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                師資隊伍
                季向陽

                教授

                博士生導師

                腦與ㄨ認知科學研究所 所長

                電話: 010-62792481
                地點:北京清杨家俊笑着说道華大學自動化系√□ 中央主樓


                教育背景


                1999年、2001年 分別獲哈爾濱工業大學工學學士、碩士學位

                2008年 中科院計算技術●研究所工學博士學位


                工作履歷


                2008年6月至2010年2月 清華大學自動化系 博士後

                2010年3月至2011年11月 清華大學自動化系 講師

                2012年12月至2014年11月 清華大學自動化系 副教授

                2013年12月至2014年12月 普林斯頓大學▓ 訪問學者

                2014年12月至今 清華大學自動化系 教授


                學術兼職


                中國人工智能學會深▼度學習專委會主任
                中國電子學會青实话年工作委員會主任
                Journal of Computer Science and Technology青年編委
                IEEE Transactions on Cybernetics編委


                研究領域


                機器學習

                視覺信㊣息獲取與處理


                研究概況


                視頻編碼,國家傑出№青年科學基金項目,2014年1月至2017年12月

                編碼攝像理論與方法研究,國家自然科學基金重點國際合作⊙研究項目,2017年1月至2021年12月

                大數據驅動的類人智能感知與情感交互關鍵技術,國家重空手套白狼點研發計劃項目,2017年10月至2021年9月
                視覺目◣標自主學習技術研究與應用驗證,北京市科學技術委員會項目,2018年1月至2019年12月
                散射場景編碼攝像儀器,國家基金委項△目,2019年1月-2023年12月


                獎勵與榮表情譽


                2019年 國家科學技術進步獎二等獎,排名第1
                2018年 中國電子學會科學技術獎(技術發明類)一等獎,排名第1

                2016年 第二批國家“萬人計劃”領軍人才

                2014年 中國青年科技獎

                2014年 中國青年科技創新領軍人才

                2013年 國家傑出青年科學基金↘

                2013年 IEEE Outstanding Contributions IEEE Std 1875TM

                2012年 國家技術發明一样子等獎,排名第2

                2010年 國家科學技術進步Ψ 二等獎,排名第2

                2009年 中國計算機學會優秀博士學位論文

                2009年 清華大學優秀博士後

                2009年 中科院優秀博士論文


                學術成果


                發表論文:

                [1]. Yan Di, Henrique Morimitsu, Zhiqiang Lou, Xiangyang Ji “ A Unified Framework for Piecewise Semantic Reconstruction in Dynamic Scenes via Exploiting Superpixel Relations”, International Conference on Robotics and Automation (ICRA), 2020.
                [2]. Zhigang Li, Xiangyang Ji, “ Pose-guided Auto-Encoder and Feature-Based Refinement for 6-DoF Object Pose Regression ”,  International Conference on Robotics and Automation (ICRA), 2020.
                [3]. Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji, “ PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
                [4]. 季向陽, “編碼攝像”, 光學學報,2020.
                [5]. Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, “Self6D: Self-Supervised Monocular 6D Object Pose Estimation”,  European Conference on Computer Vision (ECCV),2020.
                [6]. Yongbing Zhang, Lixin Chen, Chenggang Yan, Peiwu Qin, Xiangyang Ji, Qionghai Dai, “Weighted Convolutional Motion-Compensated Frame Rate Up-Conversion Using Deep Residual Network”, IEEE Transactions on Circuits and Systems for Video Technology,2020.
                [7]. Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai, “Color-Guided Depth Image Recovery with Adaptive Data Fidelity and Transferred Graph Laplacian Regularization”, IEEE Transactions on Circuits and Systems for Video Technology,2020.
                [8]. Yi Li, Gu Wang, Xiangyang  Ji, Yu  Xiang, Dieter Fox, “ DeepIM: Deep Iterative Matching for 6D Pose Estimation”, International Journal of Computer Vision, 2019.
                [9]. Pengfei Wan, Jiexiang Tan, Xiaocong Lian, Xiangyang Ji, “ High Bit-Depth Image Acquisition Framework Using Embedded Quantization Bias”, IEEE Transactions on Circuits and Systems for Video Technology , 2019.
                [10]. Wei Zhang, Yimeng Li, Weizhi Lu, Xinshun Xu, Zhaowei Liu, Xiangyang Ji, “Learning Intra-Video Difference for Person Re-Identification”, IEEE Transactions on Computational Imaging, 2019.
                [11]. Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao, “ Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds”,  IEEE Transactions on Image Processing, 2019.
                [12]. Xiaocong Lian, Zhenyu Liu, Zhourui Song, Jiwu Dai, Wei Zhou, Xiangyang Ji, “ High-Performance FPGA-Based CNN Accelerator With Block-Floating-Point Arithmetic.”,  IEEE Transactions on Very Large Scale Integration (VLSI) Systems ,2019.
                [13]. Zhenyu Liu, Libo Wang, Xiaobo Li, Xiangyang Ji, “Optimize x265 Rate Control: An Exploration of Lookahead in Frame Bit Allocation and Slice Type Decision”, IEEE Transactions on Image Processing, 2019.
                [14]. Yongbing Zhang, Yulun Zhang, Jian Zhang, Dong Xu, Yun Fu, Yisen Wang, Xiangyang Ji, Qionghai Dai, “Collaborative Representation Cascade for Single-Image Super-Resolution”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
                [15]. Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye, “C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection”,  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
                [16]. Zihan Zhang, Xiangyang Ji, “Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function”, NeurIPS(NIPS),2019.
                [17]. Zhigang Li , Gu Wang , Xiangyang Ji, “ CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation”,  IEEE/CVF International Conference on Computer Vision (ICCV),2019.
                [18]. Di Yan , Henrique Morimitsu , Shan Gao , Xiangyang Ji, “ Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations”, IEEE/CVF International Conference on Computer Vision (ICCV),2019.
                [19]. Zhigang Li , Yuwang Wang , Xiangyang Ji, “ Monocular Viewpoints Estimation for Generic Objects in the Wild”, IEEE Access ,2019.
                [20]. Haolan Xue , Chang Liu , Fang Wan , Jianbin Jiao , Xiangyang Ji , Qixiang Ye, “DANet: Divergent Activation for Weakly Supervised Object Localization”, IEEE/CVF International Conference on Computer Vision (ICCV),2019.
                [21]. Xiangyang Ji , Guanwen Zhang , Xiaogang Chen , Qi Guo, “Multi-Perspective Tracking for Intelligent Vehicle”, IEEE Transactions on Intelligent Transportation Systems, 2018.
                [22]. Yi Li, Gu Wang, Xiangyang Ji, Yu  Xiang, Dieter Fox ,“ DeepIM: Deep Iterative Matching for 6D Pose Estimation”, European Conference on Computer Vision (ECCV), 2018.
                [23]. Yu Di, Xiangyang Ji, “ Finite-time containment control of perturbed multi-agent systems based on sliding-mode control ”,  International Journal of Systems Science, 2018.
                [24]. Jialin Wu, Dai Li, Yu Yang, Bajaj, C., Xiangyang Ji,  “ Dynamic Filtering with Large Sampling Field for ConvNets ”, European Conference on Computer Vision (ECCV),2018.
                [25]. Wukui Yang, Shan Gao, Wenran Liu, Xiangyang Ji, “3-Stream Convolutional Networks for Video Action Recognition with Hybrid Motion Field”,  IEEEInternational Workshop on Multimedia Signal Processing (MMSP),2018.
                [26]. Jialin Wu ,Yu Yang , He Jiang, Yi Li, Guijin Wang , Xiangyang Ji, “ Action Recognition and Localization with Instance FCNN”,  IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR),2018.
                [27]. Xiangyang ji, Changlong Miao, Yongbing Zhang, Xing Lin, Qionghai Dai, “ Separating reflective and fluorescent components for dynamic scenes”, Optics Communications, 2017.
                [28]. Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Dongsheng Wang, “Fully Convolutional Instance-Aware Semantic Segmentation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
                [29]. Xiangyang Ji, Qifei Wang, Bo-Wei Chen, Seungmin Rho, C.C.Jay Kuo, Qionghai Dai, “Online distribution and interaction of video data in social multimedia network”, Multimedia Tools and Applications, 2016.

                 

                研究生課程:
                機器學習基礎
                本科生課程:
                數字視頻基礎與應用