[56] Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tiejun Huang, and Yonghong Tian. Learning superresolution reconstruction for high temporal resolution spike stream. IEEE Transactions on Circuits and Systems for Video Technology, 2021.
[57] Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, and Jianzhuang Liu. Motion deblurring with real events. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 2583-2592, 2021.
[58] Li Xu, Shicheng Zheng, and Jiaya Jia. Unnatural 10 sparse representation for natural image deblurring. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1107-1114, 2013.
[59] Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang. Restormer: Efficient transformer for high-resolution image restoration. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2022.
[60] Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao. Learning enriched features for real image restoration and enhancement. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXV 16, pages 492-511. Springer, 2020.
[61] Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao. Multi-stage progressive image restoration. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14821-14831, 2021.
[62] Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, and Tiejun Huang. Spike transformer: Monocular depth estimation for spiking camera. In Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII, pages 34-52. Springer, 2022.
[63] Xiang Zhang and Lei Yu. Unifying motion deblurring and frame interpolation with events. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 17765-17774, 2022.
[64] Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, and Tiejun Huang. Super resolve dynamic scene from continuous spike streams. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 2533-2542, 2021.
[65] Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, and Tiejun Huang. Spk2imgnet: Learning to reconstruct dynamic scene from continuous spike stream. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11996-12005, 2021.
[66] Junwei Zhao, Shiliang Zhang, Zhaofei Yu, and Tiejun Huang. Spireco: Fast and efficient recognition of high-speed moving objects with spike cameras. IEEE Transactions on Circuits and Systems for Video Technology, pages 1-1, 2023.
[67] Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan, and Tiejun Huang. Learning optical flow from continuous spike streams. Advances in Neural Information Processing Systems, 35:7905-7920, 2022.
[68] Yajing Zheng, Zhaofei Yu, Song Wang, and Tiejun Huang. Spike-based motion estimation for object tracking through bio-inspired unsupervised learning. IEEE Transactions on Image Processing, 32:335-349, 2023.
[69] Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, and Tiejun Huang. High-speed image reconstruction through short-term plasticity for spiking cameras. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6358-6367, 2021.
[70] Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, and Imari Sato. Blur interpolation transformer for real-world motion from blur. arXiv preprint arXiv:2211.11423, 2022.
[71] Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, and Imari Sato. Animation from blur: Multi-modal blur decomposition with motion guidance. In Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIX, pages 599-615. Springer, 2022.
[72] Lin Zhu, Siwei Dong, Tiejun Huang, and Yonghong Tian. A retina-inspired sampling method for visual texture reconstruction. In 2019 IEEE International Conference on Multimedia and Expo (ICME), pages 1432-1437. IEEE, 2019.
[73] Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, and Yonghong Tian. Retina-like visual image reconstruction via spiking neural model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 1438-1446, 2020.