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导师与研究领域、方向:

国家特聘专家,北京大学数字视频编解码技术国家工程实验室深圳分室负责人 美国奥本大学(Auburn University)电子工程博士学位,美国加州大学戴维斯分校(Univ. of California, Davis)电子工程博士后。在国际会议与期刊上发表了多篇论文,已申请多项国内外发明专利。

曾就职于多家跨国公司,从事无线移动通信、手机基带芯片算法设计和视频编解码SoC设计等前沿项目。作为技术与管理带头人之一,先后参与创立了两家半导体设计公司,分别被两家美国纳斯达克上市公司收购。

目前主要从事视频处理与分析、视频大数据挖掘等方面的研究。

研究方向1. 多媒体处理与分析 2. 人工智能与数据挖掘 3. 信号处理与数字通讯等


近年承担及参与的主要国内外科研项目:
1.深圳市“孔雀创新团队”项目:新一代网络视频处理技术

2.国家自然基金委-广东省政府重大专项:视频大数据高效表达、深度分析与综合利用

3.科技部重大仪器项目:超高清视频实时分析增强仪开发和应用

4.深圳市科技计划基础研究学科布局项目:基20170145面向监控视频智能分析的大数据平台构建关键技术研究

5.深圳市科技计划基础研究自由探索项目:基于深度神经网络学习的视频行为分析研究

发表的主要学术论文:

  1. Yiting Shao, Qi Zhang, Ge Li, Zhu Li, and Li Li, “Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction,” in ACM Multimedia Conference 2018, Accepted.
  2. Jingjia Huang, Nannan Li, Jia-Xing Zhong, Thomas H.Li, and Ge Li, “Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern,” in ACM Multimedia Conference 2018, Accepted.
  3. Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, and Ge Li, “Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector,” in ACM Multimedia Conference 2018, Accepted.
  4. Yurui Ren, Zhenqiang Ying, Thomas H. Li, and Ge Li, “LECARM: Low-Light Image Enhancement using Camera Response Model,” IEEE Trans. Circuits Syst. Video Technol., DOI 10.1109/TCSVT.2018.2828141, 2018.
  5. Nannan Li, Jingjia Huang, Thomas Li, Huiwen Guo, and Ge Li, “Detecting Action Tubes via Spatial Action Estimation and Temporal Path Inference,” Neurocomputing, VOL. 14, NO. 8, May 2018.
  6. Kan Huang, Chunbiao Zhu, and Ge Li, “Saliency detection by adaptive channel fusion,” IEEE Signal Processing Letters, vol. 25, no. 7, pp. 1059-1063, Jul.2018.
  7. Ronggang Wang, Zhenyu Wang, Kui Fan, Tiejun Huang, Wenmin Wang, Ge Li, and Wen Gao, “MPEG Internet Video-Coding Standard and Its Performance Evalution,” IEEE Trans. Circuits Syst. Video Technol., vol. 28, no. 3, Mar. 2018.
  8. Wenhao Zhang, Ge Li, and Zhenqiang Ying, “Underwater Image Enhancement By the Combination of Dehazing and Color Correction,” in Pacific-Rim Conference on Multimedia PCM2018, 2018.
  9. Kai Lin, Yiwei Zhang, Thomas H. Li, Kan Huang, and Ge Li, “Adaptive Integration Skip Compensation Neural Networks for Removing Mixed Noise in Image,” in Pacific-Rim Conference on Multimedia PCM2018, 2018.
  10. Kan Huang, Chunbiao Zhu, and Ge Li. “Robust salient object detection via fusing foreground and background priors,” in 2018 IEEE International Conference on Image Processing (ICIP), Greece.
  11. Chunbiao Zhu, Kan Huang, and Ge Li, “An Innovative Saliency Guided RoI Selection Model for Panoramic Images Compression,” in IEEE Data Compression Conference (DCC), 2018, USA.
  12. Chunbiao Zhu, Xing Cai, Kan Huang, Thomas.H Li, and Ge Li, “PDNet: Prior-Model Guided Depth-enhanced Network for Salient Object Detection,” in IEEE International Conference on Multimedia and Expo (ICME) 2018, USA.
  13. Chunbiao Zhu and Ge Li, “A multilayer backpropagation saliency detection algorithm and its applications,” Multimedia Tools and Applications, vol. 77, no. 19, pp. 25181 - 25197, Oct. 2018.
  14. Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, and Ge Li, “An active action proposal method based on reinforcement learning,” in 2018 IEEE International Conference on Image Processing (ICIP), Greece.
  15. Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, and Wen Gao, “SAP: Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning,” in the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2018, pp. 6951-6958.
  16. Weijie Kong, Nannan Li, Thomas H. Li, and Ge Li, “Deep Pedestrian Detection Using Contextual Information and Multi-level Features,” in the 24th International Conference on Multimedia Modeling (MMM 2018),
  17. Kai Lin, Ge Li, Yiwei Zhang, and Jiaxing Zhong, “A New Accurate Image Denoising Method Based on Sparse Coding Coefficients,” in the 24th International Conference on Multimedia Modeling (MMM 2018), Feb. 2018, pp. 3 -13.
  18. Yiting Shao, Zhaobin ZhangZhu Li, Kui Fan, and Ge Li, “Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform,” in 2017 IEEE Visual Communications and Image Processing (VCIP), USA, 2017, pp. 1 - 4.
  19. Yurui Ren, Ge Li, Zhenqiang Ying, and Xiaoqiang Guo, “A Reduced-Reference Color Distortion Metric for Enhanced Low-light Images,” in 2017 IEEE Visual Communications and Image Processing (VCIP), USA, 2017.
  20. Chunbiao Zhu and Ge Li, “A Three-Pathway Psychobiological Framework of Salient Object Detection Using Stereoscopic Technology,” in 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct. 2017, pp. 3008 - 3014.
  21. Chunbiao Zhu, Thomas H. Li, and Ge Li. “Towards Automatic Wild Animal Detection in Low Quality Camera-trap Images Using Two-channeled Perceiving Residual Pyramid Networks,” in 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct. 2017, pp. 2860 - 2864.
  22. Xianghao Zang, Ge Li, Jun Yang, and Wenmin Wang, “Adaptive difference modelling for background subtraction,” in 2017 IEEE Visual Communications and Image Processing (VCIP), USA, Dec. 2017, pp. 1- 4.
  23. KuiFan, Ronggang Wang, Zhenyu Wang, Ge Li, and Wen Gao, “AVS2: A Fast Intra Encoding Platform for IEEE1857.4,” IEEE Trans. Circuits Syst. Video Technol., vol. 27, no. 12, pp. 2726 - 2738, Dec. 2017.
  24. Chunbiao Zhu, Ge Li, Wenmin Wang, and Ronggang Wang, “An Innovative Salient Object Detection Using Center-Dark Channel Prior,” in 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct. 2017, pp. 1509 - 1515.
  25. Zhenqiang Yin, Ge Li, Wenmin Wang, and Ronggang Wang, “A New Low-Light Image Enhancement Algorithm using Camera Response Model,” in2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Oct. 2017, pp. 3015 - 3022.
  26. Mengdi Fan, Wenmin Wang, Peilei Dong, Liang Han, Ronggang Wang, and Ge Li, “Cross-media retrieval by learning rich semantic embeddings of multimedia,” in Proceedings of the 2017 ACM on Multimedia Conference, Oct. 2017, pp.1698 - 1706.
  27. Jiaxing Zhong, Ge Li, and Nannan Li. “Deep Metric Learning with False Positive Probability:Trade off Hard Levels in a Weighted Way,” in the 24th International Conference on Neural Information Processing 2017, China, pp. 653 - 664, Oct. 2017.
  28. Chunbiao Zhu, Ge Li, and Nannan Li, et al., “An Innovative Saliency Detection Framework with An Example of Image Montage,” in ACM MM workshop 2017, USA, Oct. 2017, pp. 27-34.
  29. Wenhao Zhang, Ge Li, and Zhenqiang Ying, “A New Underwater Image Enhancing Method via Color Correction and Illumination Adjustment,” in 2017 IEEE Visual Communications and Image Processing (VCIP), USA, Sep. 2017, pp. 1- 4.
  30. Yiwei Zhang, Ge Li, and Xiaoqiang Guo, et al., “SPOS: Deblur Image by Using Sparsity Prior and Outlier Suppression,” in Pacific-Rim Conference on Multimedia PCM 2017, Sep. 2017, pp.138 -148.
  31. (32)Zhenqiang Ying, Ge Li, and Yurui Ren, et al., “A New Image Contrast Enhancement Algorithm using Exposure Fusion Framework,” in International Conference on Computer Analysis of Images and Patterns CAIP 2017, Sweden, DOI: 10.1007/978-3-319-64698-5_4, Jul. 2017.
  32. Jingjia Huang, Ge Li, and Nannan Li, et al., “A Violence Detection Approach Based on Spatio-Temporal Hypergraph Transition,” in International Conference on Computer Analysis of Images and Patterns CAIP 2017, Sweden, Jul. 2017, pp. 218 - 229.
  33. Xiaoming Yu, Ge Li, Z. Ying, and Xiaoqiang Guo, “A New Shadow Removal Method Using Color-Lines,” in International Conference on Computer Analysis of Images and Patterns CAIP 2017, Sweden, Jul. 2017.
  34. Chunbiao Zhu, Ge Li, and Xiaoqiang Guo, et al., “A Multilayer Backpropagation Saliency Detection Algorithm Based on Depth Mining,” in International Conference on Computer Analysis of Images and Patterns CAIP 2017, Sweden, pp. 14 - 23, Jul. 2017.
  35. Zhu Chunbiao, Ge Li, Wenming W, and Ronggang W. “Salient Object Detection with Complex Scene based on Cognitive Neuroscience,” in the Third IEEE International Conference on Multimedia Big Data (BigMM 2017), Apr. 2017, pp. 33 - 37.
  36. Ying Zhenqiang, Ge Li, Sixin Wen, and Guozhen Tan, “ORGB: Offset correction in RGB color space for illumination-robust image processing,” in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), USA, Mar. 2017, pp. 1557-1561.
  37. Zhenqiang Yin, Ge Li, Xianghao Zang, Wenmin W, and Ronggang W, “A Novel Shadow-Free Feature Extractor for Real-Time Road Detection,” in Proceedings of the 2016 ACM on Multimedia Conference, 2016, pp. 611 - 615.
  38. Nannan Li, Xu D., Zhenqiang Ying, Zhihao Li, and Ge Li, “Searching Action Proposal via Spatial Actionness Estimation and Temporal Path Inference and Tracking,” in Computer Vision-ACCV 2016-13th Asian Conference on Computer Vision, vol.10112, 2016, pp. 384-399.
  39. Jun Yang, Ge Li, Wenmin Wang, and Ronggang Wang, “An Empirical Study of Deformable Part Model with fast feature pyramid,” in the 23rd International Conference on Pattern Recognition (ICPR), Mexico, 2016, pp. 567 - 572.
  40. Yuwei Zhang, Ge Li, and Xiaoqiang Guo, “A new video denoising method using texture metric and adaptive structure variance,” in 2016 Visual Communications and Image Processing (VCIP), 2016, pp. 1 - 4.
  41. Ying Zhenqiang and Ge Li, “Robust Lane Marking Detection using Boundary-Based Inverse Perspective Mapping,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2016, pp. 1921 - 1925.
  42. Xianghao Zang, Ge Li, Zhihao Li, Nannan Li, and Wenmin Wang, “An Object-aware Anomaly Detection and Localization in Surveillance Videos,” in 2016 IEEE Second International Conference on Multimedia Big Data (BigMM), pp. 113 - 116, 2016.
  43. Xinfeng Zhang, Ruiqin Xiong, Siwei Ma, Ge Li, and Wen Gao, “Video super-resolution with registration-reliability regulation and adaptive total variation,” JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, pp. 181-190, 2015.
  44. Zhenqiang Ying and Ge Li, “An Illumination-Robust Approach for Feature-Based Road Detection,” in 2015 IEEE International Symposium on Multimedia, USA, Dec. 2015, pp. 278-281.
  45. Lei Ding, Ge Li, Ronggang Wang, and Wenmin Wang, “Video pre-processing with JND-based Gaussian filtering of superpixels,” in Proceedings of SPIE-IS&T Electronic Imaging, vol. 9410, 2015.
  46. Zhao Meng, Lili Mou, Ge Li, and Zhi Jin, “Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference,” in Knowledge Science, Engineering and Management(KSEM 2016), Oct. 2016, pp 515 - 526.
  47. Ge Li and Z. Ding, “Semi-blind Channel Identification for Individual Data Bursts in GSM Wireless Systems,” Signal Processing- Elsevier, pp. 2017 - 2031, 2000.
  48. Z. Ding and Ge Li, “Single-Channel Blind Equalization for GSM Cellular Systems,” IEEE Journal on Selected Areas in Communications, pp. 1493 - 1505, 2000.
  49. Ge. Li and Z. Ding, “Blind Linear Equalization for GSM Signals in a Mobile Environment,” in IEEE Wireless Communications and Networking Conference, 1999, pp. 801- 804.
  50. Z. Ding and G. Li, “Feasibility of linear GSM blind channel equalization,” in Proceedings of SBT/IEEE International Telecommunications Symp., vol.1, Aug. 1998, pp. 359 - 364.
  51. Ge Li and Z. Ding, “A Semi-Blind Channel Identification Method for GSM Receivers,” in Proceedings of the 1998 IEEE International Conf. on Acoustics, Speech, and Signal Processing, May 1998, pp. 3389 - 3392.
  52. Z. Ding and Ge Li, “New Methods of Blind Channel Equalization for GSM Systems,” in 31th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, USA, 1997, Vol. 2, pp. 1599 -1603.
  53. Z. Ding and Ge Li, “Linear Blind Channel Equalization for GSM Cellular Systems,” in IEEE International Conf. on Communications (ICC), 1998, pp. 355 - 359.


对计划招收的硕士和博士研究生的基本要求:

1) 专业范围:计算机科学技术、电子工程、通信、自动控制、应用数学和物理等专业本硕毕业生。

2 ) 研究/开发能力:具有合作精神,探索能力和创新精神,愿意按较高标准严格要求自己。