Yongqiang Zhang

Orcid: 0000-0002-0437-7337

Affiliations:
  • Harbin Institute of Technology, HIT, 1School of Instrument Science and Engineering, China
  • King Abdullah University of Science and Technology, Visual Computing Center, Thuwal, Saudi Arabia


According to our database1, Yongqiang Zhang authored at least 23 papers between 2016 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Vital information is only worth one thumbnail: Towards efficient human pose estimation.
Pattern Recognit., March, 2024

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Class-incremental object detection.
Pattern Recognit., July, 2023

ThumbDet: One thumbnail image is enough for object detection.
Pattern Recognit., June, 2023

Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Open World DETR: Transformer based Open World Object Detection.
CoRR, 2022

Bi-directional class-wise adversaries for unsupervised domain adaptation.
Appl. Intell., 2022

One-stage object detection knowledge distillation via adversarial learning.
Appl. Intell., 2022

2021
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.
IEEE Trans. Neural Networks Learn. Syst., 2021

GMSRI: A Texture-Based Martian Surface Rock Image Dataset.
Sensors, 2021

Mars Image Super-Resolution Based on Generative Adversarial Network.
IEEE Access, 2021

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild.
Int. J. Comput. Vis., 2020

2019
Learning a strong detector for action localization in videos.
Pattern Recognit. Lett., 2019

Detecting small faces in the wild based on generative adversarial network and contextual information.
Pattern Recognit., 2019

Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81].
Pattern Recognit., 2019

2018
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes.
Pattern Recognit., 2018

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network.
Proceedings of the Computer Vision - ECCV 2018, 2018

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Finding Tiny Faces in the Wild With Generative Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line.
Proceedings of the Ninth International Conference on Machine Vision, 2016


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