方璐 - 清华大学 - 电子工程系

研究领域

We perform multidisciplinary research in the fields of Machine Intelligence and Neuromorphic Computing. To transcend the boundaries of visual computing technology, we focus on hardware-software co-designed imaging and opto-electronic co-optimized computing. Our projects relate to Gigapixel Videography, Light field Imaging, Large-scale Reconstruction, All-optical Computing, etc., towards both the smart imaging systems and intelligent algorithmic solutions.

近期论文

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PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis H. Ying, B. Jiang, J. Zhang, D. Xu, T. Yu, Q. Dai, and L. Fang, Proc. of IEEE International Conference on Computer Vision (ICCV), 2023. RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation H. Lin, Z. Chen, J. Zhang, B. Bai, Y. Wang, R. Huang, and L. Fang, Proc. of IEEE International Conference on Computer Vision (ICCV), 2023. Ultrafast dynamic machine vision with spatiotemporal photonic computing T. Zhou, W. Wu, J. Zhang, S. Yu, and L. Fang, Science Advance, 2023. Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data Y. Zhang, G. Zhang, X. Han, J. Wu, Z. Li, X. Li, G. Xiao, H. Xie, L. Fang, and Q. Dai, Nature Methods, 2023. Photonic unsupervised learning variational autoencoder for high-throughput and low-latency image transmission Y. Chen, T. Zhou, J. Wu, H. Qiao, X. Lin, L. Fang, and Q. Dai, Science Advance, 2023. Boosting Graph Contrastive Learning via Graph Contrastive Saliency C. Wei, Y. Wang, B. Bai, K. Ni, D. Brady, and L. Fang, Proceedings of the 40th International Conference on Machine Learning (ICML). DartBlur: Privacy Preservation with Detection Artifact Suppression B. Jiang, B. Bai, H. Lin, Y. Wang, Y. Guo, and L. Fang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2023. Crowd3D: Towards Hundreds of People Reconstruction from a Single Image H. Wen, J. Huang, H. Cui, H. Lin, Y. Lai, L. Fang, and K. Li, Proc. of Computer Vision and Pattern Recognition (CVPR), 2023. 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, and Q. Dai, Nature (2022). A multichannel optical computing architecture for advanced machine vision Z. Xu, X. Yuan, T. Zhou and L. Fang, Light: Science & Applications, volume 11, Article number: 255 (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, Y. Zhang, G. Zhang, X. Hu, X. Chen, Y. Zhang, H. Qiao, H. Xie, Y. Li, H. Wang, L. Fang, and Q. Dai, Nature Biotechnology, 2022: 1-11. RobustFusion: Robust Volumetric Performance Reconstruction Under Human-Object Interactions From Monocular RGBD Stream Z. Su, L. Xu, D. Zhong, Z. Li, F. Deng, S. Quan, L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Oct. 2022. ElasticMVS: Learning Elastic Part Representation for Self-supervised Multi-view Stereopsis J. Zhang, R. Tang, Z. Cao, J. Xiao, R. Huang, and L. Fang, Proc. of Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis H. Ying, J. Zhang, Y. Chen, Z. Cao, J. Xiao, R. Huang, L. Fang, Proc. of The 30th ACM International Conference on Multimedia (MM' 22). Surface Material Perception Through Multimodal Learning S. Mao, M. Ji, B. Wang, Q. Dai, L. Fang, IEEE Journal of Selected Topics in Signal Processing, 2022. INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation L. Liu, T. Zheng, Y. Lin, K. Ni, L. Fang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2022. (Oral) Learning Residual Color for Novel View Synthesis L. Han, D. Zhong, L. Li, K. Zheng and L. Fang, IEEE Trans. on Image Processing (TIP), Feb. 2022. Engram-Driven Videography L. Fang, M. Ji, X. Yuan, J. He, J. Zhang, Y. Zhu, T. Zheng, L. Liu, B. Wang and Q. Dai Engineering, Feb. 2022. 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 and Q. Dai, Nature Photonics, 2021: 1-7. (cover article) A modular hierarchical array camera X. Yuan, M. Ji, J. Wu, D. Brady, Q. Dai and L. Fang, Light: Science & Applications, volume 10, Article number: 37 (2021). (cover article) 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, L. Fang and Q. Dai, Nature Methods, volume 18, pages 1395–1400 (2021). SurRF: Unsupervised Multi-view Stereopsis by Learning Surface Radiance Field J. Zhang, M. Ji, G. Wang, X. Zhiwei, S. Wang, L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Sep. 2021. GigaMVS: A Benchmark for Ultra-large-scale Gigapixel-level 3D Reconstruction J. Zhang, J. Zhang, S. Mao, M. Ji, G. Wang, Z. Chen, T. Zhang, X. Yuan, Q. Dai and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Sep. 2021. Boosting Single Image Super-Resolution Learnt From Implicit Multi-Image Prior D. Jin, M. Ji, L. Xu, G. Wu, L. Wang, and L. Fang, IEEE Trans. on Image Processing (TIP), Feb. 2021. A^2 -FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation M. Hu, Y. Li, L. Fang and S. Wang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2021. Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection Z. Wang, Y. Li, Y. Guo, L. Fang and S. Wang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2021. Augmenting Vascular Disease Diagnosis by Vasculature-aware Unsupervised Learning Y. Wang, M. Ji, S. Jiang, X. Wang, J. Wu, F. Duan, J. Fan, L. Huang, S. Ma, L. Fang and Q. Dai, Nature Machine Intelligence, 2020. BuildingFusion: Semantic-aware Structural Building-scale 3D Reconstruction T. Zheng, G. Zhang, L. Han, L. Xu and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. Real-time Globally Consistent Dense 3D Reconstruction with Online Texturing L. Han, S. Gu, D. Zhong, S. Quan and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis M. Ji, J. Zhang, Q. Dai and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. CrossNet++: Cross-scale Large-parallax Warping for Reference-based Super-resolution Y. Tang, H. Zheng, Y. Zhu, X. Yuan, X. Lin, D. Brady and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2020. Live Semantic 3D Perception for Immersive Augmented Reality L. Han, T. Zheng, Y. Zhu, L. Xu and L. Fang, IEEE VR & IEEE Trans. on Visualization and Computer Graphics (TVCG), 2020. (Oral) Deep Learning for Camera Data Acquisition, Control, and Image Estimation D. Brady, L. Fang and Z. Ma, Advances in Optics and Photonics, 2020. 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, and Q. Dai, Photonics Research, Vol. 8, No. 6, pp.940-953, 2020. All-in-depth via Cross-baseline Light Field Camera D. Jin, A. Zhang, J. Wu, G. Wu, and L. Fang, Proc. of The 28th ACM International Conference on Multimedia (MM '20) EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera L. Xu, W. Xu, V. Golyanik, M. Habermann, L. Fang and C. Theobalt, Proc. of Computer Vision and Pattern Recognition (CVPR), 2020. (Oral) PANDA: A Gigapixel-level Human-centric Video Dataset X. Wang, X. Zhang, Y. Zhu, Y. Guo, X. Yuan, G. Ding, Q. Dai, D. Brady and L. Fang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2020. OccuSeg: Occupancy-aware 3D Instance Segmentation L. Han, T. Zheng, L. Xu and L. Fang, Proc. of Computer Vision and Pattern Recognition (CVPR), 2020. Multiscale-VR: Multiscale Gigapixel 3D Panoramic Videography for Virtual Reality J. Zhang, T. Zhu, A. Zhang, Z. Wang, X. Yuan, Q. Dai and L. Fang, Proc. of Int. Conf. on Computational Photography (ICCP),2020. (Oral) UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction using Commercial RGBD Cameras L. Xu, Z. Su, L. Han, T. Yu, Y. Liu and L. Fang, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), special issue on RGB-D Vision, April 2019. Real-time Global Registration for Globally Consistent RGBD SLAM L. Han, L. Xu, D. Bobkov, E. Steinbach and L. Fang, IEEE Trans. on Robotics (TRO) , July 2018. Fourier-space Diffractive Deep Neural Network T. Yan, J. Wu, T. Zhou, H. Xie, J. Fan, L. Fang, X. Lin and Q. Dai, Physical Review Letters (PRL), July 2019. iDFusion: Globally Consistent Dense 3D Reconstruction from RGB-D and Inertial Measurements D. Zhong, L. Han and L. Fang, Proc. of The 27th ACM International Conference on Multimedia (MM '19). Overcoming Tissue Scattering in Wide-field Two-photon Imaging by Extended Detection and Computational Reconstruction Y. Zhang, T. Zhou, X. Hu, X. Li, L. Fang, L. Kong, and Q. Dai, Optics Express, vol. 27, pp. 20117-20132, July 2019. iHuman3D: Intelligent Human Body 3D Reconstruction using a Single Flying Camera W. Cheng, L. Xu, L. Han and L. Fang, Proc. of The 26th ACM International Conference on Multimedia (MM '18). (Oral) FlashFusion: Real-time Globally Consistent Dense 3D Reconstruction using CPU Computing L. Han and L. Fang, Proc. of Robotics Science and Systems (RSS) , June 2018. (Oral) Halftone Image Watermarking by Content Aware Double-sided Embedding Error Diffusion Y. Guo, R. Wang, L. Fang and X. Cao, IEEE Trans. on Image Processing (TIP) , May 2018. CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping H. Zheng, M. Ji, H. Wang, Y. Liu and L. Fang, Proc. of European conference on computer vision (ECCV), 2018. Magnify-Net for Multi-person 2D Pose Estimation H. Wang, W. P An, X. Wang, and L. Fang, Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2018. (Oral) A Natural Shape-Preserving Stereoscopic Image Stitching H. Wang, Y. Zhou, X. Wang, and L. Fang, Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018. Adaptive Multispectral Demosaicking Based on Frequency Domain Analysis of Spectral Correlation S. Jaiswal and L. Fang, IEEE Trans. on Image Processing (TIP), Vol. 26, No. 2, pp. 953-968, Feb. 2017. SurfaceNet: an End-to-end 3D Neural Network for Multiview Stereopsis M. Ji, J. Gall, H. Zheng, Y. Liu and L. Fang, Proc. of IEEE International Conference on Computer Vision (ICCV), Oct. 2017. Beyond SIFT using Binary Features in Loop Closure Detection L. Han and L. Fang, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Sept. 2017. (Oral) MILD: Multi-index hashing for appearance based loop closure detection L. Han and L. Fang, Proc. of IEEE International Conference on Multimedia and Expo (ICME), July 2017. (Best Student Paper Award) Multiscale Gigapixel Video: A Cross Resolution Image Matching and Warping Approach X. Yuan, L. Fang, D. Brady, Y. Liu and Q. Dai, Proc. of IEEE International Conference on Computational Photography (ICCP), May 2017.(Oral) Subpixel Image Quality Assesement Syncretizing Local Subpixel and Global Pixel Features J. Zeng, L. Fang, J. Pang, H. Li and F. Wu, IEEE Trans. on Image Processing (TIP), Vol. 25, No. 12, pp. 5841 - 5856, Dec. 2016. Estimation of Virtual View Synthesis Distortion Towards Virtual View Position L. Fang, Y. Xiang, N.M. Cheung and F. Wu, IEEE Trans. on Image Processing (TIP), Vol. 25, No. 5, pp.1961 - 1976, Mar. 2016. Robust Blur Kernel Estimation for License Plate Images from Fast Moving Vehicles Q. Lu, W. Zhou, L. Fang and H. Li, IEEE Trans. on Image Processing (TIP), Vol. 25, No. 5, pp.2311 - 2323, Feb. 2016. Computation and Memory Efficient Image Segmentation Y. Zhou, T. Do, H. Zheng, N. Cheung and L. Fang, IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), Aug.2016. Deep Learning for Surface Material Classification Using Haptic and Visual Information H. Zheng, L. Fang, M. Ji, M. Strese, Y. ?zer and E. Steinbach, IEEE Trans. on Multimedia (TMM), July 2016. Subpixel-based Image Scaling for Grid-like Subpixel Arrangement: a Generalized Continuous-domain Analysis Model J. Pang, L. Fang, J. Zeng, Y. Guo and K. Tang, IEEE Trans. on Image Processing (TIP), Vol. 25, No. 3, pp.1017 - 1032, Dec. 2015. Deblurring Saturated Night Images with Function-form Kernel H. Liu, X. Sun, F. Wu and L. Fang, IEEE Trans. on Image Processing (TIP), Vol. 24, No. 11, pp.4637 - 4650, July 2015. An Analytical Model for Synthesis Distortion Estimation in 3D Video L. Fang, N. Cheung, D. Tian, A. Verto, H. Sun and O. C. Au, IEEE Trans. on Image Processing (TIP), Vol. 23, No. 1, pp.185 - 199, Jan. 2014. Luma-chroma Space Filter Design for Subpixel-based Monochrome Image Downsampling L. Fang, O. C. Au, A. K. Katsaggelos, N. Cheung and H. Li, IEEE Trans. on Image Processing (TIP), Vol. 22, No. 10, pp.1057-7149, April 2013. Subpixel Rendering: From Font Rendering to Image Subsampling L. Fang, O. C. Au and N. Cheung, IEEE Signal Processing Magazine (SPM), Vol. 30, No. 3, pp.177 - 189, May 2013. Multichannel Non-Local Means Fusion for Color Image Denoising J. Dai, O. C. Au, L. Fang, C. Pang and F. Zou, IEEE Trans. On Circuits and System for Video Technology (TCSVT), Vol. 23, No.11, pp. 1873 - 1886, June 2013. Novel 2-D MMSE Subpixel-based Image Down-sampling L. Fang, O. C. Au, K. Tang, H. Wang and X. Wen, IEEE Trans. On Circuits and Systems for Video Technology (TCSVT), Vol. 22, No. 5, pp. 740-753, Dec. 2011. Novel RD-optimized VBSME with Matching Highly Data Re-usable Hardware Architecture X. Wen, O. C. Au, J. Xu, L. Fang and R. Cha, IEEE Trans. On Circuits and Systems for Video Technology (TCSVT), Vol. 21, No. 2, Jan, 2011. Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach L. Fang, O. C. Au, Y. Chen, A. K. Katsaggelos, H. Wang and X. Wen, IEEE Trans. on Multimedia (TMM), Vol. 14, No. 4, pp. 1359-1369, Mar. 2012. Increasing Image Resolution on Portable Displays by Subpixel Rendering - a Systematic Overview L. Fang, O. C. Au, X. Wen and K. Tang, APSIPA Trans. on Signal and Information Processing (TSIP), Vol. 1, No. 1, pp. 1-10, Jan.2012.(Open-access, Most-viewed paper in 2012) Separable Kernel for Image Deblurring L. Fang, H. Liu, F. Wu, X. Sun and H. Li, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.