Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
An analytical model for synthesis distortion estimation in 3D video
L Fang, NM Cheung, D Tian, A Vetro, H Sun, OC Au
IEEE Transactions on Image Processing 23 (1), 185-199, 2013
Flycap: Markerless motion capture using multiple autonomous flying cameras
L Xu, Y Liu, W Cheng, K Guo, G Zhou, Q Dai, L Fang
IEEE transactions on visualization and computer graphics 24 (8), 2284-2297, 2017
Guidance: A visual sensing platform for robotic applications
G Zhou, L Fang, K Tang, H Zhang, K Wang, K Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
From brain science to artificial intelligence
J Fan, L Fang, J Wu, Y Guo, Q Dai
Engineering 6 (3), 248-252, 2020
Unstructuredfusion: realtime 4d geometry and texture reconstruction using commercial rgbd cameras
L Xu, Z Su, L Han, T Yu, Y Liu, L Fang
IEEE transactions on pattern analysis and machine intelligence 42 (10), 2508 …, 2019
Perceptual compressive sensing for image signals
Y Yang, OC Au, L Fang, X Wen, W Tang
2009 IEEE International Conference on Multimedia and Expo, 89-92, 2009
Novel 2-D MMSE subpixel-based image down-sampling
L Fang, OC Au, K Tang, X Wen, H Wang
IEEE transactions on circuits and systems for video technology 22 (5), 740-753, 2011
Antialiasing filter design for subpixel downsampling via frequency-domain analysis
L Fang, OC Au, K Tang, AK Katsaggelos
IEEE transactions on image processing 21 (3), 1391-1405, 2011
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