| Spatio-temporal recurrent networks for event-based optical flow estimation Z Ding, R Zhao, J Zhang, T Gao, R Xiong, Z Yu, T Huang Proceedings of the AAAI conference on artificial intelligence 36 (1), 525-533, 2022 | 54 | 2022 |
| Spike transformer: Monocular depth estimation for spiking camera J Zhang, L Tang, Z Yu, J Lu, T Huang European Conference on Computer Vision, 34-52, 2022 | 41 | 2022 |
| Decoding pixel-level image features from two-photon calcium signals of macaque visual cortex Y Zhang, T Bu, J Zhang, S Tang, Z Yu, JK Liu, T Huang Neural Computation 34 (6), 1369-1397, 2022 | 14 | 2022 |
| Learning temporal-ordered representation for spike streams based on discrete wavelet transforms J Zhang, S Jia, Z Yu, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 137-147, 2023 | 11 | 2023 |
| Enhancing motion deblurring in high-speed scenes with spike streams S Chen, J Zhang, Y Zheng, T Huang, Z Yu Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Unsupervised optical flow estimation with dynamic timing representation for spike camera L Xia, Z Ding, R Zhao, J Zhang, L Ma, Z Yu, T Huang, R Xiong Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| SpikeCV: Open a Continuous Computer Vision Era Y Zheng, J Zhang, R Zhao, J Ding, S Chen, R Xiong, Z Yu, T Huang arXiv preprint arXiv:2303.11684, 2023 | 4 | 2023 |
| Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera J Zhang, S Chen, Y Zheng, Z Yu, T Huang Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 637-645, 2024 | 3* | 2024 |
| Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios S Chen, J Zhang, Z Yu, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3* | 2024 |
| Uncertainty guided depth fusion for spike camera J Li, J Liu, X Wei, J Zhang, M Lu, L Ma, L Du, T Huang, S Zhang arXiv preprint arXiv:2208.12653, 2022 | 2 | 2022 |
| Accelerating training of deep spiking neural networks with parameter initialization J Ding, J Zhang, Z Yu, T Huang | 2 | 2022 |
| SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion J Zhang, K Chen, S Chen, Y Zheng, T Huang, Z Yu arXiv preprint arXiv:2407.10062, 2024 | | 2024 |
| SpikeMM: Flexi-Magnification of High-Speed Micro-Motions B Zhang, Y Zheng, S Chen, J Zhang, K Chen, Z Yu, T Huang arXiv preprint arXiv:2406.00383, 2024 | | 2024 |
| Spike-Based Vision for Autonomous Driving Scenarios J Zhang, Y Zheng, Z Yu, T Huang Strategic Study of Chinese Academy of Engineering 26 (1), 160-177, 2024 | | 2024 |
| SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams K Chen, S Chen, J Zhang, B Zhang, Y Zheng, T Huang, Z Yu arXiv preprint arXiv:2403.09486, 2024 | | 2024 |
| Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment J Zhang, S Chen, Y Zheng, Z Yu, T Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Supplementary Materials: Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment J Zhang, S Chen, Y Zheng, Z Yu, T Huang Image 31, 0.902, 0 | | |
| Supplementary Material for Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams S Chen, J Zhang, Y Zheng, T Huang, Z Yu | | |
Tiejun HuangProfessor,School of EE&CS, Peking UniversityVerified email at pku.edu.cn
