Yongqiang Zhang

According to our database, Yongqiang Zhang authored at least 26 papers between 2016 and 2024.

Collaborative distances:

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

2024

Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Int. J. Comput. Vis., November, 2024

Vital information is only worth one thumbnail: Towards efficient human pose estimation.

Zian Zhang, Yongqiang Zhang, Yin Zhang, Rui Tian, Mingli Ding

Pattern Recognit., March, 2024

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection.

Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo

Appl. Intell., March, 2024

Multi-Modality Driven LoRA for Adverse Condition Depth Estimation.

Guanglei Yang, Rui Tian, Yongqiang Zhang, Zhun Zhong, Yongqiang Li, Wangmeng Zuo

CoRR, 2024

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection.

Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection.

Yueyi Zhu, Yongqiang Zhang, Mingli Ding, Wangmeng Zuo

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

Class-incremental object detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai

Pattern Recognit., July, 2023

ThumbDet: One thumbnail image is enough for object detection.

Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding

Pattern Recognit., June, 2023

Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

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

Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Open World DETR: Transformer based Open World Object Detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

CoRR, 2022

Bi-directional class-wise adversaries for unsupervised domain adaptation.

Guanglei Yang, Mingli Ding, Yongqiang Zhang

Appl. Intell., 2022

One-stage object detection knowledge distillation via adversarial learning.

Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai

Appl. Intell., 2022

2021

KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Cong Wang, Zian Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding

Sensors, 2021

Mars Image Super-Resolution Based on Generative Adversarial Network.

Cong Wang, Yin Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding

IEEE Access, 2021

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

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.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem

Int. J. Comput. Vis., 2020

2019

Learning a strong detector for action localization in videos.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem

Pattern Recognit. Lett., 2019

Detecting small faces in the wild based on generative adversarial network and contextual information.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem

Pattern Recognit., 2019

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

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2019

2018

Weakly-supervised object detection via mining pseudo ground truth bounding-boxes.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2018

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018, 2018

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Finding Tiny Faces in the Wild With Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

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.

Yongqiang Zhang, Mingli Ding, Wuyifang Fu, Yongqiang Li

Proceedings of the Ninth International Conference on Machine Vision, 2016