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ORCIDYongqiang Zhang 0007
Person information
- affiliation: Harbin Institute of Technology, HIT, 1School of Instrument Science and Engineering, China
- affiliation: King Abdullah University of Science and Technology, Visual Computing Center, Thuwal, Saudi Arabia
Other persons with the same name
- Yongqiang Zhang — disambiguation page
- Yongqiang Zhang 0001 — Hebei University of Science and Technology, School of Information Science and Engineering, China
- Yongqiang Zhang 0002 — Leibniz-Centre for Agricultural Landscape Research, Müncheberg, Germany
- Yongqiang Zhang 0003
![[0000-0001-5809-4829]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5809-4829")
— NetEase Fuxi AI Lab, Hangzhou, China (and 1 more) - Yongqiang Zhang 0004 — CSIRO Land and Water, Canberra, ACT, Australia (and 1 more)
- Yongqiang Zhang 0005 — King Abdullah University of Science and Technology, KAUST, Computer, Electrical, and Mathematical Sciences and Engineering Division, Saudi Arabia (and 1 more)
- Yongqiang Zhang 0006 — Hefei University of Technology, School of Electronic Science and AppliedPhysics, China
- Yongqiang Zhang 0008 — Xi'an University of Science and Technology, School of Mechanical Engineering, Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Monitoring, China
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Journal Articles
- 2024
[j15]Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo:
R-CCF: region-aware continual contrastive fusion for weakly supervised object detection. Appl. Intell. 54(6): 4689-4712 (2024)- [j14]Zian Zhang, Yongqiang Zhang, Yin Zhang, Rui Tian, Mingli Ding:
Vital information is only worth one thumbnail: Towards efficient human pose estimation. Pattern Recognit. 147: 110111 (2024) - 2023
- [j13]Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding:
ThumbDet: One thumbnail image is enough for object detection. Pattern Recognit. 138: 109424 (2023) - [j12]Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai:
Class-incremental object detection. Pattern Recognit. 139: 109488 (2023) - [j11]Yueyi Zhu, Yongqiang Zhang, Mingli Ding, Wangmeng Zuo:
Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3257-3269 (2023) - 2022
- [j10]Guanglei Yang, Mingli Ding, Yongqiang Zhang:
Bi-directional class-wise adversaries for unsupervised domain adaptation. Appl. Intell. 52(4): 3623-3639 (2022) - [j9]Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai:
One-stage object detection knowledge distillation via adversarial learning. Appl. Intell. 52(4): 4582-4598 (2022) - 2021
- [j8]Cong Wang, Yin Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding:
Mars Image Super-Resolution Based on Generative Adversarial Network. IEEE Access 9: 108889-108898 (2021) - [j7]Cong Wang, Zian Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding:
GMSRI: A Texture-Based Martian Surface Rock Image Dataset. Sensors 21(16): 5410 (2021) - [j6]Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem:
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2251-2265 (2021) - 2020
- [j5]Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem:
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild. Int. J. Comput. Vis. 128(6): 1810-1828 (2020) - 2019
- [j4]Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem:
Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81]. Pattern Recognit. 90: 483 (2019) - [j3]Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem:
Detecting small faces in the wild based on generative adversarial network and contextual information. Pattern Recognit. 94: 74-86 (2019) - [j2]Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem:
Learning a strong detector for action localization in videos. Pattern Recognit. Lett. 128: 407-413 (2019) - 2018
- [j1]Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem:
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. Pattern Recognit. 84: 68-81 (2018)
Conference and Workshop Papers
- 2024
- [c8]Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding:
ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection. AAAI 2024: 7387-7395 - 2023
- [c7]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. AAAI 2023: 543-551 - [c6]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. ICCV 2023: 6917-6926 - 2021
- [c5]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. NeurIPS 2021: 30492-30503 - 2018
- [c4]Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem:
Finding Tiny Faces in the Wild With Generative Adversarial Network. CVPR 2018: 21-30 - [c3]Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem:
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. CVPR 2018: 928-936 - [c2]Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem:
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network. ECCV (13) 2018: 210-226 - 2016
- [c1]Yongqiang Zhang, Mingli Ding, Wuyifang Fu, Yongqiang Li:
Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line. ICMV 2016: 103410K
Informal and Other Publications
- 2023
- [i4]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. CoRR abs/2305.12833 (2023) - 2022
- [i3]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. CoRR abs/2205.04042 (2022) - [i2]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Open World DETR: Transformer based Open World Object Detection. CoRR abs/2212.02969 (2022) - 2021
- [i1]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. CoRR abs/2110.15017 (2021)
Coauthor Index
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