Binghao Liu

According to our database, Binghao Liu authored at least 30 papers between 2020 and 2024.

Collaborative distances:

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

2024

LDC-PP-YOLOE: a lightweight model for detecting and counting citrus fruit.

Yibo Lv, Shenglian Lu, Xiaoyu Liu, Jiangchuan Bao, Binghao Liu, Ming Chen, Guo Li

Pattern Anal. Appl., December, 2024

VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation.

Qiang Wang, Wenquan Feng, Hongbo Zhao, Binghao Liu, Shuchang Lyu

Remote. Sens., June, 2024

Overcomplete-to-sparse representation learning for few-shot class-incremental learning.

Mengying Fu, Binghao Liu, TianRen Ma, Qixiang Ye

Multim. Syst., April, 2024

A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation.

Qi Zhao, Binghao Liu, Shuchang Lyu, Huojin Chen

IEEE Trans. Cogn. Dev. Syst., February, 2024

Improving Scarce RS Data Classification With Independent Noise and Feature Mutual Exclusion.

Binghao Liu, Yidi Bai

IEEE Geosci. Remote. Sens. Lett., 2024

OV-VG: A benchmark for open-vocabulary visual grounding.

Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao

Neurocomputing, 2024

Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation.

Qi Zhao, Shuchang Lyu, Hongbo Zhao, Binghao Liu, Lijiang Chen, Guangliang Cheng

Int. J. Appl. Earth Obs. Geoinformation, 2024

Self-Training and Curriculum Learning Guided Dynamic Refined Network for Remote Sensing Class-Incremental Semantic Segmentation.

Hongbo Zhao, Ruimin Ren, Shuchang Lyu, Binghao Liu, Chunlei Wang, Meng Li, Guangliang Cheng, Qi Zhao

Proceedings of the IGARSS 2024, 2024

2023

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network.

Qi Zhao, Shuchang Lyu, Lijiang Chen, Binghao Liu, Ting-Bing Xu, Guangliang Cheng, Wenquan Feng

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

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning.

Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Detection Method of Infected Wood on Digital Orthophoto Map-Digital Surface Model Fusion Network.

Guangbiao Wang, Hongbo Zhao, Qing Chang, Shuchang Lyu, Binghao Liu, Chunlei Wang, Wenquan Feng

Remote. Sens., September, 2023

TPH-YOLOv5-Air: Airport Confusing Object Detection via Adaptively Spatial Feature Fusion.

Qiang Wang, Wenquan Feng, Lifan Yao, Chen Zhuang, Binghao Liu, Lijiang Chen

Remote. Sens., August, 2023

TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer.

Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Hong Zhang

Remote. Sens., March, 2023

Dynamic Support Network for Few-Shot Class Incremental Learning.

Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation.

Qi Zhao, Shuchang Lyu, Binghao Liu, Lijiang Chen, Hongbo Zhao

CoRR, 2023

Representative Feature Learning and Task Decoupling for Few-Shot Object Detection.

Xiaozhong Chen, Binghao Liu, Qixiang Ye

Proceedings of the 7th International Symposium on Computer Science and Intelligent Control, 2023

Enhancing Spatial Consistency and Class-Level Diversity for Segmenting Fine-Grained Objects.

Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Yifan Yang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision.

Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao

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

Decision Boundary Optimization for Few-shot Class-Incremental Learning.

Chenxu Guo, Qi Zhao, Shuchang Lyu, Binghao Liu, Chunlei Wang, Lijiang Chen, Guangliang Cheng

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

2022

A feature consistency driven attention erasing network for fine-grained image retrieval.

Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang

Pattern Recognit., 2022

CitrusYOLO: A Algorithm for Citrus Detection under Orchard Environment Based on YOLOv4.

Wenkang Chen, Shenglian Lu, Binghao Liu, Ming Chen, Guo Li, Tingting Qian

Multim. Tools Appl., 2022

A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation.

Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen

CoRR, 2022

ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning.

Yuewen Li, Binghao Liu, Shuchang Lyu, Lijiang Chen, Qi Zhao, Wenquan Feng

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

A Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic Segmentation.

Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Harmonic Feature Activation for Few-Shot Semantic Segmentation.

Binghao Liu, Jianbin Jiao, Qixiang Ye

IEEE Trans. Image Process., 2021

A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation.

Qi Zhao, Binghao Liu, Shuchang Lyu, Xu Wang, Yifan Yang

CoRR, 2021

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning.

Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye

CoRR, 2021

Knowledge-Aware Hypergraph Neural Network for Recommender Systems.

Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng

Proceedings of the Database Systems for Advanced Applications, 2021

Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation.

Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Detecting Citrus in Orchard Environment by Using Improved YOLOv4.

Wenkang Chen, Shenglian Lu, Binghao Liu, Guo Li, Tingting Qian

Sci. Program., 2020