Patents

• Issued
• US12,069,384 |Image capture devices having phase detection auto-focus pixels.
• US11,443,447 | Three-dimensional camera system.
• US11,297,300 | Robust structured-light patterns for 3D camera system.
• US11,262,192 | High contrast structured light patterns for QIS sensors.
• US10,885,648 | Method of reconstructing three dimensional image using structured light pattern system.
• US10,740,913 | Ultrafast, robust and efficient depth estimation for structured-light based 3D camera system.
• US10,735,714 | Time-resolving sensor using shared PPD+SPAD pixel and spatial-temporal correlation for range measurement.
• US10,670,722 | Increase depth resolution and depth accuracy in ToF sensors by avoiding histogrammization.
• US10,510,160 | Multiscale weighted matching and sensor fusion for dynamic vision sensor tracking.
• US10,483,414 | Stack-type image sensor including meta-filter.
• US10,438,112 | Method and apparatus of learning neural network via hierarchical ensemble learning.
• US10,417,525 | Object Recognition with Reduced Neural Network Weight Precision.
• US10,262,399 | Image denoising with color-edge contrast preserving.
• US9,996,903 | Super-resolution in Processing Images Such as from Multi-layer Sensors.
• US9,734,567 | Label-free non-reference image quality assessment via deep neural network.
• US9,712,792 | RGB-RWB dual images by multi-layer sensors towards better image quality.
• US9,665,927 | Method and apparatus of multi-frame super resolution robust to local and global motion.
• US9,635,277 | Image Sensor, Image Sensing Method, and Image Photographing Apparatus Including Image Sensor.

• Pending
• US2022/0137226 | Hybrid Sensor System and Method for Providing 3D Imaging.
• US2020/0264288 | Single pass peak detection in lidar sensor data stream.
• US2020/0286248 | Structured light subpixel accuracy isp pipeline/fast super resolution structured light.
• US2020/0033456 | Time-resolving image sensor for range measurement and 2D greyscale imaging.
• US2019/0349569 | High-sensitivity low-power camera system for 3D structured light application.

Publications

• 2021
• L. Shi, C. Wang, Y.M. Wang, K. Kim, "Accelerated HOG+SVM for Object Recognition", Proceeding of IS&T International Symposium on Electronic Imaging(SPIE) - Intelligent Robotics and Industrial Applications using Computer Vision, Jan 2021.

• 2019
• G. Hemrit, G.D. Finlayson, A. Gijsenij, P.V. Gehler, S. Bianco, M. Drew, B. Funt, L. Shi, "Providing a Single Ground-truth for Illuminant Estimation for the ColorChecker Dataset", in IEEE Transactions on Pattern Analysis and Machine Intelligence, July 2019.
• Y.M. Wang, L. Shi, C. Wang, K.O. Kim, I. Ovsiannikov, S. Wang, "A Direct ToF Sensor with In-Pixel Differential Time-to-Charge Converters for Automotive Flash LiDAR and Other 3D Applications", 2019 International Image Sensor Workshop (IISW), Jun 2019.

• 2018
• G. Hemrit, G.D. Finlayson, A. Gijsenij, P.V. Gehler, S. Bianco, M.S. Drew, L. Shi, "Rehabilitating the Color Checker Dataset for Illuminant Estimation", Proceedings of the 26th Color and Imaging Conference, 2018.

• 2017
• Y. Horie, S. Han, J. Y. Lee, J. Kim, Y. Kim, A. Arbabi, C. Shin, L. Shi, E. Arbabi, S. M. Kamali, H. S. Lee, S. W. Hwang, and A. Faraon, "Visible Wavelength Color Filters using Dielectric Subwavelength Gratings for Backside-illuminated CMOS Image Sensor Technologies", Nano Letter, April 7, 2017.
• Z. Ji, L. Shi, Q. Zhang and I. Ovsiannikov, "Multi-frame Super Resolution Robust to Local and Global Motion", in Proceedings of SPIE Medical Imaging, Orlando, Feb 2017.

• 2015
• Z. Ji, I. Ovsiannikov, Y. Wang, L. Shi, Q. Zhang, "Reducing Weight Precision of Convolutional Neural Networks towards Large-scale On-chip Image Recognition," in Proceedings of SPIE Vol. 9496 Sensing Technology + Applications, Bellingham, Feb, 2015.

• 2013
• L. Shi and B. Funt, "Rank-Based Illumination Estimation," in Proc. of the Twenty-first IS&T Color Imaging Conference(CIC), Albuquerque, Nov, 2013.
• L. Shi, I. Ovsiannikov, D.K. Min, W. Kim, Y. Wang, G. Waligorski, H. Wang, Y. Park, and C. Chung, "RGBZ Image Restoration by Patch Clone," in Proc. of the Twenty-first IS&T Color Imaging Conference(CIC), Albuquerque, Nov, 2013.
• L. Shi, I. Ovsiannikov, D. K. Min, Y. Noh, W. Kim, S. Jung, J. Lee, D. Shin, H. Jung, G. Waligorski, M. Wang, W. Wang, Y. Park, and C. Chung, "Demosaicing for RGBZ Sensor," in Proc. SPIE Volume 8657 Computational Imaging XI, San Jose, Feb. 2013.
• D. K. Min, I. Ovsiannikov, Y. Noh, W. Kim, S. Jung, J. Lee, D. Shin, H. Jung, L. Kim, G. Waligorski, L. Shi, Y. Park, and C. Chung, "Pseudo-random Modulation for Multiple 3D Time-of-flight Camera Operation," in Proc. SPIE Volume 8650 3D Image Processing and Applications, San Jose, Feb. 2013.

• 2012
• L. Shi, B. Funt, and W. Xiong, "Illumination Estimation via Non-Negative Matrix Factorization," Journal of Electronic Imaging (JEI), 21(3), Jul-Sep 2012.
• L. Shi and B. Funt, "MaxRGB Reconsidered," Journal of Imaging Science and Technology(JIST), Vol. 56(2), March/April 2012.

• 2011
• Shi, L. (2011). Lights and Surfaces. LAP Lambert Academic Publishing.
• J. Arifovic, J. Ledyard, L. Shi, "Learning in a Repeated Battle of Sexes Game", 17th International Conference on Computing in Economics and Finance (CEF 2011), San Francisco, July 2011. url
• L. Shi, W. Xiong and B. Funt, "Illumination Estimation via Thin-Plate Spline Interpolation," Journal of the Optical Society of America A(JOSA A), Vol. 28, 5, pp. 940-948, 2011.

• 2010
• B. Funt and L. Shi, "The Rehabilitation of MaxRGB," in Proc. IS&T Eighteenth Color Imaging Conference, San Antonio, Nov. 2010.
• B. Funt and L. Shi, "The Effect of Exposure on MaxRGB Color Constancy," in Proc. SPIE Volume 7527 Human Vision and Electronic Imaging, San Jose, Jan. 2010.

• 2009
• L. Shi and B. Funt, "Monge's Unique Property of White Surfaces," in Proc. AIC 2009 Color for Science and Industry(AIC), Sydney, September 2009.

• 2008
• L. Shi, B. Funt and G. Hamarneh, "Quaternion Color Curvature," in Proc. Imaging Science and Technology Fourteenth Color Imaging Conference(CIC), Portland, Oregon, Nov 10-15, 2008.
• J. Ai, B. Funt and L. Shi, "A New Type of ART2 Architecture and Application to Color Image Segmentation," 18th International Conference on Artificial Neural Networks(ICANN), 89-98, 2008
• L. Shi and B. Funt, "Skin Colour Imaging That Is Insensitive to Lighting Conditions," in Proc. AIC 2008 Color for Science and Industry(AIC), Stockholm, June 15-18, 2008.
• L. Shi and B. Funt, "Dichromatic Illumination Estimation via Hough Transforms in 3D," the Fourth European Conference on Colour in Graphics, Imaging, and Vision(CGIV08), Barcelona Spain, June 9-13, 2008.

• 2007
• L. Shi and B. Funt, "Quaternion Colour Texture Segmentation," Special Issue on Color Image Processing for Computer Vision and Image Understanding, Vol. 107, No.1-2, 2007.
• L. Shi and B. Funt, W. Xiong , S. S. Kim, B. H. Kang, S. D. Lee and C. Y. Kim, "Illumination Estimation via Non-Negative Matrix Factorization," AIC'2007 Proc. Midterm Meeting of International Color Association(AIC), Hangzhou, July 2007.
• W. Xiong, L. Shi, B. Funt, S. Kim, B. Kang and S.D. Lee, "Illumination Estimation via Thin-Plate Spline Interpolation," in Proc. of the Fifteenth IS&T Color Imaging Conference(CIC), Albuquerque, Nov. 2007.
• W. Xiong, B. Funt, L. Shi, S. Kim, B. Kang and S.D. Lee, "Automatic White Balancing via Gray Surface Identification," in Proc. of the Fifteenth IS&T Color Imaging Conference(CIC), Albuquerque, Nov. 2007.

• 2005
• L. Shi and B. Funt, "Quaternion Colour Texture," in AIC'2005 Proc. 10th Congress of the International Color Association(AIC), Granada, May 2005.

• 2003
• S. Payandeh, J. Dill, G. Wilson, H. Zhang, L. Shi, A. J. Lomax and C. L. MacKenzie, "Demo: a Multi-modal Training Environment for Surgeons," in Proceedings of the 5th International Conference on Multimodal Interfaces(ICMI), 301-302, 2003.