Jianqing Xu

According to our database, Jianqing Xu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR.

Zhengyuan Peng, Jianqing Xu, Shen Li, Jiazhen Ji, Yuge Huang, Jingyun Zhang, Jinmin Li, Shouhong Ding, Rizen Guo, Xin Tan, Lizhuang Ma

CoRR, July, 2025

UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition.

Xiao Lin, Yuge Huang, Jianqing Xu, Yuxi Mi, Shuigeng Zhou, Shouhong Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion.

Yuxi Mi, Zhizhou Zhong, Yuge Huang, Qiuyang Yuan, Xuan Zhao, Jianqing Xu, Shouhong Ding, Shaoming Wang, Rizen Guo, Shuigeng Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models.

Jianlong Jin, Chenglong Zhao, Ruixin Zhang, Sheng Shang, Jianqing Xu, Jingyun Zhang, Shaoming Wang, Yang Zhao, Shouhong Ding, Wei Jia, Yunsheng Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

SlerpFace: Face Template Protection via Spherical Linear Interpolation.

Zhizhou Zhong, Yuxi Mi, Yuge Huang, Jianqing Xu, Guodong Mu, Shouhong Ding, Jingyun Zhang, Rizen Guo, Yunsheng Wu, Shuigeng Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

ID³: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi

CoRR, 2024

ID³: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition.

Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Privacy-Preserving Face Recognition Using Trainable Feature Subtraction.

Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generalized Category Discovery in Semantic Segmentation.

Zhengyuan Peng, Qijian Tian, Jianqing Xu, Yizhang Jin, Xuequan Lu, Xin Tan, Yuan Xie, Lizhuang Ma

CoRR, 2023

Proximity-Informed Calibration for Deep Neural Networks.

Miao Xiong, Ailin Deng, Pang Wei Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

CoRR, 2023

Proximity-Informed Calibration for Deep Neural Networks.

Miao Xiong, Ailin Deng, Pang Wei W. Koh, Jiaying Wu, Shen Li, Jianqing Xu, Bryan Hooi

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

Probabilistic Knowledge Distillation of Face Ensembles.

Jianqing Xu, Shen Li, Ailin Deng, Miao Xiong, Jiaying Wu, Jiaxiang Wu, Shouhong Ding, Bryan Hooi

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

2021

Probabilistic Contrastive Loss for Self-Supervised Learning.

Shen Li, Jianqing Xu, Bryan Hooi

CoRR, 2021

Spherical Confidence Learning for Face Recognition.

Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi

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