Lu Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Object Detection

Convolutional Network

Visual Navigation

Top Venues

IEEE Robotics Autom. Lett.

Image Vis. Comput.

Publications

Hangtao Feng, Lu Zhang, Xu Yang, Zhi-Yong Liu
Enhancing class-incremental object detection in remote sensing through instance-aware distillation. Neurocomputing 583 (2024)
Siqi Zhang, Lu Zhang, Guangsen Li, Pengcheng Li, Zhiyong Liu
Multi-Prototype Guided Source-Free Domain Adaptive Object Detection for Autonomous Driving. IEEE Trans. Intell. Veh. 9 (1) (2024)
Siqi Zhang, Lu Zhang, Zhiyong Liu
Active domain adaptation for semantic segmentation via dynamically balancing domainness and uncertainty. Image Vis. Comput. 148 (2024)
Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Qianfan Zhao, Lu Zhang, Bin He, Zhiyong Liu
Semantic Policy Network for Zero-Shot Object Goal Visual Navigation. IEEE Robotics Autom. Lett. 8 (11) (2023)
Hangtao Feng, Lu Zhang, Siqi Zhang, Dong Wang, Xu Yang, Zhiyong Liu
RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs. Image Vis. Comput. 140 (2023)
Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu
Zero-Shot Object Goal Visual Navigation. ICRA (2023)
Siqi Zhang, Lu Zhang, Zhiyong Liu
Refined Pseudo Labeling for Source-Free Domain Adaptive Object Detection. ICASSP (2023)
Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu
Zero-shot object goal visual navigation. CoRR (2022)
Qianfan Zhao, Lu Zhang, Lingxi Wu, Hong Qiao, Zhiyong Liu
A Real 3D Embodied Dataset for Robotic Active Visual Learning. IEEE Robotics Autom. Lett. 7 (3) (2022)
Lu Zhang, Siqi Zhang, Xu Yang, Zhiyong Liu
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation. CoRR (2022)
Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu
Incremental few-shot object detection via knowledge transfer. Pattern Recognit. Lett. 156 (2022)
Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning. CoRR (2022)
Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao
Weakly Aligned Feature Fusion for Multimodal Object Detection. CoRR (2022)
Zhaoliang Wan, Lu Zhang, Hai Huang, Xu Yang
GSDCN: A Customized Two-Stage Neural Network for Benthonic Organism Detection. ICONIP (2) (2020)
Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu
MixedFusion: 6D Object Pose Estimation from Decoupled RGB-Depth Features. ICPR (2020)
Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan
Fusing Knowledge and Experience with Graph Convolutional Network for Cross-task Learning in Visual Cognitive Development. ICCSIP (2020)
Xinyue Zhang, Xu Yang, Zhiyong Liu, Lu Zhang, Dongchun Ren, Mingyu Fan
Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development. ICONIP (5) (2020)
Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection. ICCV (2019)
Lu Zhang, Zhiyong Liu, Shifeng Zhang, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain
Cross-modality interactive attention network for multispectral pedestrian detection. Inf. Fusion 50 (2019)
Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang
The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection. CoRR (2019)
Hai Huang, Hao Zhou, Xu Yang, Lu Zhang, Lu Qi, Ai-Yun Zang
Faster R-CNN for marine organisms detection and recognition using data augmentation. Neurocomputing 337 (2019)
Lu Zhang, Xu Yang, Zhiyong Liu, Lu Qi, Hao Zhou, Charles Chiu
Single Shot Feature Aggregation Network for Underwater Object Detection. ICPR (2018)
Hao Zhou, Hai Huang, Xu Yang, Lu Zhang, Lu Qi
Faster R-CNN for Marine Organism Detection and Recognition Using Data Augmentation. ICVIP (2017)