| Visevent: Reliable object tracking via collaboration of frame and event flows X Wang, J Li, L Zhu, Z Zhang, Z Chen, X Li, Y Wang, Y Tian, F Wu IEEE Transactions on Cybernetics, 2023 | 116 | 2023 |
| Event-based video reconstruction via potential-assisted spiking neural network L Zhu, X Wang, Y Chang, J Li, T Huang, Y Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 109 | 2022 |
| Asynchronous spatio-temporal memory network for continuous event-based object detection J Li, J Li, L Zhu, X Xiang, T Huang, Y Tian IEEE Transactions on Image Processing 31, 2975-2987, 2022 | 100 | 2022 |
| Retina-like visual image reconstruction via spiking neural model L Zhu, S Dong, J Li, T Huang, Y Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 97 | 2020 |
| 1000× faster camera and machine vision with ordinary devices T Huang, Y Zheng, Z Yu, R Chen, Y Li, R Xiong, L Ma, J Zhao, S Dong, ... Engineering 25, 110-119, 2023 | 81 | 2023 |
| Deep directly-trained spiking neural networks for object detection Q Su, Y Chou, Y Hu, J Li, S Mei, Z Zhang, G Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 79 | 2023 |
| Event-based vision enhanced: A joint detection framework in autonomous driving J Li, S Dong, Z Yu, Y Tian, T Huang 2019 ieee international conference on multimedia and expo (icme), 1396-1401, 2019 | 77 | 2019 |
| Neuspike-net: High speed video reconstruction via bio-inspired neuromorphic cameras L Zhu, J Li, X Wang, T Huang, Y Tian Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 53 | 2021 |
| Multi-scale temporal cues learning for video person re-identification J Li, S Zhang, T Huang IEEE Transactions on Image Processing 29, 4461-4473, 2020 | 52 | 2020 |
| Learning super-resolution reconstruction for high temporal resolution spike stream X Xiang, L Zhu, J Li, Y Wang, T Huang, Y Tian IEEE Transactions on Circuits and Systems for Video Technology 33 (1), 16-29, 2021 | 35 | 2021 |
| Sodformer: Streaming object detection with transformer using events and frames D Li, J Li*, Y Tian* IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 25 | 2023 |
| Ultra-high temporal resolution visual reconstruction from a fovea-like spike camera via spiking neuron model L Zhu, S Dong, J Li, T Huang, Y Tian IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 1233-1249, 2022 | 25 | 2022 |
| Dim moving target tracking algorithm based on particle discriminative sparse representation Z Li, J Li, F Ge, W Shao, B Liu, G Jin Infrared Physics & Technology 75, 100-106, 2016 | 22 | 2016 |
| Learning stereo depth estimation with bio-inspired spike cameras Y Wang, J Li, L Zhu, X Xiang, T Huang, Y Tian 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | 20 | 2022 |
| Retinomorphic object detection in asynchronous visual streams J Li, X Wang, L Zhu, J Li, T Huang, Y Tian Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1332-1340, 2022 | 20 | 2022 |
| Recent advances in neuromorphic vision sensors: A survey JN Li, YH Tian Chinese Journal of Computers 44 (6), 1258-1286, 2021 | 20 | 2021 |
| Intelligent tobacco flue-curing method based on leaf texture feature analysis L Wang, B Cheng, Z Li, T Liu, J Li Optik 150, 117-130, 2017 | 20 | 2017 |
| Event-based monocular dense depth estimation with recurrent transformers X Liu, J Li, X Fan, Y Tian arXiv preprint arXiv:2212.02791, 2022 | 12 | 2022 |
| Asynchronous spatiotemporal spike metric for event cameras J Li, Y Fu, S Dong, Z Yu, T Huang, Y Tian IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1742-1753, 2021 | 12 | 2021 |
| Retinomorphic sensing: A novel paradigm for future multimedia computing Z Kang, J Li, L Zhu, Y Tian Proceedings of the 29th ACM International Conference on Multimedia, 144-152, 2021 | 10 | 2021 |
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE FellowBestätigte E-Mail-Adresse bei pku.edu.cn
