

2024

Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning.

Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Multi-Prototype Guided Source-Free Domain Adaptive Object Detection for Autonomous Driving.

Siqi Zhang, Lu Zhang, Guangsen Li, Pengcheng Li, Zhiyong Liu

IEEE Trans. Intell. Veh., January, 2024

Active domain adaptation for semantic segmentation via dynamically balancing domainness and uncertainty.

Siqi Zhang, Lu Zhang, Zhiyong Liu

Image Vis. Comput., 2024

Enhancing class-incremental object detection in remote sensing through instance-aware distillation.

Hangtao Feng, Lu Zhang, Xu Yang, Zhi-Yong Liu

Neurocomputing, 2024

2023

RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs.

Hangtao Feng, Lu Zhang, Siqi Zhang, Dong Wang, Xu Yang, Zhiyong Liu

Image Vis. Comput., December, 2023

Semantic Policy Network for Zero-Shot Object Goal Visual Navigation.

Qianfan Zhao, Lu Zhang, Bin He, Zhiyong Liu

IEEE Robotics Autom. Lett., November, 2023

Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation.

Lu Zhang, Xu Yang, Lu Qi, Shaofeng Zeng, Zhiyong Liu

Comput. Vis. Image Underst., October, 2023

Frequency-based pseudo-domain generation for domain generalizable object detection.

Siqi Zhang, Lu Zhang, Zhiyong Liu

Neurocomputing, July, 2023

Zero-Shot Object Goal Visual Navigation.

Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu

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

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation.

Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu

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

Refined Pseudo Labeling for Source-Free Domain Adaptive Object Detection.

Siqi Zhang, Lu Zhang, Zhiyong Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Real 3D Embodied Dataset for Robotic Active Visual Learning.

Qianfan Zhao, Lu Zhang, Lingxi Wu, Hong Qiao, Zhiyong Liu

IEEE Robotics Autom. Lett., 2022

Incremental few-shot object detection via knowledge transfer.

Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu

Pattern Recognit. Lett., 2022

Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning.

Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu

CoRR, 2022

Weakly Aligned Feature Fusion for Multimodal Object Detection.

Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao

CoRR, 2022

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation.

Lu Zhang, Siqi Zhang, Xu Yang, Zhiyong Liu

CoRR, 2022

FIT: Frequency-Based Image Translation for Domain Adaptive Object Detection.

Siqi Zhang, Lu Zhang, Zhiyong Liu, Hangtao Feng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2020

MixedFusion: 6D Object Pose Estimation from Decoupled RGB-Depth Features.

Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development.

Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan

Proceedings of the Neural Information Processing - 27th International Conference, 2020

GSDCN: A Customized Two-Stage Neural Network for Benthonic Organism Detection.

Zhaoliang Wan, Lu Zhang, Hai Huang, Xu Yang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development.

Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019

Cross-modality interactive attention network for multispectral pedestrian detection.

Lu Zhang, Zhiyong Liu, Shifeng Zhang, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain

Inf. Fusion, 2019

Faster R-CNN for marine organisms detection and recognition using data augmentation.

Hai Huang, Hao Zhou, Xu Yang, Lu Zhang, Lu Qi, Ai-Yun Zang

Neurocomputing, 2019

The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection.

Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang

CoRR, 2019

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection.

Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Single Shot Feature Aggregation Network for Underwater Object Detection.

Lu Zhang, Xu Yang, Zhiyong Liu, Lu Qi, Hao Zhou, Charles Chiu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Faster R-CNN for Marine Organism Detection and Recognition Using Data Augmentation.

Hao Zhou, Hai Huang, Xu Yang, Lu Zhang, Lu Qi

Proceedings of the International Conference on Video and Image Processing, 2017