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乔欣博士

Dr. Xin Qiao

人工智能学院助理教授 Assistant Professor, College of Artificial Intelligence

青年优秀人才支持计划 Program for Supporting Young and Excellent Talents

研究兴趣为三维深度感知、计算机视觉、计算成像和深度学习等。

Research interests: 3D perception, computer vision, computational imaging, and deep learning.

Email: wudiqx@xjtu.edu.cn

教育和工作经历 Educating/Working Experiences

2024-至今，，人工智能学院，助理教授合作导师：郑南宁教授

Working as an assistant professor in the College of Artificial Intelligence.

2018-2023，，人工智能学院，博士研究生

Ph.D. degree received in Pattern Recognition and Intelligent System from Xi'an Jiaotong University, with Prof. Chenyang Ge.

2021-2022，博洛尼亚大学，计算机与工程学院，联合培养博士研究生

Joint-Supervision Ph.D. student at Computer Vision Lab in University of Bologna, with Prof. Stefano Mattoccia.

2015-2018，西安机电信息技术研究所(中国兵器第212研究所)，助理工程师/工程师

Working as an (assistant) engineer in Xi’an Institute of Electromechanical Information Technology.

2012-2015，西安机电信息技术研究所(中国兵器第212研究所)，硕士研究生

M.S degree received in Mechatronic Engineering from Xi’an Institute of Electromechanical Information Technology.

2008-2012，电子科技大学，光电信息学院，工学学士

B.S degree received in Information Display and Optoelectronics from University of Electronic Science and Technology of China (UESTC).

部分代表性成果 Publications

Journals

[9] Xin Qiao, Matteo Poggi, Pengchao Deng, et al. ToF-based RGBD camera Imaging via deep learning: A survey[J]. International Journal of Computer Vision (IJCV), 2024.

[8] Pengchao Deng, Chenyang Ge, Hao Wei, Yuan Sun, Xin Qiao. Multimodal contrastive learning for face anti-spoofing[J]. Engineering Applications of Artificial Intelligence (EAAI), 2024, 129: 107600.

[7] Hao Wei, Chenyang Ge, Xin Qiao, et al. Real‐world image deblurring using data synthesis and feature complementary network[J]. IET Image Processing, 2024.

[6] Hao Wei, Chenyang Ge, Zhiyuan Li, Xin Qiao, et al. Towards Extreme Image Rescaling with Generative Prior and Invertible Prior[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.

[5] Xin Qiao, Chenyang Ge, Pengchao Deng, et al. Depth restoration in under-display time-of-flight imaging[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(5): 5668-5683.

[4] Xin Qiao, Chenyang Ge, Chaoqiang Zhao, et al. Self-supervised Depth Super-resolution with Contrastive Multiview Pre-training[J]. Neural Networks (NN), 2023, 168: 223-236.

[3] Xin Qiao, Chenyang Ge, Youmin Zhang, et al. Depth Super-Resolution from Explicit and Implicit High-Frequency Features[J]. Computer Vision and Image Understanding (CVIU), 2023, 237: 103841.

[2] Pengchao Deng, Chenyang Ge, Xin Qiao, et al. Attention-Aware Dual-Stream Network for Multimodal Face Anti-Spoofing, IEEE Transactions on Information Forensics and Security (TIFS), 2023, 18: 4258-4271.

[1] 乔欣,葛晨阳,邓鹏超,等.ToF 相机的有效深度数据提取与校正算法研究[J]. 智能科学与技术学报, 2020, 2(1): 72-79.

Conferences

[5] Hao Wei, Chenyang Ge, Xin Qiao, et al. Non-uniform Deblurring by Deep Sharpness Edge Guided Model[C]. IEEE International Conference on Visual Communications and Image Processing, 2023: 1-5.

[4] Yuan Sun, Hao Wei, Xin Qiao, et al. Under-Display ToF Imaging with Efficient Transformer[C]. IEEE International Conference on Visual Communications and Image Processing, 2023: 1-5.

[3] Pengchao Deng, Chenyang Ge, Xin Qiao, et al. Multi-stream face anti-spoofing system using 3D information[C]. IEEE International Conference on Consumer Electronics, 2022: 1-6.

[2] Xin Qiao, Chenyang Ge, Huimin Yao, et al. Valid depth data extraction and correction for time-of-flight camera[C]. International Conference on Machine Vision. International Society for Optics and Photonics, 2020, 11433: 114332K.

[1] Jie Zhou, Chenyang Ge, Jiaqi Yang, Huimin Yao, Xin Qiao, et al. Research and application of face anti-spoofing based on depth camera[C]. China Symposium on Cognitive Computing and Hybrid, 2019: 225-229.

Patents

[5] 葛晨阳; 乔欣等。一种基于激光散斑投射的ToF深度传感器及其测距方法, 2020-10-27, 中国, CN201811551867.0.

[4] Chenyang Ge; Xin Qiao; et al. TOF depth sensor based on laser speckle projection and distance measuring method thereof, 2021-10-12, 美国, US11143880B2.

[3] 葛晨阳; 乔欣等。融合散斑和泛光投射的ToF深度传感器及其测距方法, 2022-4-5, 中国, CN202010057595.X.