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 | 230 | 2017 |
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 | 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 | 97 | 2020 |
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 | 93 | 2019 |
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 | 86 | 2021 |
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 | 76 | 2016 |
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 | 62 | 2013 |
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 | 59 | 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 | 59 | 2018 |
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 | 55 | 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 | 54 | 2011 |
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 | 53 | 2015 |
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 | 48 | 2011 |
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 | 43 | 2017 |
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 | 38 | 2020 |
Subpixel-based image down-sampling with min-max directional error for stripe display L Fang, OC Au IEEE journal of selected topics in signal processing 5 (2), 240-251, 2010 | 37 | 2010 |
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 | 35 | 2019 |
Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution. H Zheng, M Ji, L Han, Z Xu, H Wang, Y Liu, L Fang BMVC 1, 2, 2017 | 35 | 2017 |
Adaptive multispectral demosaicking based on frequency-domain analysis of spectral correlation SP Jaiswal, L Fang, V Jakhetiya, J Pang, K Mueller, OC Au IEEE Transactions on Image Processing 26 (2), 953-968, 2016 | 34 | 2016 |
From 2d extrapolation to 1d interpolation: Content adaptive image bit-depth expansion P Wan, OC Au, K Tang, Y Guo, L Fang 2012 IEEE International Conference on Multimedia and Expo, 170-175, 2012 | 34 | 2012 |