师资队伍
教师队伍
季向阳

教授

博士生导师

脑与认知科学研究所 所长

电话: 010-62792481
地点:北京清华大学自动化系中央主楼


教育背景


1999年、2001年 分别获哈尔滨工业大学工学学士、硕士学位

2008年 中科院计算技术研究所工学博士学位


工作履历


2008年6月至2010年2月 清华大学自动化系 博士后

2010年3月至2011年11月 清华大学自动化系 讲师

2012年12月至2014年11月 清华大学自动化系 副教授

2013年12月至2014年12月 普林斯顿大学 访问学者

2014年12月至今 清华大学自动化系 教授


学术兼职


中国人工智能学会深度学习专委会主任
中国电子学会青年工作委员会主任
Journal of Computer Science and Technology青年编委
IEEE Transactions on Cybernetics编委


研究领域


机器学习

视觉信息获取与处理


研究概况


视频编码,国家杰出青年科学基金项目,2014年1月至2017年12月

编码摄像理论与方法研究,国家自然科学基金重点国际合作研究项目,2017年1月至2021年12月

大数据驱动的类人智能感知与情感交互关键技术,国家重点研发计划项目,2017年10月至2021年9月
视觉目标自主学习技术研究与应用验证,北京市科学技术委员会项目,2018年1月至2019年12月
散射场景编码摄像仪器,国家基金委项目,2019年1月-2023年12月


奖励与荣誉


2019年 国家科学技术进步奖二等奖,排名第1
2018年 中国电子学会科学技术奖(技术发明类)一等奖,排名第1

2016年 第二批国家“万人计划”领军人才

2014年 中国青年科技奖

2014年 中国青年科技创新领军人才

2013年 国家杰出青年科学基金

2013年 IEEE Outstanding Contributions IEEE Std 1875TM

2012年 国家技术发明一等奖,排名第2

2010年 国家科学技术进步二等奖,排名第2

2009年 中国计算机学会优秀博士学位论文

2009年 清华大学优秀博士后

2009年 中科院优秀博士论文


学术成果


发表论文:

[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]. 季向阳, “编码摄像”, 光学学报,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.

 

研究生课程:
机器学习基础
本科生课程:
数字视频基础与应用