Pengchong Qiao

According to our database, Pengchong Qiao authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.

Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen

CoRR, 2024

2023

Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.

Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen

IEEE Trans. Medical Imaging, May, 2023

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning.

Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning.

Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation.

Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation.

Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation.

Pengchong Qiao, Zhidan Wei, Yu Wang, Chang Liu, Zhennan Wang, Guoli Song, Jie Chen

CoRR, 2022

Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization.

Zhennan Wang, Kehan Li, Runyi Yu, Yian Zhao, Pengchong Qiao, Guoli Song, Fan Xu, Jie Chen

CoRR, 2022

Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network.

Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia

Artif. Intell. Medicine, 2022

2021

Hard-Boundary Attention Network for Nuclei Instance Segmentation.

Yalu Cheng, Pengchong Qiao, Hongliang He, Guoli Song, Jie Chen

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

2020

Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network.

Chao Chai, Pengchong Qiao, Bin Zhao, Huiying Wang, Guohua Liu, Hong Wu, E. Mark Haacke, Wen Shen, Chen Cao, Xinchen Ye, Zhiyang Liu, Shuang Xia

CoRR, 2020