劉宏教授檢視原始碼討論檢視歷史
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劉宏
職稱：教授
電話：
辦公室：
Email：liuh@pkusz.edu.cn
實驗室網站：http://robotics.pkusz.edu.cn
研究方向：1、計算機視覺與智能機器人； 2、機器學習與智能人機交互。
導師與研究領域、方向：
劉宏，工學博士，北京大學教授，博士生導師。國家「萬人計劃」首批科技創新領軍人才，科技部國家重點研發計劃「智能機器人」總體專家組專家，中國人工智能學會副理事長，深圳市第六屆政協委員。
長期從事計算機視覺與智能機器人、機器學習與智能人機交互等領域的教學和科研工作。曾師從蔡鶴皋院士、王選院士、石青雲院士等知名專家。多次赴美國、加拿大、日本和新加坡等國家的多所著名大學和研究機構訪問交流。
先後承擔 20餘項國家級重要科研項目，包括863課題、 973課題、國家重點研發計劃項目、新一代人工智能重大項目和國家自然科學基金重點項目等。已發表學術論文200多篇，近年的研究成果被國內外同行研究機構引用5000餘次，相關成果申報/獲得國家發明專利40餘項。獲國家航天科技進步獎、吳文俊人工智能科學技術獎、日內瓦國際發明博覽會獎、北京大學教學優秀獎、安泰獎和北京大學「十佳教師」 候選人等榮譽。
作為深圳教育界首位國家「萬人計劃」領軍人才，二十多年來劉宏教授專注於所熱愛的人工智能和機器人事業，先後培養了100多名碩士博士研究生和博士後，是我國「智能科學與技術」新學科建設的積極倡導者、智能機器人領域科技創新的潛心實踐者。「十四五」期間劉宏教授的研究特色將聚焦在「機器人視覺感知與自主學習」等領域。
近年承擔的主要科研項目:
國家新一代人工智能重大項目：基於數字孿生的室內服務機器人自主學習與進化關鍵技術 （在研）
國家重點研發計劃項目：面向智能手機製造的柔性機器人自動化生產線研製及示範應用 （在研、 指導）
國家自然科學基金項目：面向混合增強智能運動規劃的機器人位姿空間建模方法（在研）
深圳市基礎研究重點項目：基於情感計算人和機器人交互模型研究 （在研）
深圳市高等院校穩定支持計劃重點項目：面向複雜場景機器人高效作業的混合增強智能 （在研）
國家自然科學基金(聯合基金)重點項目：面向服務機器人的視聽感知融合與多模態人機交互關鍵技術 （已完成）
國家自然科學基金項目：基於麥克風陣列的移動機器人實時聲源定位方法研究（已完成）
國家自然科學基金項目：人機互動環境下機器人實時運動規劃研究（已完成）
國家自然科學基金項目：面向人體目標實時跟蹤的視覺注意轉移機制研究（已完成）
國家863課題：面向HRI的機器人視聽覺注意機制及運動規劃技術（已完成）
國家863課題：基於多源信息融合的交通事件自動檢測技術（已完成）
科技部創新人才推進計劃：面向複雜場景人機交互的嵌入式仿生視覺技術（已完成）
教育部博士點基金課題：面向顯著事件主動感知的仿生立體視覺研究（已完成）
廣東省重大產業攻關項目：新一代家用服務機器人關鍵技術突破及集成應用示範（已完成）
深圳市「創新鏈-產業鏈」雙鏈融合重大產業化項目：智能電視生產流水線的視覺檢測和定位方法 （已完成）
深圳市戰略新興產業項目：網絡環境下智能監控系統公共技術平台（已完成）
深圳市戰略新興產業項目：物聯網智能感知技術工程實驗室（已完成）
深圳市基礎研究重點項目：面向複雜場景人機交互的仿生視覺技術與系統（已完成）
近年發表的主要學術論文:
[1] Wenhao Li, Hong Liu(劉宏), Runwei Ding, Mengyuan Liu, Pichao Wang and Wenming Yang. Exploiting temporal contexts with strided transformer for 3d human pose estimation. IEEE Transactions on Multimedia(TMM). Accepted in 2022.（多媒體領域頂級國際學術期刊）
[2] Wei Shi, Hong Liu(劉宏), and Mengyuan Liu. Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning. Pattern Recognition(PR), 2022, 122: 108314.（模式識別領域頂級國際學術期刊）
[3] Weibo Huang and Hong Liu(劉宏). A robust pixel-aware gyro-aided KLT feature tracker for large camera motions. IEEE Transactions on Instrumentation and Measurement(TIM), 2022, 71: 1-14. (機器智能領域重要國際學術期刊)
[4] Bing Yang, Hong Liu(劉宏), and Xiaofei Li. Learning deep direct-path relative transfer function for binaural sound source localization. IEEE/ACM Transactions on Audio, Speech, and Language Processing(TASLP), 2021, 29: 3491-3503.（機器聽覺領域頂級國際學術期刊）
[5] Meijia Song, Hong Liu(劉宏), Wei Shi, and Xia Li. PCLoss: Fashion Landmark Estimation with Position Constraint Loss. Pattern Recognition(PR), 2021, 118: 108028.（模式識別領域頂級國際學術期刊）
[6] Hao Tang, Hong Liu(劉宏), Dan Xu, Philip HS Torr, and Nicu Sebe. Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks. IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2021, 1-16.（人工智能領域頂級國際學術期刊）
[7] Hanrong Ye, Hong Liu(劉宏), Fanyang Meng, and Xia Li. Bi-Directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification. IEEE Transactions on Image Processing(TIP), 2021, 30:1583-1595. （人工智能領域頂級國際學術期刊）
[8] Hao Tang, Hong Liu(劉宏), Wei Xiao, and Nicu Sebe. When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data. IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2021, 32(5): 2129-2141.（人工智能領域頂級國際學術期刊）
[9] Weibo Huang, Hong Liu(劉宏), and Weiwei Wan. An Online Initialization and Self-Calibration Method for Stereo Visual-Inertial Odometry. IEEE Transactions on Robotics(TRO), 2020, 36(4): 1153-1170.（機器人領域頂級國際學術期刊）
[10] Jie Wen, Yong Xu, and Hong Liu(劉宏). Incomplete Multiview Spectral Clustering With Adaptive Graph Learning. IEEE Transactions on Cybernetics(TCYB), 2020, 50(4): 1418-1429.（人工智能領域頂級國際學術期刊）
[11] Hao Tang, Hong Liu(劉宏), and Nicu Sebe. Unified Generative Adversarial Networks for Controllable Image-to-Image Translation. IEEE Transactions on Image Processing(TIP), 2020, 29: 8916-8929.（人工智能領域頂級國際學術期刊）
[12] Hanrong Ye, Hong Liu(劉宏), Fanyang Meng and Xia Li. Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification. IEEE Transactions on Image Processing(TIP), 2020, 30: 1583-1595.（人工智能領域頂級國際學術期刊）
[13] Jiayao Ma, Weiwei Wan, Kensuke Harada, Qiuguo Zhu, and Hong Liu(劉宏). Regrasp Planning Using Stable Object Poses Supported by Complex Structures. IEEE Transactions on Cognitive and Developmental Systems(TCDS), 2019, 11(2): 257-269.（人工智能領域重要國際學術期刊）
[14] Bing Yang, Hong Liu(劉宏), Cheng Pang and Xiaofei Li. Multiple Sound Source Counting and Localization Based on TF-Wise Spatial Spectrum Clustering. IEEE/ACM Transactions on Audio, Speech and Language Processing(TASLP), 2019, 27(8):1241-1255.（機器聽覺領域頂級國際學術期刊）
[15] Fanyang Meng, Hong Liu(劉宏), Yongsheng Liang, Juanhui Tu and Mengyuan Liu. Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-based Human Action Recognition. IEEE Transactions on Image Processing(TIP), 2019, 28(11): 5281-5295.（人工智能領域頂級國際學術期刊）
[16] Mengyuan Liu, Hong Liu(劉宏), and Chen Chen, 3D action recognition using multi-scale energy-based global ternary image, Accepted by IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 28(8): 1824-1838 (2018) （多媒體領域頂級國際學術期刊）
[17] Mengyuan Liu, Hong Liu(劉宏), Chen Chen, Robust 3D Action Recognition Through Sampling Local Appearances and Global Distributions. IEEE Transaction on Multimedia(TMM) 20(8): 1932-1947 (2018) （多媒體領域頂級國際學術期刊）
[18] Chen Pang, Hong Liu(劉宏), Jie Zhang, Binaural Sound Localization Based on Reverberation Weighting and Generalized Parametric Mapping, Accepted by IEEE Transaction on Audio, Speech and Language Processing(TASLP) VOL.25:1618-1632, 2017（機器聽覺領域頂級國際學術期刊）
[19] Pingping Wu, Hong Liu, Chao Xu, Yuan Gao, Zheyuan Li, Xuewu Zhang, How do you smile? Towards a comprehensive smile analysis system. Neurocomputing 235: 245-254 (2017) （人工智能領域重要國際學術期刊）
[20] Mengyuan Liu, Hong Liu(劉宏), and Chen Chen, Enhanced skeleton visualization for view invariant human action recognition, Pattern Recognition(PR) 68: 346-362 (2017)（模式識別領域頂級國際學術期刊）
[21] Qianru Su, Hong Liu(劉宏), Tatsuya Harada, Online Growing Neural Gas for Anomaly Detection in Changing Surveillance Scenes, Pattern Recognition(PR) 64: 187-201, 2017.（模式識別領域頂級國際學術期刊）
[22] Pingping Wu, Hong Liu (劉宏), Xiaofei Li, A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion, IEEE Transactions on Multimedia (TMM). vol.18(3): 326-338, 2016. （多媒體領域頂級國際學術期刊）
[23] Qianru Sun, Hong Liu, Liqian Ma, Tianwei Zhang, A novel hierarchical Bag-of-Words model for compact action representation. Neurocomputing 174: 722-732, 2016. （人工智能領域重要國際學術期刊）
[24] Yuan Gao, Hong Liu(劉宏), Pingping Wu P. A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios. Neurocomputing. vol.174: 1077-1086, 2016. （人工智能領域重要國際學術期刊）
[25] Mengyuan Liu, Hong Liu(劉宏), Depth Context: a new descriptor for human activity recognition by using sole depth sequences. Neurocomputing. vol.175: 747-758, 2016. （人工智能領域重要國際學術期刊）
[26] Qianru Sun Q, Hong Liu(劉宏), Liqian Ma, A novel hierarchical Bag-of-Words model for compact action representation. Neurocomputing. vol.174: 722-732, 2016. （人工智能領域重要國際學術期刊）
[27] Jie Zhang, Hong Liu (劉宏), Robust Acoustic Localization Via Time-Delay Compensation and Interaural Matching Filter, IEEE Transactions on Signal Processing(TSP), vol.63, no.18, pp. 4771-4783, 2015. （多媒體信號處理領域頂級國際學術期刊）
[28] Qianru Sun, Hong Liu(劉宏), Mengyuan Liu, Human activity prediction by mapping grouplets to recurrent Self-Organizing Map. Neurocomputing, vol.177: 427-440, 2015. （人工智能領域重要國際學術期刊）
[29] Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, and Luc Van Gool. MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (計算機視覺領域頂級國際學術會議)
[30] Tianyu Guo, Hong Liu(劉宏), Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding. Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition. Accepted by Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022. （人工智能領域頂級國際學術會議）
[31] Tao Wang, Hong Liu(劉宏), Pinhao Song, Tianyu Guo, Wei Shi. Pose-guided Feature Disentangling for Occluded Person Re-identification based on Transformer. Accepted by Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.（人工智能領域頂級國際學術會議）
[32] Yidi Li, Hong Liu(劉宏), Hao Tang. Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. Accepted by Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022.（人工智能領域頂級國際學術會議）
[33] Zhan Chen, Sicheng Li, Bing Yang, Qinghan Li, and Hong Liu(劉宏). Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021, 35(2): 1113-1122.（人工智能領域頂級國際學術會議）
[34] Wanlu Xu, Hong Liu(劉宏), Wei Shi, Ziling Miao, Zhisheng Lu, and Feihu Chen, Adversarial Feature Disentanglement for Long-Term Person Re-identification, International Joint Conference on Artificial Intelligence (IJCAI), 2021.（人工智能領域頂級國際學術會議）
[35] Ziling Miao, Hong Liu(劉宏), Wei Shi, Wanlu Xu, and Hanrong Ye, Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2021: 19-27.（人工智能領域頂級國際學術會議）
[36] Peng Wei, Guoliang Hua, Weibo Huang, Hong Liu(劉宏). Unsupervised Monocular Visual-inertial Odometry Network, International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2020: 2347-2354.（人工智能領域頂級國際學術會議）
[37] Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, and Hong Liu(劉宏). Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019, 33(01): 5393-5400.（人工智能領域頂級國際學術會議）
[38] Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu(劉宏). Expectation-maximization attention networks for semantic segmentation, International Conference in Computer Vision (ICCV), 2019: 9167-9176.(計算機視覺領域頂級國際學術會議)
[39] Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu(劉宏), Hongbin Zha. Recurrent squeeze-and-excitation context aggregation net for single image deraining, European Conference on Computer Vision (ECCV), 2018: 254-269.(計算機視覺領域頂級國際學術會議)
[40] Weibo Huang, Hong Liu(劉宏). Online initialization and automatic camera-IMU extrinsic calibration for monocular visual-inertial SLAM, International Conference on Robotics and Automation (ICRA), 2018: 5182-5189.(智能機器人領域頂級國際學術會議)
[41] Dan Xu, Wei Wang, Hao Tang, Hong Liu(劉宏), Nicu Sebe, Elisa Ricci. Structured attention guided convolutional neural fields for monocular depth estimation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018: 3917-3925.(計算機視覺領域頂級國際學術會議)
[42] Hao Tang, Hong Liu(劉宏), Wei Xiao, A Novel Feature Matching Strategy for Large Scale Image Retrieval, International Joint Conference on Artificial Intelligence (IJCAI), 2016: 2053-2059. （人工智能領域頂級國際學術會議）
[43] Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, and Hong Liu(劉宏). 3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector, International Joint Conference on Artificial Intelligence (IJCAI), 2016: 3331-3337（人工智能領域頂級國際學術會議）
[44] Hong Liu(劉宏), Mengdi Yue, and Jie Zhang. Probabilistic Binaural Multiple Sources Localization Based on Time-delay Compensation Estimator Clustering Analysis, IEEE International Conference on Intelligent Robots and Systems (IROS), 2016: 4537-4544. （智能機器人領域重要國際學術會議）
[45] Hong Liu(劉宏), Fang Xiao and Can Wang. A predictive model for narrow passage path planner by using Support Vector Machine in changing environments, IEEE International Conference on Robotics and Automation (ICRA), 2015: 2991-2996.(智能機器人領域頂級國際學術會議)
[46] Hong Liu(劉宏), Cheng Pang and Jie Zhang. Binaural sound source localization based on generalized parametric model and two-layer matching strategy in complex environments, IEEE International Conference on Robotics and Automation (ICRA), 2015: 4496-4503.(智能機器人領域頂級國際學術會議) [1]