Zhiwei Xiong (熊志伟)

Professor, PhD Advisor

Dept. Electronic Engineering & Information Science (EEIS), University of Science and Technology of China (USTC)

Email: zwxiong AT ustc.edu.cn
Phone: (86) 551-63603627
Address: Dept. EEIS, P.O.Box 4, Hefei 230027, Anhui, China
Office: Room 1103, West Tower of Twin Buildings, West Campus of USTC


Brief

Zhiwei Xiong received his B.S. and Ph.D. degrees in Electronic Engineering from USTC in 2006 and 2011, respectively. After working at Microsoft Research Asia (MSRA) as a Researcher for five years, he returned USTC as a Professor in 2016. His research interests include computational imaging, inverse problems in computer vision, and visual data compression. He has authored or co-authored dozens of papers in premium journals and conferences, which receive more than 600 citations according to Google Scholar. He was awarded MSRA Fellowship 2009 and IEEE VCIP Best Reviewer 2013.

Our VIDAR lab (Visual Information Discovery And Recovery, co-supervised with Prof. Dong Liu) is a vibrant team aiming at world-class research in computer vision and image processing. Undergraduate talents who have passion for an academic career in related fields are welcome to join us. Kindly note that we have a high standard for graduate students, and also be prepared for challenging interviews during application.


Research Topics & Selected Publications (*corresponding author)

[New] Deep learning for inverse problems

  1. Zhan Shi, Chang Chen, Zhiwei Xiong*, Dong Liu, Zheng-Jun Zha, Feng Wu, "Deep residual attention network for spectral image super-resolution", European Conference on Computer Vision Workshops (ECCVW), 2018. (Winner of PIRM Challenge on Spectral Image Super-Resolution)
  2. Chang Chen, Zhiwei Xiong*, Xinmei Tian, Feng Wu, "Deep boosting for image denoising", European Conference on Computer Vision (ECCV), 2018.
  3. Zhan Shi, Chang Chen, Zhiwei Xiong*, Dong Liu, Feng Wu, "HSCNN+: advanced CNN-based hyperspectral recovery from RGB images", IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018. (Winner of NTIRE Challenge on Spectral Reconstruction from RGB Images)
  4. Zhiwei Xiong*, Zhan Shi, Huiqun Li, Lizhi Wang, Dong Liu, Feng Wu, "HSCNN: CNN-based hyperspectral image recovery from spectrally undersampled projections", IEEE International Conference on Computer Vision Workshops (ICCVW), 2017.

[New] Plenoptic image acquisition & processing

  1. Jiayong Peng, Zhiwei Xiong*, Dong Liu, Xuejin Chen, "Unsupervised depth estimation from light field using a convolutional neural network", International Conference on 3D Vision (3DV), 2018.
  2. Lizhi Wang, Zhiwei Xiong*, Guangming Shi, Wenjun Zeng, Feng Wu, "Simultaneous depth and spectral imaging with a cross-modal stereo system", IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) 28(3): 812-817, 2018.
  3. Zhiwei Xiong*, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu, "Snapshot hyperspectral light field imaging", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Dataset]
  4. Dong Liu, Lizhi Wang, Li Li, Zhiwei Xiong, Feng Wu, Wenjun Zeng, "Pseudo-sequence-based light field image compression", IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2016. (Winner of Grand Challenge on Light-Field Image Compression)

[New] Brain image processing & analysis

  1. Meng Dong, Dong Liu, Zhiwei Xiong, Chaoyu Yang, Xuejin Chen, Zheng-Jun Zha, Guoqiang Bi, Feng Wu, "3D CNN-based soma segmentation from brain images at single-neuron resolution", IEEE International Conference on Image Processing (ICIP), 2018.
  2. Puning Zhao, Zhiwei Xiong*, Dong Liu, Hao Wang, Chaoyu Yang, Lufeng Ding, Weiping Ding, Zheng-Jun Zha, Guoqiang Bi, Feng Wu, "Progressive tone mapping of brain images at single-neuron resolution", IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017.
  3. Hao Wang, Qingyuan Zhu, Lufeng Ding, Yan Shen, Chao-Yu Yang, Fang Xu, Chang Shu, Yujie Guo, Zhiwei Xiong, et al., "Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution", bioRxiv, 240770, 2017.

Hyperspectral imaging

  1. Lizhi Wang, Zhiwei Xiong*, Hua Huang, Guangming Shi, Feng Wu, Wenjun Zeng, "High-speed hyperspectral video acquisition by combining Nyquist and compressive sampling", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), In press.
  2. Lizhi Wang, Zhiwei Xiong*, Guangming Shi, Feng Wu, Wenjun Zeng, "Adaptive nonlocal sparse representation for dual-camera compressive hyperspectral imaging", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 39(10): 2104-2011, 2017.
  3. Lizhi Wang, Zhiwei Xiong, Guangming Shi, Wenjun Zeng, Feng Wu, "Compressive hyperspectral imaging with complementary RGB measurements", IEEE Conference on Visual Communications and Image Processing (VCIP), 2016. (Best Paper Award)
  4. Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wenjun Zeng, Feng Wu, "High-speed hyperspectral video acquisition with a dual-camera architecture", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  5. Lizhi Wang, Zhiwei Xiong*, Dahua Gao, Guangming Shi, Feng Wu, "Dual-camera design for coded aperture snapshot spectral imaging", Applied Optics 54(4): 848-858, 2015.

Depth sensing

  1. Zhiwei Xiong*, Yueyi Zhang, Feng Wu, Wenjun Zeng, "Computational depth sensing: toward high-performance commodity depth cameras", IEEE Signal Processing Magazine (SPM) 34(3): 55-68, 2017. (Feature article on the cover)
  2. Pengyu Cong, Zhiwei Xiong*, Yueyi Zhang, Shenghui Zhao, Feng Wu, "Accurate dynamic 3D sensing with Fourier-assisted phase shifting", IEEE Journal of Selected Topics in Signal Processing (J-STSP) 9(3): 396–408, 2015.
  3. Yueyi Zhang, Zhiwei Xiong, Zhe Yang, Feng Wu, "Real-time scalable depth sensing with hybrid structured light illumination", IEEE Transactions on Image Processing (T-IP) 23(1): 97-109, 2014.
  4. Yueyi Zhang, Zhiwei Xiong*, Feng Wu, "Unambiguous 3D measurement from speckle-embedded fringe", Applied Optics 52(32): 7797-7805, 2013.
  5. Zhe Yang, Zhiwei Xiong, Yueyi Zhang, Jiao Wang, Feng Wu, "Depth acquisition from density modulated binary patterns", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. (Oral, acceptance rate 3.3%)

Super-resolution & Inpainting

  1. Mading Li, Jiaying Liu, Zhiwei Xiong, Xiaoyan Sun, Zongming Guo, "MARLow: a joint multiplanar autoregressive and low-rank approach for image completion", European Conference on Computer Vision (ECCV), 2016.
  2. Zhiwei Xiong*, Dong Xu, Xiaoyan Sun, Feng Wu, "Example-based super-resolution with soft information and decision", IEEE Transactions on Multimedia (T-MM) 15(6): 1458-1465, 2013.
  3. Zhiwei Xiong, Xiaoyan Sun, Feng Wu, "Robust web image/video super-resolution", IEEE Transactions on Image Processing (T-IP) 19(8): 2017-2028, 2010.
  4. Zhiwei Xiong*, Xiaoyan Sun, Feng Wu, "Block-based image compression with parameter-assistant inpainting", IEEE Transactions on Image Processing (T-IP) 19(6): 1651-1657, 2010.
  5. Zhiwei Xiong*, Xiaoyan Sun, Feng Wu, "Image hallucination with feature enhancement", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

National Projects

  • 国家自然科学基金:深度光谱联合计算成像及其高维信息重建,主持
  • 国家自然科学基金:全脑尺度神经环路快速三维显微成像与数据处理新技术,参与
  • 国家重点研发计划:下一代深度学习理论、方法与关键技术,参与

  • Affiliations

  • 类脑智能技术及应用国家工程实验室
  • 多媒体计算与通信教育部—微软重点实验室
  • 中国科学院空间信息处理与应用系统技术重点实验室

  • Teaching

  • 人工智能导论

  • Last updated on Oct 20, 2018.