Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit T Zhou, X Lin, J Wu, Y Chen, H Xie, Y Li, J Fan, H Wu, L Fang, Q Dai Nature Photonics 15 (5), 367-373, 2021 | 526 | 2021 |
Surfacenet: An end-to-end 3d neural network for multiview stereopsis M Ji, J Gall, H Zheng, Y Liu, L Fang Proceedings of the IEEE international conference on computer vision, 2307-2315, 2017 | 469 | 2017 |
Fourier-space diffractive deep neural network T Yan, J Wu, T Zhou, H Xie, F Xu, J Fan, L Fang, X Lin, Q Dai Physical review letters 123 (2), 023901, 2019 | 315 | 2019 |
Occuseg: Occupancy-aware 3d instance segmentation L Han, T Zheng, L Xu, L Fang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 283 | 2020 |
Crossnet: An end-to-end reference-based super resolution network using cross-scale warping H Zheng, M Ji, H Wang, Y Liu, L Fang Proceedings of the European conference on computer vision (ECCV), 88-104, 2018 | 253 | 2018 |
Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale J Wu, Z Lu, D Jiang, Y Guo, H Qiao, Y Zhang, T Zhu, Y Cai, X Zhang, ... Cell 184 (12), 3318-3332. e17, 2021 | 174 | 2021 |
In situ optical backpropagation training of diffractive optical neural networks T Zhou, L Fang, T Yan, J Wu, Y Li, J Fan, H Wu, X Lin, Q Dai Photonics Research 8 (6), 940-953, 2020 | 166 | 2020 |
Light field reconstruction using convolutional network on EPI and extended applications G Wu, Y Liu, L Fang, Q Dai, T Chai IEEE transactions on pattern analysis and machine intelligence 41 (7), 1681-1694, 2018 | 139 | 2018 |
Deep learning for surface material classification using haptic and visual information H Zheng, L Fang, M Ji, M Strese, Y Özer, E Steinbach IEEE Transactions on Multimedia 18 (12), 2407-2416, 2016 | 136 | 2016 |
Eventcap: Monocular 3d capture of high-speed human motions using an event camera L Xu, W Xu, V Golyanik, M Habermann, L Fang, C Theobalt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 111 | 2020 |
Hybridfusion: Real-time performance capture using a single depth sensor and sparse imus Z Zheng, T Yu, H Li, K Guo, Q Dai, L Fang, Y Liu Proceedings of the European Conference on Computer Vision (ECCV), 384-400, 2018 | 111 | 2018 |
Reinforcing neuron extraction and spike inference in calcium imaging using deep self-supervised denoising X Li, G Zhang, J Wu, Y Zhang, Z Zhao, X Lin, H Qiao, H Xie, H Wang, ... Nature methods 18 (11), 1395-1400, 2021 | 110 | 2021 |
From brain science to artificial intelligence J Fan, L Fang, J Wu, Y Guo, Q Dai Engineering 6 (3), 248-252, 2020 | 104 | 2020 |
All-analog photoelectronic chip for high-speed vision tasks Y Chen, M Nazhamaiti, H Xu, Y Meng, T Zhou, G Li, J Fan, Q Wei, J Wu, ... Nature 623 (7985), 48-57, 2023 | 100 | 2023 |
A2-FPN: Attention aggregation based feature pyramid network for instance segmentation M Hu, Y Li, L Fang, S Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
Panda: A gigapixel-level human-centric video dataset X Wang, X Zhang, Y Zhu, Y Guo, X Yuan, L Xiang, Z Wang, G Ding, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 99 | 2020 |
Robustfusion: Human volumetric capture with data-driven visual cues using a rgbd camera Z Su, L Xu, Z Zheng, T Yu, Y Liu, L Fang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 98 | 2020 |
An integrated imaging sensor for aberration-corrected 3D photography J Wu, Y Guo, C Deng, A Zhang, H Qiao, Z Lu, J Xie, L Fang, Q Dai Nature 612 (7938), 62-71, 2022 | 91 | 2022 |
Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit X Li, Y Li, Y Zhou, J Wu, Z Zhao, J Fan, F Deng, Z Wu, G Xiao, J He, ... Nature Biotechnology 41 (2), 282-292, 2023 | 90 | 2023 |
Analog optical computing for artificial intelligence J Wu, X Lin, Y Guo, J Liu, L Fang, S Jiao, Q Dai Engineering 10, 133-145, 2022 | 89 | 2022 |