Lu Zhang

Orcid: 0000-0001-6240-5300

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China


According to our database1, Lu Zhang authored at least 25 papers between 2017 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Multi-Prototype Guided Source-Free Domain Adaptive Object Detection for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

2023
RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs.
Image Vis. Comput., December, 2023

Semantic Policy Network for Zero-Shot Object Goal Visual Navigation.
IEEE Robotics Autom. Lett., November, 2023

Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation.
Comput. Vis. Image Underst., October, 2023

Frequency-based pseudo-domain generation for domain generalizable object detection.
Neurocomputing, July, 2023

FIT: Frequency-based Image Translation for Domain Adaptive Object Detection.
CoRR, 2023

Zero-Shot Object Goal Visual Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Refined Pseudo Labeling for Source-Free Domain Adaptive Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Real 3D Embodied Dataset for Robotic Active Visual Learning.
IEEE Robotics Autom. Lett., 2022

Incremental few-shot object detection via knowledge transfer.
Pattern Recognit. Lett., 2022

Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning.
CoRR, 2022

Weakly Aligned Feature Fusion for Multimodal Object Detection.
CoRR, 2022

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation.
CoRR, 2022

2020
MixedFusion: 6D Object Pose Estimation from Decoupled RGB-Depth Features.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Knowledge-Experience Graph with Denoising Autoencoder for Zero-Shot Learning in Visual Cognitive Development.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

GSDCN: A Customized Two-Stage Neural Network for Benthonic Organism Detection.
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.
Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

2019
Cross-modality interactive attention network for multispectral pedestrian detection.
Inf. Fusion, 2019

Faster R-CNN for marine organisms detection and recognition using data augmentation.
Neurocomputing, 2019

The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection.
CoRR, 2019

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Single Shot Feature Aggregation Network for Underwater Object Detection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Faster R-CNN for Marine Organism Detection and Recognition Using Data Augmentation.
Proceedings of the International Conference on Video and Image Processing, 2017


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