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
